feat: implementing latest version and basic interpretability methods

.github/workflows/docker-publish.yml

@@ -1,10 +1,8 @@
+# Docker image build and publish workflow
+# CREDIT: Adopted from
 name: Docker
 
-# This workflow uses actions that are not certified by GitHub.
-# They are provided by a third-party and are governed by
-# separate terms of service, privacy policy, and support
-# documentation.
-
+# running on every release and on manual dispatch
 on:
   schedule:
     - cron: '22 7 * * *'
@@ -12,21 +10,23 @@ on:
     types: created
 
 env:
-  # Use docker.io for Docker Hub if empty
+  # set the registry to the GitHub Container Registry
   REGISTRY: ghcr.io
-  # github.repository as <account>/<repo>
+  # set github.repository as <account>/<repo>
   IMAGE_NAME: ${{ github.repository }}:${{ github.ref }}
 
-
+# jobs to run
 jobs:
-  build:
 
+  # build job
+  build:
     runs-on: ubuntu-latest
     permissions:
       contents: read
       packages: write
       id-token: write
 
+    # steps to run on the job
     steps:
       - name: Checkout repository
         uses: actions/checkout@v3
@@ -34,7 +34,6 @@ jobs:
       # Install the cosign tool except on PR
       # https://github.com/sigstore/cosign-installer
       - name: Install cosign
-        if: github.event_name != 'pull_request'
         uses: sigstore/cosign-installer@6e04d228eb30da1757ee4e1dd75a0ec73a653e06 #v3.1.1
         with:
           cosign-release: 'v2.1.1'

.github/workflows/hgf-sync-main.yml

@@ -1,19 +1,28 @@
+# workflow that syncs the main branch to the Hugging Face Hub (Huggingface Spaces)
+#CREDIT Copied from Hugging Face, Inc.
+
 name: HGF Hub Sync (Main)
+# runs on pushes to the main branch and manually triggered workflows
 on:
   push:
     branches: [main]
 
   workflow_dispatch:
 
+# jobs to run
 jobs:
+  # sync job
   sync-to-hub:
     runs-on: ubuntu-latest
     steps:
+    # checkout the repository
       - uses: actions/checkout@v3
         with:
           fetch-depth: 0
           lfs: true
+      # push to hub with huggingface token
       - name: Push to hub
         env:
           HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        # run git push
         run: git push https://LennardZuendorf:$HF_TOKEN@huggingface.co/spaces/LennardZuendorf/thesis-webapp-docker main

.github/workflows/python-app.yml

@@ -1,8 +1,10 @@
-# This workflow will install Python dependencies, run tests and lint with a single version of Python
-# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+# workflow file tp build a python app and lint it
+# CREDIT: Adopted from Github Actions Documentation
+## see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
 
 name: Python Install and Linting
 
+# runs on every push/pr to any repo and on manual dispatch
 on:
   push:
 
@@ -13,23 +15,29 @@ on:
 permissions:
   contents: read
 
+# jobs to run
 jobs:
+  # main build job that installs dependencies and lints
   build:
-
     runs-on: ubuntu-latest
 
     steps:
+    # checkout the repository
     - uses: actions/checkout@v3
+    # set up python 3.10
     - name: Set up Python 3.10
       uses: actions/setup-python@v3
       with:
         python-version: "3.10"
+    # install dependencies from requirements.txt
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
         pip install pylint black
         if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+    # lint and format all files with black (as defined in pyproject.toml)
     - name: Lint & Fix with Black
       run: black .
+    # lint with pylint
     - name: Lint with Pylint
       run: pylint .

.idea/thesis-webapp.iml

@@ -1,7 +1,13 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <module type="PYTHON_MODULE" version="4">
   <component name="NewModuleRootManager">
-    <content url="file://$MODULE_DIR$" />
+    <content url="file://$MODULE_DIR$">
+      <sourceFolder url="file://$MODULE_DIR$/components/bertviz/backend" isTestSource="false" />
+      <sourceFolder url="file://$MODULE_DIR$/components/iframe/backend" isTestSource="false" />
+      <sourceFolder url="file://$MODULE_DIR$/components/shap-plots/backend" isTestSource="false" />
+      <sourceFolder url="file://$MODULE_DIR$/components/shap/backend" isTestSource="false" />
+      <sourceFolder url="file://$MODULE_DIR$/components/visualizer/backend" isTestSource="false" />
+    </content>
     <orderEntry type="jdk" jdkName="Python 3.11.6 WSL (Ubuntu): (/home/lennard/.virtualenvs/thesis/bin/python)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>

.pre-commit-config.yaml

@@ -10,15 +10,16 @@ repos:
   hooks:
     - id: black
       language_version: python3.11
+      exclude: ^components/
 - repo: local
   hooks:
     - id: pylint
       name: pylint
       entry: pylint
+      exclude: ^components/
       language: system
       types: [python]
       args:
         [
           "-rn", # Only display messages
-          "-sn", # Don't display the score
         ]

Dockerfile

@@ -1,22 +1,23 @@
-# Standard Dockerfile to build image of the webapp
+# standard Dockerfile to build a complete, working image of the webapp
 
-## complete build based on clean python (slower)
-FROM python:3.11.6
+# complete build based on clean python (slower)
+#FROM python:3.11.6
 
-## build based on python with dependencies (quicker)
-# FROM thesis:0.1.6-base
+# build based on python with dependencies (quicker) - for dev
+FROM thesis:0.2.0-base
 
-# install dependencies and copy files
+# install dependencies and copy files into image folder
 COPY requirements.txt .
 RUN pip install --no-cache-dir --upgrade -r requirements.txt
 RUN pip install fastapi uvicorn
 COPY . .
 
+# display files in image folder (for debugging)
 RUN ls --recursive .
 
 # setting config and run command
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8080"]
 
-# build and run commands
-## docker build -t thesis:0.1.6 -f Dockerfile-Light .
-## docker run -d --name thesis -p 8080:8080 thesis:0.1.6-small
+# build and run commands:
+## docker build -t thesis:0.2.0-full -f Dockerfile .
+## docker run -d --name thesis -p 8080:8080 thesis:0.2.0

Dockerfile-Base

@@ -1,4 +1,5 @@
-# Dockerfile to create base image with all needed dependencies
+# Dockerfile to create base image with all needed dependencies. for the quick dockerfile build of the webapp
+# because all dependencies are already installed, the next webapp build using this base image is much quicker
 
 # using newest python as a base image
 FROM python:3.11.6

__init__.py

@@ -0,0 +1,2 @@
+# empty init file for the package
+# for fastapi to recognize the module

backend/__init__.py

@@ -0,0 +1,2 @@
+# empty init file for the package
+# for fastapi to recognize the module

backend/controller.py

@@ -1,51 +1,106 @@
-# package imports
+# controller for the application that calls the model and explanation functions
+# and returns the updated conversation history
+
+# external imports
 import gradio as gr
 
 # internal imports
-from model import mistral, llama2 as llama
+from model import mistral, godel
+from explanation import interpret, visualize
 
 
+# main interference function that that calls chat functions depending on selections
 def interference(
     prompt,
     history,
     system_prompt,
-    model,
-    xai,
+    model_selection,
+    xai_selection,
 ):
+    # if no system prompt is given, use a default one
     if system_prompt == "":
-        system_prompt = """You are a helpful, respectful and honest assistant.
-                         Always answer as helpfully as possible, while being safe."""
-
-    if xai == "None":
-        match model:
-            case "Mistral":
-                prompt_output, history_output = mistral.chat(
-                    prompt, history, system_prompt
-                )
-            case "LlaMa 2":
-                prompt_output, history_output = llama.chat(
-                    prompt, history, system_prompt
-                )
+        system_prompt = """
+            You are a helpful, respectful and honest assistant.
+            Always answer as helpfully as possible, while being safe.
+        """
+
+    # grabs the model instance depending on the selection
+    match model_selection.lower():
+        case "mistral":
+            model = mistral
+        case "godel":
+            model = godel
+        case _:
+            # use Gradio warning to display error message
+            gr.Warning(
+                f'There was an error in the selected model. It is "{model_selection}"'
+            )
+            raise RuntimeError("There was an error in the selected model.")
+
+    # additionally, if the XAI approach is selected, grab the XAI instance
+    if xai_selection in ("SHAP", "Visualizer"):
+        match xai_selection.lower():
+            case "shap":
+                xai = interpret
+            case "visualizer":
+                xai = visualize
             case _:
-                gr.Warning("There was an error in the selected model.")
-                return "", "", ""
+                # use Gradio warning to display error message
+                gr.Warning(
+                    f"""
+                    There was an error in the selected XAI Approach.
+                    It is "{xai_selection}"
+                    """
+                )
+                raise RuntimeError("There was an error in the selected XAI approach.")
 
-        xai_output = ""
+        # call the explained chat function
+        prompt_output, history_output, xai_graphic, xai_plot = explained_chat(
+            model=model,
+            xai=xai,
+            message=prompt,
+            history=history,
+            system_prompt=system_prompt,
+        )
+    # if no (or invalid) XAI approach is selected call the vanilla chat function
+    else:
+        # call the vanilla chat function
+        prompt_output, history_output = vanilla_chat(
+            model=model,
+            message=prompt,
+            history=history,
+            system_prompt=system_prompt,
+        )
+        # set XAI outputs to disclaimer html/none
+        xai_graphic, xai_plot = "<div><h1>No Graphic to Display</h1></div>", None
 
-    elif xai in ("SHAP", "Visualizer"):
-        match model:
-            case "Mistral":
-                prompt_output, history_output, xai_output = "", "", ""
+    # return the outputs
+    return prompt_output, history_output, xai_graphic, xai_plot
 
-            case "LlaMa 2":
-                prompt_output, history_output, xai_output = "", "", ""
 
-            case _:
-                gr.Warning(f'There was an error in the selected model. It is "{model}"')
-                return "", "", ""
+# simple chat function that calls the model
+# formats prompts, calls for an answer and returns updated conversation history
+def vanilla_chat(model, message: str, history: list, system_prompt: str):
+    # formatting the prompt using the model's format_prompt function
+    prompt = model.format_prompt(message, history, system_prompt)
+    # generating an answer using the model's respond function
+    answer = model.respond(prompt)
 
-    else:
-        gr.Warning(f'There was an error in the selected XAI Approach. It is "{xai}"')
-        return "", "", ""
+    # updating the chat history with the new answer
+    history.append((prompt, answer))
+
+    # returning the updated history
+    return "", history
+
+
+def explained_chat(model, xai, message: str, history: list, system_prompt: str):
+    # formatting the prompt using the model's format_prompt function
+    prompt = model.format_prompt(message, history, system_prompt)
+
+    # generating an answer using the xai methods explain and respond function
+    answer, xai_graphic, xai_plot = xai.chat_explained(model, prompt)
+    # updating the chat history with the new answer
+    history.append((prompt, answer))
 
-    return prompt_output, history_output, xai_output
+    # returning the updated history, xai graphic and xai plot elements
+    return "", [["", ""]], xai_graphic, xai_plot

components/iframe/.gitignore

@@ -0,0 +1,9 @@
+.eggs/
+dist/
+*.pyc
+__pycache__/
+*.py[cod]
+*$py.class
+__tmp/*
+*.pyi
+node_modules

components/iframe/README.md

@@ -0,0 +1,10 @@
+
+# gradio_iframe
+A Custom Gradio component.
+
+## Example usage
+
+```python
+import gradio as gr
+from gradio_iframe import iframe
+```

components/iframe/backend/gradio_iframe/__init__.py

@@ -0,0 +1,3 @@
+from .iframe import iframe
+
+__all__ = ["iframe"]

components/iframe/backend/gradio_iframe/iframe.py

@@ -0,0 +1,72 @@
+"""gr.HTML() component."""
+
+from __future__ import annotations
+
+from typing import Any, Callable
+
+from gradio_client.documentation import document, set_documentation_group
+
+from gradio.components.base import Component
+from gradio.events import Events
+
+set_documentation_group("component")
+
+
+@document()
+class iframe(Component):
+    """
+    Used to display arbitrary iframe output.
+    Preprocessing: this component does *not* accept input.
+    Postprocessing: expects a valid iframe {str}.
+
+    Demos: text_analysis
+    Guides: key-features
+    """
+
+    EVENTS = [Events.change]
+
+    def __init__(
+        self,
+        value: str | Callable = "",
+        *,
+        label: str | None = None,
+        every: float | None = None,
+        show_label: bool | None = None,
+        visible: bool = True,
+        elem_id: str | None = None,
+        elem_classes: list[str] | str | None = None,
+        render: bool = True,
+    ):
+        """
+        Parameters:
+            value: Default value. If callable, the function will be called whenever the app loads to set the initial value of the component.
+            label: The label for this component. Is used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to.
+            every: If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. Queue must be enabled. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute.
+            show_label: This parameter has no effect.
+            visible: If False, component will be hidden.
+            elem_id: An optional string that is assigned as the id of this component in the iframe DOM. Can be used for targeting CSS styles.
+            elem_classes: An optional list of strings that are assigned as the classes of this component in the iframe DOM. Can be used for targeting CSS styles.
+            render: If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.
+        """
+        super().__init__(
+            label=label,
+            every=every,
+            show_label=show_label,
+            visible=visible,
+            elem_id=elem_id,
+            elem_classes=elem_classes,
+            render=render,
+            value=value,
+        )
+
+    def example_inputs(self) -> Any:
+        return "<p>Hello</p>"
+
+    def preprocess(self, payload: str | None) -> str | None:
+        return payload
+
+    def postprocess(self, value: str | None) -> str | None:
+        return value
+
+    def api_info(self) -> dict[str, Any]:
+        return {"type": "string"}

components/iframe/backend/gradio_iframe/templates/component/index.js

@@ -0,0 +1,1994 @@
+const {
+  SvelteComponent: lt,
+  attr: he,
+  detach: nt,
+  element: it,
+  init: st,
+  insert: ft,
+  noop: we,
+  safe_not_equal: ot,
+  toggle_class: W
+} = window.__gradio__svelte__internal, { createEventDispatcher: at } = window.__gradio__svelte__internal;
+function rt(n) {
+  let t, e;
+  return {
+    c() {
+      t = it("div"), he(t, "class", e = "prose " + /*elem_classes*/
+      n[0].join(" ") + " svelte-2qygph"), W(
+        t,
+        "min",
+        /*min_height*/
+        n[3]
+      ), W(t, "hide", !/*visible*/
+      n[2]);
+    },
+    m(l, i) {
+      ft(l, t, i), t.innerHTML = /*value*/
+      n[1];
+    },
+    p(l, [i]) {
+      i & /*value*/
+      2 && (t.innerHTML = /*value*/
+      l[1]), i & /*elem_classes*/
+      1 && e !== (e = "prose " + /*elem_classes*/
+      l[0].join(" ") + " svelte-2qygph") && he(t, "class", e), i & /*elem_classes, min_height*/
+      9 && W(
+        t,
+        "min",
+        /*min_height*/
+        l[3]
+      ), i & /*elem_classes, visible*/
+      5 && W(t, "hide", !/*visible*/
+      l[2]);
+    },
+    i: we,
+    o: we,
+    d(l) {
+      l && nt(t);
+    }
+  };
+}
+function _t(n, t, e) {
+  let { elem_classes: l = [] } = t, { value: i } = t, { visible: f = !0 } = t, { min_height: o = !1 } = t;
+  const a = at();
+  return n.$$set = (r) => {
+    "elem_classes" in r && e(0, l = r.elem_classes), "value" in r && e(1, i = r.value), "visible" in r && e(2, f = r.visible), "min_height" in r && e(3, o = r.min_height);
+  }, n.$$.update = () => {
+    n.$$.dirty & /*value*/
+    2 && a("change");
+  }, [l, i, f, o];
+}
+class ut extends lt {
+  constructor(t) {
+    super(), st(this, t, _t, rt, ot, {
+      elem_classes: 0,
+      value: 1,
+      visible: 2,
+      min_height: 3
+    });
+  }
+}
+function X(n) {
+  let t = ["", "k", "M", "G", "T", "P", "E", "Z"], e = 0;
+  for (; n > 1e3 && e < t.length - 1; )
+    n /= 1e3, e++;
+  let l = t[e];
+  return (Number.isInteger(n) ? n : n.toFixed(1)) + l;
+}
+function ee() {
+}
+function ct(n, t) {
+  return n != n ? t == t : n !== t || n && typeof n == "object" || typeof n == "function";
+}
+const Oe = typeof window < "u";
+let ve = Oe ? () => window.performance.now() : () => Date.now(), Re = Oe ? (n) => requestAnimationFrame(n) : ee;
+const Y = /* @__PURE__ */ new Set();
+function Ue(n) {
+  Y.forEach((t) => {
+    t.c(n) || (Y.delete(t), t.f());
+  }), Y.size !== 0 && Re(Ue);
+}
+function dt(n) {
+  let t;
+  return Y.size === 0 && Re(Ue), {
+    promise: new Promise((e) => {
+      Y.add(t = { c: n, f: e });
+    }),
+    abort() {
+      Y.delete(t);
+    }
+  };
+}
+const H = [];
+function mt(n, t = ee) {
+  let e;
+  const l = /* @__PURE__ */ new Set();
+  function i(a) {
+    if (ct(n, a) && (n = a, e)) {
+      const r = !H.length;
+      for (const s of l)
+        s[1](), H.push(s, n);
+      if (r) {
+        for (let s = 0; s < H.length; s += 2)
+          H[s][0](H[s + 1]);
+        H.length = 0;
+      }
+    }
+  }
+  function f(a) {
+    i(a(n));
+  }
+  function o(a, r = ee) {
+    const s = [a, r];
+    return l.add(s), l.size === 1 && (e = t(i, f) || ee), a(n), () => {
+      l.delete(s), l.size === 0 && e && (e(), e = null);
+    };
+  }
+  return { set: i, update: f, subscribe: o };
+}
+function ye(n) {
+  return Object.prototype.toString.call(n) === "[object Date]";
+}
+function se(n, t, e, l) {
+  if (typeof e == "number" || ye(e)) {
+    const i = l - e, f = (e - t) / (n.dt || 1 / 60), o = n.opts.stiffness * i, a = n.opts.damping * f, r = (o - a) * n.inv_mass, s = (f + r) * n.dt;
+    return Math.abs(s) < n.opts.precision && Math.abs(i) < n.opts.precision ? l : (n.settled = !1, ye(e) ? new Date(e.getTime() + s) : e + s);
+  } else {
+    if (Array.isArray(e))
+      return e.map(
+        (i, f) => se(n, t[f], e[f], l[f])
+      );
+    if (typeof e == "object") {
+      const i = {};
+      for (const f in e)
+        i[f] = se(n, t[f], e[f], l[f]);
+      return i;
+    } else
+      throw new Error(`Cannot spring ${typeof e} values`);
+  }
+}
+function ke(n, t = {}) {
+  const e = mt(n), { stiffness: l = 0.15, damping: i = 0.8, precision: f = 0.01 } = t;
+  let o, a, r, s = n, _ = n, c = 1, w = 0, h = !1;
+  function y(p, L = {}) {
+    _ = p;
+    const F = r = {};
+    return n == null || L.hard || C.stiffness >= 1 && C.damping >= 1 ? (h = !0, o = ve(), s = p, e.set(n = _), Promise.resolve()) : (L.soft && (w = 1 / ((L.soft === !0 ? 0.5 : +L.soft) * 60), c = 0), a || (o = ve(), h = !1, a = dt((u) => {
+      if (h)
+        return h = !1, a = null, !1;
+      c = Math.min(c + w, 1);
+      const k = {
+        inv_mass: c,
+        opts: C,
+        settled: !0,
+        dt: (u - o) * 60 / 1e3
+      }, m = se(k, s, n, _);
+      return o = u, s = n, e.set(n = m), k.settled && (a = null), !k.settled;
+    })), new Promise((u) => {
+      a.promise.then(() => {
+        F === r && u();
+      });
+    }));
+  }
+  const C = {
+    set: y,
+    update: (p, L) => y(p(_, n), L),
+    subscribe: e.subscribe,
+    stiffness: l,
+    damping: i,
+    precision: f
+  };
+  return C;
+}
+const {
+  SvelteComponent: bt,
+  append: N,
+  attr: v,
+  component_subscribe: pe,
+  detach: gt,
+  element: ht,
+  init: wt,
+  insert: vt,
+  noop: qe,
+  safe_not_equal: yt,
+  set_style: x,
+  svg_element: T,
+  toggle_class: Fe
+} = window.__gradio__svelte__internal, { onMount: kt } = window.__gradio__svelte__internal;
+function pt(n) {
+  let t, e, l, i, f, o, a, r, s, _, c, w;
+  return {
+    c() {
+      t = ht("div"), e = T("svg"), l = T("g"), i = T("path"), f = T("path"), o = T("path"), a = T("path"), r = T("g"), s = T("path"), _ = T("path"), c = T("path"), w = T("path"), v(i, "d", "M255.926 0.754768L509.702 139.936V221.027L255.926 81.8465V0.754768Z"), v(i, "fill", "#FF7C00"), v(i, "fill-opacity", "0.4"), v(i, "class", "svelte-43sxxs"), v(f, "d", "M509.69 139.936L254.981 279.641V361.255L509.69 221.55V139.936Z"), v(f, "fill", "#FF7C00"), v(f, "class", "svelte-43sxxs"), v(o, "d", "M0.250138 139.937L254.981 279.641V361.255L0.250138 221.55V139.937Z"), v(o, "fill", "#FF7C00"), v(o, "fill-opacity", "0.4"), v(o, "class", "svelte-43sxxs"), v(a, "d", "M255.923 0.232622L0.236328 139.936V221.55L255.923 81.8469V0.232622Z"), v(a, "fill", "#FF7C00"), v(a, "class", "svelte-43sxxs"), x(l, "transform", "translate(" + /*$top*/
+      n[1][0] + "px, " + /*$top*/
+      n[1][1] + "px)"), v(s, "d", "M255.926 141.5L509.702 280.681V361.773L255.926 222.592V141.5Z"), v(s, "fill", "#FF7C00"), v(s, "fill-opacity", "0.4"), v(s, "class", "svelte-43sxxs"), v(_, "d", "M509.69 280.679L254.981 420.384V501.998L509.69 362.293V280.679Z"), v(_, "fill", "#FF7C00"), v(_, "class", "svelte-43sxxs"), v(c, "d", "M0.250138 280.681L254.981 420.386V502L0.250138 362.295V280.681Z"), v(c, "fill", "#FF7C00"), v(c, "fill-opacity", "0.4"), v(c, "class", "svelte-43sxxs"), v(w, "d", "M255.923 140.977L0.236328 280.68V362.294L255.923 222.591V140.977Z"), v(w, "fill", "#FF7C00"), v(w, "class", "svelte-43sxxs"), x(r, "transform", "translate(" + /*$bottom*/
+      n[2][0] + "px, " + /*$bottom*/
+      n[2][1] + "px)"), v(e, "viewBox", "-1200 -1200 3000 3000"), v(e, "fill", "none"), v(e, "xmlns", "http://www.w3.org/2000/svg"), v(e, "class", "svelte-43sxxs"), v(t, "class", "svelte-43sxxs"), Fe(
+        t,
+        "margin",
+        /*margin*/
+        n[0]
+      );
+    },
+    m(h, y) {
+      vt(h, t, y), N(t, e), N(e, l), N(l, i), N(l, f), N(l, o), N(l, a), N(e, r), N(r, s), N(r, _), N(r, c), N(r, w);
+    },
+    p(h, [y]) {
+      y & /*$top*/
+      2 && x(l, "transform", "translate(" + /*$top*/
+      h[1][0] + "px, " + /*$top*/
+      h[1][1] + "px)"), y & /*$bottom*/
+      4 && x(r, "transform", "translate(" + /*$bottom*/
+      h[2][0] + "px, " + /*$bottom*/
+      h[2][1] + "px)"), y & /*margin*/
+      1 && Fe(
+        t,
+        "margin",
+        /*margin*/
+        h[0]
+      );
+    },
+    i: qe,
+    o: qe,
+    d(h) {
+      h && gt(t);
+    }
+  };
+}
+function qt(n, t, e) {
+  let l, i, { margin: f = !0 } = t;
+  const o = ke([0, 0]);
+  pe(n, o, (w) => e(1, l = w));
+  const a = ke([0, 0]);
+  pe(n, a, (w) => e(2, i = w));
+  let r;
+  async function s() {
+    await Promise.all([o.set([125, 140]), a.set([-125, -140])]), await Promise.all([o.set([-125, 140]), a.set([125, -140])]), await Promise.all([o.set([-125, 0]), a.set([125, -0])]), await Promise.all([o.set([125, 0]), a.set([-125, 0])]);
+  }
+  async function _() {
+    await s(), r || _();
+  }
+  async function c() {
+    await Promise.all([o.set([125, 0]), a.set([-125, 0])]), _();
+  }
+  return kt(() => (c(), () => r = !0)), n.$$set = (w) => {
+    "margin" in w && e(0, f = w.margin);
+  }, [f, l, i, o, a];
+}
+class Ft extends bt {
+  constructor(t) {
+    super(), wt(this, t, qt, pt, yt, { margin: 0 });
+  }
+}
+const {
+  SvelteComponent: Lt,
+  append: I,
+  attr: z,
+  binding_callbacks: Le,
+  check_outros: Je,
+  create_component: Ct,
+  create_slot: Mt,
+  destroy_component: Vt,
+  destroy_each: Ke,
+  detach: b,
+  element: P,
+  empty: R,
+  ensure_array_like: te,
+  get_all_dirty_from_scope: St,
+  get_slot_changes: Nt,
+  group_outros: Qe,
+  init: Tt,
+  insert: g,
+  mount_component: zt,
+  noop: fe,
+  safe_not_equal: jt,
+  set_data: S,
+  set_style: A,
+  space: j,
+  text: q,
+  toggle_class: V,
+  transition_in: G,
+  transition_out: O,
+  update_slot_base: Pt
+} = window.__gradio__svelte__internal, { tick: Zt } = window.__gradio__svelte__internal, { onDestroy: Bt } = window.__gradio__svelte__internal, At = (n) => ({}), Ce = (n) => ({});
+function Me(n, t, e) {
+  const l = n.slice();
+  return l[38] = t[e], l[40] = e, l;
+}
+function Ve(n, t, e) {
+  const l = n.slice();
+  return l[38] = t[e], l;
+}
+function Dt(n) {
+  let t, e = (
+    /*i18n*/
+    n[1]("common.error") + ""
+  ), l, i, f;
+  const o = (
+    /*#slots*/
+    n[29].error
+  ), a = Mt(
+    o,
+    n,
+    /*$$scope*/
+    n[28],
+    Ce
+  );
+  return {
+    c() {
+      t = P("span"), l = q(e), i = j(), a && a.c(), z(t, "class", "error svelte-1txqlrd");
+    },
+    m(r, s) {
+      g(r, t, s), I(t, l), g(r, i, s), a && a.m(r, s), f = !0;
+    },
+    p(r, s) {
+      (!f || s[0] & /*i18n*/
+      2) && e !== (e = /*i18n*/
+      r[1]("common.error") + "") && S(l, e), a && a.p && (!f || s[0] & /*$$scope*/
+      268435456) && Pt(
+        a,
+        o,
+        r,
+        /*$$scope*/
+        r[28],
+        f ? Nt(
+          o,
+          /*$$scope*/
+          r[28],
+          s,
+          At
+        ) : St(
+          /*$$scope*/
+          r[28]
+        ),
+        Ce
+      );
+    },
+    i(r) {
+      f || (G(a, r), f = !0);
+    },
+    o(r) {
+      O(a, r), f = !1;
+    },
+    d(r) {
+      r && (b(t), b(i)), a && a.d(r);
+    }
+  };
+}
+function Et(n) {
+  let t, e, l, i, f, o, a, r, s, _ = (
+    /*variant*/
+    n[8] === "default" && /*show_eta_bar*/
+    n[18] && /*show_progress*/
+    n[6] === "full" && Se(n)
+  );
+  function c(u, k) {
+    if (
+      /*progress*/
+      u[7]
+    )
+      return Xt;
+    if (
+      /*queue_position*/
+      u[2] !== null && /*queue_size*/
+      u[3] !== void 0 && /*queue_position*/
+      u[2] >= 0
+    )
+      return Ht;
+    if (
+      /*queue_position*/
+      u[2] === 0
+    )
+      return It;
+  }
+  let w = c(n), h = w && w(n), y = (
+    /*timer*/
+    n[5] && ze(n)
+  );
+  const C = [Rt, Ot], p = [];
+  function L(u, k) {
+    return (
+      /*last_progress_level*/
+      u[15] != null ? 0 : (
+        /*show_progress*/
+        u[6] === "full" ? 1 : -1
+      )
+    );
+  }
+  ~(f = L(n)) && (o = p[f] = C[f](n));
+  let F = !/*timer*/
+  n[5] && Ee(n);
+  return {
+    c() {
+      _ && _.c(), t = j(), e = P("div"), h && h.c(), l = j(), y && y.c(), i = j(), o && o.c(), a = j(), F && F.c(), r = R(), z(e, "class", "progress-text svelte-1txqlrd"), V(
+        e,
+        "meta-text-center",
+        /*variant*/
+        n[8] === "center"
+      ), V(
+        e,
+        "meta-text",
+        /*variant*/
+        n[8] === "default"
+      );
+    },
+    m(u, k) {
+      _ && _.m(u, k), g(u, t, k), g(u, e, k), h && h.m(e, null), I(e, l), y && y.m(e, null), g(u, i, k), ~f && p[f].m(u, k), g(u, a, k), F && F.m(u, k), g(u, r, k), s = !0;
+    },
+    p(u, k) {
+      /*variant*/
+      u[8] === "default" && /*show_eta_bar*/
+      u[18] && /*show_progress*/
+      u[6] === "full" ? _ ? _.p(u, k) : (_ = Se(u), _.c(), _.m(t.parentNode, t)) : _ && (_.d(1), _ = null), w === (w = c(u)) && h ? h.p(u, k) : (h && h.d(1), h = w && w(u), h && (h.c(), h.m(e, l))), /*timer*/
+      u[5] ? y ? y.p(u, k) : (y = ze(u), y.c(), y.m(e, null)) : y && (y.d(1), y = null), (!s || k[0] & /*variant*/
+      256) && V(
+        e,
+        "meta-text-center",
+        /*variant*/
+        u[8] === "center"
+      ), (!s || k[0] & /*variant*/
+      256) && V(
+        e,
+        "meta-text",
+        /*variant*/
+        u[8] === "default"
+      );
+      let m = f;
+      f = L(u), f === m ? ~f && p[f].p(u, k) : (o && (Qe(), O(p[m], 1, 1, () => {
+        p[m] = null;
+      }), Je()), ~f ? (o = p[f], o ? o.p(u, k) : (o = p[f] = C[f](u), o.c()), G(o, 1), o.m(a.parentNode, a)) : o = null), /*timer*/
+      u[5] ? F && (F.d(1), F = null) : F ? F.p(u, k) : (F = Ee(u), F.c(), F.m(r.parentNode, r));
+    },
+    i(u) {
+      s || (G(o), s = !0);
+    },
+    o(u) {
+      O(o), s = !1;
+    },
+    d(u) {
+      u && (b(t), b(e), b(i), b(a), b(r)), _ && _.d(u), h && h.d(), y && y.d(), ~f && p[f].d(u), F && F.d(u);
+    }
+  };
+}
+function Se(n) {
+  let t, e = `translateX(${/*eta_level*/
+  (n[17] || 0) * 100 - 100}%)`;
+  return {
+    c() {
+      t = P("div"), z(t, "class", "eta-bar svelte-1txqlrd"), A(t, "transform", e);
+    },
+    m(l, i) {
+      g(l, t, i);
+    },
+    p(l, i) {
+      i[0] & /*eta_level*/
+      131072 && e !== (e = `translateX(${/*eta_level*/
+      (l[17] || 0) * 100 - 100}%)`) && A(t, "transform", e);
+    },
+    d(l) {
+      l && b(t);
+    }
+  };
+}
+function It(n) {
+  let t;
+  return {
+    c() {
+      t = q("processing |");
+    },
+    m(e, l) {
+      g(e, t, l);
+    },
+    p: fe,
+    d(e) {
+      e && b(t);
+    }
+  };
+}
+function Ht(n) {
+  let t, e = (
+    /*queue_position*/
+    n[2] + 1 + ""
+  ), l, i, f, o;
+  return {
+    c() {
+      t = q("queue: "), l = q(e), i = q("/"), f = q(
+        /*queue_size*/
+        n[3]
+      ), o = q(" |");
+    },
+    m(a, r) {
+      g(a, t, r), g(a, l, r), g(a, i, r), g(a, f, r), g(a, o, r);
+    },
+    p(a, r) {
+      r[0] & /*queue_position*/
+      4 && e !== (e = /*queue_position*/
+      a[2] + 1 + "") && S(l, e), r[0] & /*queue_size*/
+      8 && S(
+        f,
+        /*queue_size*/
+        a[3]
+      );
+    },
+    d(a) {
+      a && (b(t), b(l), b(i), b(f), b(o));
+    }
+  };
+}
+function Xt(n) {
+  let t, e = te(
+    /*progress*/
+    n[7]
+  ), l = [];
+  for (let i = 0; i < e.length; i += 1)
+    l[i] = Te(Ve(n, e, i));
+  return {
+    c() {
+      for (let i = 0; i < l.length; i += 1)
+        l[i].c();
+      t = R();
+    },
+    m(i, f) {
+      for (let o = 0; o < l.length; o += 1)
+        l[o] && l[o].m(i, f);
+      g(i, t, f);
+    },
+    p(i, f) {
+      if (f[0] & /*progress*/
+      128) {
+        e = te(
+          /*progress*/
+          i[7]
+        );
+        let o;
+        for (o = 0; o < e.length; o += 1) {
+          const a = Ve(i, e, o);
+          l[o] ? l[o].p(a, f) : (l[o] = Te(a), l[o].c(), l[o].m(t.parentNode, t));
+        }
+        for (; o < l.length; o += 1)
+          l[o].d(1);
+        l.length = e.length;
+      }
+    },
+    d(i) {
+      i && b(t), Ke(l, i);
+    }
+  };
+}
+function Ne(n) {
+  let t, e = (
+    /*p*/
+    n[38].unit + ""
+  ), l, i, f = " ", o;
+  function a(_, c) {
+    return (
+      /*p*/
+      _[38].length != null ? Gt : Yt
+    );
+  }
+  let r = a(n), s = r(n);
+  return {
+    c() {
+      s.c(), t = j(), l = q(e), i = q(" | "), o = q(f);
+    },
+    m(_, c) {
+      s.m(_, c), g(_, t, c), g(_, l, c), g(_, i, c), g(_, o, c);
+    },
+    p(_, c) {
+      r === (r = a(_)) && s ? s.p(_, c) : (s.d(1), s = r(_), s && (s.c(), s.m(t.parentNode, t))), c[0] & /*progress*/
+      128 && e !== (e = /*p*/
+      _[38].unit + "") && S(l, e);
+    },
+    d(_) {
+      _ && (b(t), b(l), b(i), b(o)), s.d(_);
+    }
+  };
+}
+function Yt(n) {
+  let t = X(
+    /*p*/
+    n[38].index || 0
+  ) + "", e;
+  return {
+    c() {
+      e = q(t);
+    },
+    m(l, i) {
+      g(l, e, i);
+    },
+    p(l, i) {
+      i[0] & /*progress*/
+      128 && t !== (t = X(
+        /*p*/
+        l[38].index || 0
+      ) + "") && S(e, t);
+    },
+    d(l) {
+      l && b(e);
+    }
+  };
+}
+function Gt(n) {
+  let t = X(
+    /*p*/
+    n[38].index || 0
+  ) + "", e, l, i = X(
+    /*p*/
+    n[38].length
+  ) + "", f;
+  return {
+    c() {
+      e = q(t), l = q("/"), f = q(i);
+    },
+    m(o, a) {
+      g(o, e, a), g(o, l, a), g(o, f, a);
+    },
+    p(o, a) {
+      a[0] & /*progress*/
+      128 && t !== (t = X(
+        /*p*/
+        o[38].index || 0
+      ) + "") && S(e, t), a[0] & /*progress*/
+      128 && i !== (i = X(
+        /*p*/
+        o[38].length
+      ) + "") && S(f, i);
+    },
+    d(o) {
+      o && (b(e), b(l), b(f));
+    }
+  };
+}
+function Te(n) {
+  let t, e = (
+    /*p*/
+    n[38].index != null && Ne(n)
+  );
+  return {
+    c() {
+      e && e.c(), t = R();
+    },
+    m(l, i) {
+      e && e.m(l, i), g(l, t, i);
+    },
+    p(l, i) {
+      /*p*/
+      l[38].index != null ? e ? e.p(l, i) : (e = Ne(l), e.c(), e.m(t.parentNode, t)) : e && (e.d(1), e = null);
+    },
+    d(l) {
+      l && b(t), e && e.d(l);
+    }
+  };
+}
+function ze(n) {
+  let t, e = (
+    /*eta*/
+    n[0] ? `/${/*formatted_eta*/
+    n[19]}` : ""
+  ), l, i;
+  return {
+    c() {
+      t = q(
+        /*formatted_timer*/
+        n[20]
+      ), l = q(e), i = q("s");
+    },
+    m(f, o) {
+      g(f, t, o), g(f, l, o), g(f, i, o);
+    },
+    p(f, o) {
+      o[0] & /*formatted_timer*/
+      1048576 && S(
+        t,
+        /*formatted_timer*/
+        f[20]
+      ), o[0] & /*eta, formatted_eta*/
+      524289 && e !== (e = /*eta*/
+      f[0] ? `/${/*formatted_eta*/
+      f[19]}` : "") && S(l, e);
+    },
+    d(f) {
+      f && (b(t), b(l), b(i));
+    }
+  };
+}
+function Ot(n) {
+  let t, e;
+  return t = new Ft({
+    props: { margin: (
+      /*variant*/
+      n[8] === "default"
+    ) }
+  }), {
+    c() {
+      Ct(t.$$.fragment);
+    },
+    m(l, i) {
+      zt(t, l, i), e = !0;
+    },
+    p(l, i) {
+      const f = {};
+      i[0] & /*variant*/
+      256 && (f.margin = /*variant*/
+      l[8] === "default"), t.$set(f);
+    },
+    i(l) {
+      e || (G(t.$$.fragment, l), e = !0);
+    },
+    o(l) {
+      O(t.$$.fragment, l), e = !1;
+    },
+    d(l) {
+      Vt(t, l);
+    }
+  };
+}
+function Rt(n) {
+  let t, e, l, i, f, o = `${/*last_progress_level*/
+  n[15] * 100}%`, a = (
+    /*progress*/
+    n[7] != null && je(n)
+  );
+  return {
+    c() {
+      t = P("div"), e = P("div"), a && a.c(), l = j(), i = P("div"), f = P("div"), z(e, "class", "progress-level-inner svelte-1txqlrd"), z(f, "class", "progress-bar svelte-1txqlrd"), A(f, "width", o), z(i, "class", "progress-bar-wrap svelte-1txqlrd"), z(t, "class", "progress-level svelte-1txqlrd");
+    },
+    m(r, s) {
+      g(r, t, s), I(t, e), a && a.m(e, null), I(t, l), I(t, i), I(i, f), n[30](f);
+    },
+    p(r, s) {
+      /*progress*/
+      r[7] != null ? a ? a.p(r, s) : (a = je(r), a.c(), a.m(e, null)) : a && (a.d(1), a = null), s[0] & /*last_progress_level*/
+      32768 && o !== (o = `${/*last_progress_level*/
+      r[15] * 100}%`) && A(f, "width", o);
+    },
+    i: fe,
+    o: fe,
+    d(r) {
+      r && b(t), a && a.d(), n[30](null);
+    }
+  };
+}
+function je(n) {
+  let t, e = te(
+    /*progress*/
+    n[7]
+  ), l = [];
+  for (let i = 0; i < e.length; i += 1)
+    l[i] = De(Me(n, e, i));
+  return {
+    c() {
+      for (let i = 0; i < l.length; i += 1)
+        l[i].c();
+      t = R();
+    },
+    m(i, f) {
+      for (let o = 0; o < l.length; o += 1)
+        l[o] && l[o].m(i, f);
+      g(i, t, f);
+    },
+    p(i, f) {
+      if (f[0] & /*progress_level, progress*/
+      16512) {
+        e = te(
+          /*progress*/
+          i[7]
+        );
+        let o;
+        for (o = 0; o < e.length; o += 1) {
+          const a = Me(i, e, o);
+          l[o] ? l[o].p(a, f) : (l[o] = De(a), l[o].c(), l[o].m(t.parentNode, t));
+        }
+        for (; o < l.length; o += 1)
+          l[o].d(1);
+        l.length = e.length;
+      }
+    },
+    d(i) {
+      i && b(t), Ke(l, i);
+    }
+  };
+}
+function Pe(n) {
+  let t, e, l, i, f = (
+    /*i*/
+    n[40] !== 0 && Ut()
+  ), o = (
+    /*p*/
+    n[38].desc != null && Ze(n)
+  ), a = (
+    /*p*/
+    n[38].desc != null && /*progress_level*/
+    n[14] && /*progress_level*/
+    n[14][
+      /*i*/
+      n[40]
+    ] != null && Be()
+  ), r = (
+    /*progress_level*/
+    n[14] != null && Ae(n)
+  );
+  return {
+    c() {
+      f && f.c(), t = j(), o && o.c(), e = j(), a && a.c(), l = j(), r && r.c(), i = R();
+    },
+    m(s, _) {
+      f && f.m(s, _), g(s, t, _), o && o.m(s, _), g(s, e, _), a && a.m(s, _), g(s, l, _), r && r.m(s, _), g(s, i, _);
+    },
+    p(s, _) {
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+      s[38].desc != null ? o ? o.p(s, _) : (o = Ze(s), o.c(), o.m(e.parentNode, e)) : o && (o.d(1), o = null), /*p*/
+      s[38].desc != null && /*progress_level*/
+      s[14] && /*progress_level*/
+      s[14][
+        /*i*/
+        s[40]
+      ] != null ? a || (a = Be(), a.c(), a.m(l.parentNode, l)) : a && (a.d(1), a = null), /*progress_level*/
+      s[14] != null ? r ? r.p(s, _) : (r = Ae(s), r.c(), r.m(i.parentNode, i)) : r && (r.d(1), r = null);
+    },
+    d(s) {
+      s && (b(t), b(e), b(l), b(i)), f && f.d(s), o && o.d(s), a && a.d(s), r && r.d(s);
+    }
+  };
+}
+function Ut(n) {
+  let t;
+  return {
+    c() {
+      t = q(" /");
+    },
+    m(e, l) {
+      g(e, t, l);
+    },
+    d(e) {
+      e && b(t);
+    }
+  };
+}
+function Ze(n) {
+  let t = (
+    /*p*/
+    n[38].desc + ""
+  ), e;
+  return {
+    c() {
+      e = q(t);
+    },
+    m(l, i) {
+      g(l, e, i);
+    },
+    p(l, i) {
+      i[0] & /*progress*/
+      128 && t !== (t = /*p*/
+      l[38].desc + "") && S(e, t);
+    },
+    d(l) {
+      l && b(e);
+    }
+  };
+}
+function Be(n) {
+  let t;
+  return {
+    c() {
+      t = q("-");
+    },
+    m(e, l) {
+      g(e, t, l);
+    },
+    d(e) {
+      e && b(t);
+    }
+  };
+}
+function Ae(n) {
+  let t = (100 * /*progress_level*/
+  (n[14][
+    /*i*/
+    n[40]
+  ] || 0)).toFixed(1) + "", e, l;
+  return {
+    c() {
+      e = q(t), l = q("%");
+    },
+    m(i, f) {
+      g(i, e, f), g(i, l, f);
+    },
+    p(i, f) {
+      f[0] & /*progress_level*/
+      16384 && t !== (t = (100 * /*progress_level*/
+      (i[14][
+        /*i*/
+        i[40]
+      ] || 0)).toFixed(1) + "") && S(e, t);
+    },
+    d(i) {
+      i && (b(e), b(l));
+    }
+  };
+}
+function De(n) {
+  let t, e = (
+    /*p*/
+    (n[38].desc != null || /*progress_level*/
+    n[14] && /*progress_level*/
+    n[14][
+      /*i*/
+      n[40]
+    ] != null) && Pe(n)
+  );
+  return {
+    c() {
+      e && e.c(), t = R();
+    },
+    m(l, i) {
+      e && e.m(l, i), g(l, t, i);
+    },
+    p(l, i) {
+      /*p*/
+      l[38].desc != null || /*progress_level*/
+      l[14] && /*progress_level*/
+      l[14][
+        /*i*/
+        l[40]
+      ] != null ? e ? e.p(l, i) : (e = Pe(l), e.c(), e.m(t.parentNode, t)) : e && (e.d(1), e = null);
+    },
+    d(l) {
+      l && b(t), e && e.d(l);
+    }
+  };
+}
+function Ee(n) {
+  let t, e;
+  return {
+    c() {
+      t = P("p"), e = q(
+        /*loading_text*/
+        n[9]
+      ), z(t, "class", "loading svelte-1txqlrd");
+    },
+    m(l, i) {
+      g(l, t, i), I(t, e);
+    },
+    p(l, i) {
+      i[0] & /*loading_text*/
+      512 && S(
+        e,
+        /*loading_text*/
+        l[9]
+      );
+    },
+    d(l) {
+      l && b(t);
+    }
+  };
+}
+function Jt(n) {
+  let t, e, l, i, f;
+  const o = [Et, Dt], a = [];
+  function r(s, _) {
+    return (
+      /*status*/
+      s[4] === "pending" ? 0 : (
+        /*status*/
+        s[4] === "error" ? 1 : -1
+      )
+    );
+  }
+  return ~(e = r(n)) && (l = a[e] = o[e](n)), {
+    c() {
+      t = P("div"), l && l.c(), z(t, "class", i = "wrap " + /*variant*/
+      n[8] + " " + /*show_progress*/
+      n[6] + " svelte-1txqlrd"), V(t, "hide", !/*status*/
+      n[4] || /*status*/
+      n[4] === "complete" || /*show_progress*/
+      n[6] === "hidden"), V(
+        t,
+        "translucent",
+        /*variant*/
+        n[8] === "center" && /*status*/
+        (n[4] === "pending" || /*status*/
+        n[4] === "error") || /*translucent*/
+        n[11] || /*show_progress*/
+        n[6] === "minimal"
+      ), V(
+        t,
+        "generating",
+        /*status*/
+        n[4] === "generating"
+      ), V(
+        t,
+        "border",
+        /*border*/
+        n[12]
+      ), A(
+        t,
+        "position",
+        /*absolute*/
+        n[10] ? "absolute" : "static"
+      ), A(
+        t,
+        "padding",
+        /*absolute*/
+        n[10] ? "0" : "var(--size-8) 0"
+      );
+    },
+    m(s, _) {
+      g(s, t, _), ~e && a[e].m(t, null), n[31](t), f = !0;
+    },
+    p(s, _) {
+      let c = e;
+      e = r(s), e === c ? ~e && a[e].p(s, _) : (l && (Qe(), O(a[c], 1, 1, () => {
+        a[c] = null;
+      }), Je()), ~e ? (l = a[e], l ? l.p(s, _) : (l = a[e] = o[e](s), l.c()), G(l, 1), l.m(t, null)) : l = null), (!f || _[0] & /*variant, show_progress*/
+      320 && i !== (i = "wrap " + /*variant*/
+      s[8] + " " + /*show_progress*/
+      s[6] + " svelte-1txqlrd")) && z(t, "class", i), (!f || _[0] & /*variant, show_progress, status, show_progress*/
+      336) && V(t, "hide", !/*status*/
+      s[4] || /*status*/
+      s[4] === "complete" || /*show_progress*/
+      s[6] === "hidden"), (!f || _[0] & /*variant, show_progress, variant, status, translucent, show_progress*/
+      2384) && V(
+        t,
+        "translucent",
+        /*variant*/
+        s[8] === "center" && /*status*/
+        (s[4] === "pending" || /*status*/
+        s[4] === "error") || /*translucent*/
+        s[11] || /*show_progress*/
+        s[6] === "minimal"
+      ), (!f || _[0] & /*variant, show_progress, status*/
+      336) && V(
+        t,
+        "generating",
+        /*status*/
+        s[4] === "generating"
+      ), (!f || _[0] & /*variant, show_progress, border*/
+      4416) && V(
+        t,
+        "border",
+        /*border*/
+        s[12]
+      ), _[0] & /*absolute*/
+      1024 && A(
+        t,
+        "position",
+        /*absolute*/
+        s[10] ? "absolute" : "static"
+      ), _[0] & /*absolute*/
+      1024 && A(
+        t,
+        "padding",
+        /*absolute*/
+        s[10] ? "0" : "var(--size-8) 0"
+      );
+    },
+    i(s) {
+      f || (G(l), f = !0);
+    },
+    o(s) {
+      O(l), f = !1;
+    },
+    d(s) {
+      s && b(t), ~e && a[e].d(), n[31](null);
+    }
+  };
+}
+let $ = [], ie = !1;
+async function Kt(n, t = !0) {
+  if (!(window.__gradio_mode__ === "website" || window.__gradio_mode__ !== "app" && t !== !0)) {
+    if ($.push(n), !ie)
+      ie = !0;
+    else
+      return;
+    await Zt(), requestAnimationFrame(() => {
+      let e = [0, 0];
+      for (let l = 0; l < $.length; l++) {
+        const f = $[l].getBoundingClientRect();
+        (l === 0 || f.top + window.scrollY <= e[0]) && (e[0] = f.top + window.scrollY, e[1] = l);
+      }
+      window.scrollTo({ top: e[0] - 20, behavior: "smooth" }), ie = !1, $ = [];
+    });
+  }
+}
+function Qt(n, t, e) {
+  let l, { $$slots: i = {}, $$scope: f } = t, { i18n: o } = t, { eta: a = null } = t, { queue: r = !1 } = t, { queue_position: s } = t, { queue_size: _ } = t, { status: c } = t, { scroll_to_output: w = !1 } = t, { timer: h = !0 } = t, { show_progress: y = "full" } = t, { message: C = null } = t, { progress: p = null } = t, { variant: L = "default" } = t, { loading_text: F = "Loading..." } = t, { absolute: u = !0 } = t, { translucent: k = !1 } = t, { border: m = !1 } = t, { autoscroll: le } = t, U, J = !1, Q = 0, D = 0, ne = null, ce = 0, E = null, K, Z = null, de = !0;
+  const $e = () => {
+    e(25, Q = performance.now()), e(26, D = 0), J = !0, me();
+  };
+  function me() {
+    requestAnimationFrame(() => {
+      e(26, D = (performance.now() - Q) / 1e3), J && me();
+    });
+  }
+  function be() {
+    e(26, D = 0), J && (J = !1);
+  }
+  Bt(() => {
+    J && be();
+  });
+  let ge = null;
+  function et(d) {
+    Le[d ? "unshift" : "push"](() => {
+      Z = d, e(16, Z), e(7, p), e(14, E), e(15, K);
+    });
+  }
+  function tt(d) {
+    Le[d ? "unshift" : "push"](() => {
+      U = d, e(13, U);
+    });
+  }
+  return n.$$set = (d) => {
+    "i18n" in d && e(1, o = d.i18n), "eta" in d && e(0, a = d.eta), "queue" in d && e(21, r = d.queue), "queue_position" in d && e(2, s = d.queue_position), "queue_size" in d && e(3, _ = d.queue_size), "status" in d && e(4, c = d.status), "scroll_to_output" in d && e(22, w = d.scroll_to_output), "timer" in d && e(5, h = d.timer), "show_progress" in d && e(6, y = d.show_progress), "message" in d && e(23, C = d.message), "progress" in d && e(7, p = d.progress), "variant" in d && e(8, L = d.variant), "loading_text" in d && e(9, F = d.loading_text), "absolute" in d && e(10, u = d.absolute), "translucent" in d && e(11, k = d.translucent), "border" in d && e(12, m = d.border), "autoscroll" in d && e(24, le = d.autoscroll), "$$scope" in d && e(28, f = d.$$scope);
+  }, n.$$.update = () => {
+    n.$$.dirty[0] & /*eta, old_eta, queue, timer_start*/
+    169869313 && (a === null ? e(0, a = ne) : r && e(0, a = (performance.now() - Q) / 1e3 + a), a != null && (e(19, ge = a.toFixed(1)), e(27, ne = a))), n.$$.dirty[0] & /*eta, timer_diff*/
+    67108865 && e(17, ce = a === null || a <= 0 || !D ? null : Math.min(D / a, 1)), n.$$.dirty[0] & /*progress*/
+    128 && p != null && e(18, de = !1), n.$$.dirty[0] & /*progress, progress_level, progress_bar, last_progress_level*/
+    114816 && (p != null ? e(14, E = p.map((d) => {
+      if (d.index != null && d.length != null)
+        return d.index / d.length;
+      if (d.progress != null)
+        return d.progress;
+    })) : e(14, E = null), E ? (e(15, K = E[E.length - 1]), Z && (K === 0 ? e(16, Z.style.transition = "0", Z) : e(16, Z.style.transition = "150ms", Z))) : e(15, K = void 0)), n.$$.dirty[0] & /*status*/
+    16 && (c === "pending" ? $e() : be()), n.$$.dirty[0] & /*el, scroll_to_output, status, autoscroll*/
+    20979728 && U && w && (c === "pending" || c === "complete") && Kt(U, le), n.$$.dirty[0] & /*status, message*/
+    8388624, n.$$.dirty[0] & /*timer_diff*/
+    67108864 && e(20, l = D.toFixed(1));
+  }, [
+    a,
+    o,
+    s,
+    _,
+    c,
+    h,
+    y,
+    p,
+    L,
+    F,
+    u,
+    k,
+    m,
+    U,
+    E,
+    K,
+    Z,
+    ce,
+    de,
+    ge,
+    l,
+    r,
+    w,
+    C,
+    le,
+    Q,
+    D,
+    ne,
+    f,
+    i,
+    et,
+    tt
+  ];
+}
+class Wt extends Lt {
+  constructor(t) {
+    super(), Tt(
+      this,
+      t,
+      Qt,
+      Jt,
+      jt,
+      {
+        i18n: 1,
+        eta: 0,
+        queue: 21,
+        queue_position: 2,
+        queue_size: 3,
+        status: 4,
+        scroll_to_output: 22,
+        timer: 5,
+        show_progress: 6,
+        message: 23,
+        progress: 7,
+        variant: 8,
+        loading_text: 9,
+        absolute: 10,
+        translucent: 11,
+        border: 12,
+        autoscroll: 24
+      },
+      null,
+      [-1, -1]
+    );
+  }
+}
+const {
+  SvelteComponent: xt,
+  assign: $t,
+  create_slot: el,
+  detach: tl,
+  element: ll,
+  get_all_dirty_from_scope: nl,
+  get_slot_changes: il,
+  get_spread_update: sl,
+  init: fl,
+  insert: ol,
+  safe_not_equal: al,
+  set_dynamic_element_data: Ie,
+  set_style: M,
+  toggle_class: B,
+  transition_in: We,
+  transition_out: xe,
+  update_slot_base: rl
+} = window.__gradio__svelte__internal;
+function _l(n) {
+  let t, e, l;
+  const i = (
+    /*#slots*/
+    n[17].default
+  ), f = el(
+    i,
+    n,
+    /*$$scope*/
+    n[16],
+    null
+  );
+  let o = [
+    { "data-testid": (
+      /*test_id*/
+      n[7]
+    ) },
+    { id: (
+      /*elem_id*/
+      n[2]
+    ) },
+    {
+      class: e = "block " + /*elem_classes*/
+      n[3].join(" ") + " svelte-1t38q2d"
+    }
+  ], a = {};
+  for (let r = 0; r < o.length; r += 1)
+    a = $t(a, o[r]);
+  return {
+    c() {
+      t = ll(
+        /*tag*/
+        n[14]
+      ), f && f.c(), Ie(
+        /*tag*/
+        n[14]
+      )(t, a), B(
+        t,
+        "hidden",
+        /*visible*/
+        n[10] === !1
+      ), B(
+        t,
+        "padded",
+        /*padding*/
+        n[6]
+      ), B(
+        t,
+        "border_focus",
+        /*border_mode*/
+        n[5] === "focus"
+      ), B(t, "hide-container", !/*explicit_call*/
+      n[8] && !/*container*/
+      n[9]), M(t, "height", typeof /*height*/
+      n[0] == "number" ? (
+        /*height*/
+        n[0] + "px"
+      ) : void 0), M(t, "width", typeof /*width*/
+      n[1] == "number" ? `calc(min(${/*width*/
+      n[1]}px, 100%))` : void 0), M(
+        t,
+        "border-style",
+        /*variant*/
+        n[4]
+      ), M(
+        t,
+        "overflow",
+        /*allow_overflow*/
+        n[11] ? "visible" : "hidden"
+      ), M(
+        t,
+        "flex-grow",
+        /*scale*/
+        n[12]
+      ), M(t, "min-width", `calc(min(${/*min_width*/
+      n[13]}px, 100%))`), M(t, "border-width", "var(--block-border-width)");
+    },
+    m(r, s) {
+      ol(r, t, s), f && f.m(t, null), l = !0;
+    },
+    p(r, s) {
+      f && f.p && (!l || s & /*$$scope*/
+      65536) && rl(
+        f,
+        i,
+        r,
+        /*$$scope*/
+        r[16],
+        l ? il(
+          i,
+          /*$$scope*/
+          r[16],
+          s,
+          null
+        ) : nl(
+          /*$$scope*/
+          r[16]
+        ),
+        null
+      ), Ie(
+        /*tag*/
+        r[14]
+      )(t, a = sl(o, [
+        (!l || s & /*test_id*/
+        128) && { "data-testid": (
+          /*test_id*/
+          r[7]
+        ) },
+        (!l || s & /*elem_id*/
+        4) && { id: (
+          /*elem_id*/
+          r[2]
+        ) },
+        (!l || s & /*elem_classes*/
+        8 && e !== (e = "block " + /*elem_classes*/
+        r[3].join(" ") + " svelte-1t38q2d")) && { class: e }
+      ])), B(
+        t,
+        "hidden",
+        /*visible*/
+        r[10] === !1
+      ), B(
+        t,
+        "padded",
+        /*padding*/
+        r[6]
+      ), B(
+        t,
+        "border_focus",
+        /*border_mode*/
+        r[5] === "focus"
+      ), B(t, "hide-container", !/*explicit_call*/
+      r[8] && !/*container*/
+      r[9]), s & /*height*/
+      1 && M(t, "height", typeof /*height*/
+      r[0] == "number" ? (
+        /*height*/
+        r[0] + "px"
+      ) : void 0), s & /*width*/
+      2 && M(t, "width", typeof /*width*/
+      r[1] == "number" ? `calc(min(${/*width*/
+      r[1]}px, 100%))` : void 0), s & /*variant*/
+      16 && M(
+        t,
+        "border-style",
+        /*variant*/
+        r[4]
+      ), s & /*allow_overflow*/
+      2048 && M(
+        t,
+        "overflow",
+        /*allow_overflow*/
+        r[11] ? "visible" : "hidden"
+      ), s & /*scale*/
+      4096 && M(
+        t,
+        "flex-grow",
+        /*scale*/
+        r[12]
+      ), s & /*min_width*/
+      8192 && M(t, "min-width", `calc(min(${/*min_width*/
+      r[13]}px, 100%))`);
+    },
+    i(r) {
+      l || (We(f, r), l = !0);
+    },
+    o(r) {
+      xe(f, r), l = !1;
+    },
+    d(r) {
+      r && tl(t), f && f.d(r);
+    }
+  };
+}
+function ul(n) {
+  let t, e = (
+    /*tag*/
+    n[14] && _l(n)
+  );
+  return {
+    c() {
+      e && e.c();
+    },
+    m(l, i) {
+      e && e.m(l, i), t = !0;
+    },
+    p(l, [i]) {
+      /*tag*/
+      l[14] && e.p(l, i);
+    },
+    i(l) {
+      t || (We(e, l), t = !0);
+    },
+    o(l) {
+      xe(e, l), t = !1;
+    },
+    d(l) {
+      e && e.d(l);
+    }
+  };
+}
+function cl(n, t, e) {
+  let { $$slots: l = {}, $$scope: i } = t, { height: f = void 0 } = t, { width: o = void 0 } = t, { elem_id: a = "" } = t, { elem_classes: r = [] } = t, { variant: s = "solid" } = t, { border_mode: _ = "base" } = t, { padding: c = !0 } = t, { type: w = "normal" } = t, { test_id: h = void 0 } = t, { explicit_call: y = !1 } = t, { container: C = !0 } = t, { visible: p = !0 } = t, { allow_overflow: L = !0 } = t, { scale: F = null } = t, { min_width: u = 0 } = t, k = w === "fieldset" ? "fieldset" : "div";
+  return n.$$set = (m) => {
+    "height" in m && e(0, f = m.height), "width" in m && e(1, o = m.width), "elem_id" in m && e(2, a = m.elem_id), "elem_classes" in m && e(3, r = m.elem_classes), "variant" in m && e(4, s = m.variant), "border_mode" in m && e(5, _ = m.border_mode), "padding" in m && e(6, c = m.padding), "type" in m && e(15, w = m.type), "test_id" in m && e(7, h = m.test_id), "explicit_call" in m && e(8, y = m.explicit_call), "container" in m && e(9, C = m.container), "visible" in m && e(10, p = m.visible), "allow_overflow" in m && e(11, L = m.allow_overflow), "scale" in m && e(12, F = m.scale), "min_width" in m && e(13, u = m.min_width), "$$scope" in m && e(16, i = m.$$scope);
+  }, [
+    f,
+    o,
+    a,
+    r,
+    s,
+    _,
+    c,
+    h,
+    y,
+    C,
+    p,
+    L,
+    F,
+    u,
+    k,
+    w,
+    i,
+    l
+  ];
+}
+class dl extends xt {
+  constructor(t) {
+    super(), fl(this, t, cl, ul, al, {
+      height: 0,
+      width: 1,
+      elem_id: 2,
+      elem_classes: 3,
+      variant: 4,
+      border_mode: 5,
+      padding: 6,
+      type: 15,
+      test_id: 7,
+      explicit_call: 8,
+      container: 9,
+      visible: 10,
+      allow_overflow: 11,
+      scale: 12,
+      min_width: 13
+    });
+  }
+}
+const ml = [
+  { color: "red", primary: 600, secondary: 100 },
+  { color: "green", primary: 600, secondary: 100 },
+  { color: "blue", primary: 600, secondary: 100 },
+  { color: "yellow", primary: 500, secondary: 100 },
+  { color: "purple", primary: 600, secondary: 100 },
+  { color: "teal", primary: 600, secondary: 100 },
+  { color: "orange", primary: 600, secondary: 100 },
+  { color: "cyan", primary: 600, secondary: 100 },
+  { color: "lime", primary: 500, secondary: 100 },
+  { color: "pink", primary: 600, secondary: 100 }
+], He = {
+  inherit: "inherit",
+  current: "currentColor",
+  transparent: "transparent",
+  black: "#000",
+  white: "#fff",
+  slate: {
+    50: "#f8fafc",
+    100: "#f1f5f9",
+    200: "#e2e8f0",
+    300: "#cbd5e1",
+    400: "#94a3b8",
+    500: "#64748b",
+    600: "#475569",
+    700: "#334155",
+    800: "#1e293b",
+    900: "#0f172a",
+    950: "#020617"
+  },
+  gray: {
+    50: "#f9fafb",
+    100: "#f3f4f6",
+    200: "#e5e7eb",
+    300: "#d1d5db",
+    400: "#9ca3af",
+    500: "#6b7280",
+    600: "#4b5563",
+    700: "#374151",
+    800: "#1f2937",
+    900: "#111827",
+    950: "#030712"
+  },
+  zinc: {
+    50: "#fafafa",
+    100: "#f4f4f5",
+    200: "#e4e4e7",
+    300: "#d4d4d8",
+    400: "#a1a1aa",
+    500: "#71717a",
+    600: "#52525b",
+    700: "#3f3f46",
+    800: "#27272a",
+    900: "#18181b",
+    950: "#09090b"
+  },
+  neutral: {
+    50: "#fafafa",
+    100: "#f5f5f5",
+    200: "#e5e5e5",
+    300: "#d4d4d4",
+    400: "#a3a3a3",
+    500: "#737373",
+    600: "#525252",
+    700: "#404040",
+    800: "#262626",
+    900: "#171717",
+    950: "#0a0a0a"
+  },
+  stone: {
+    50: "#fafaf9",
+    100: "#f5f5f4",
+    200: "#e7e5e4",
+    300: "#d6d3d1",
+    400: "#a8a29e",
+    500: "#78716c",
+    600: "#57534e",
+    700: "#44403c",
+    800: "#292524",
+    900: "#1c1917",
+    950: "#0c0a09"
+  },
+  red: {
+    50: "#fef2f2",
+    100: "#fee2e2",
+    200: "#fecaca",
+    300: "#fca5a5",
+    400: "#f87171",
+    500: "#ef4444",
+    600: "#dc2626",
+    700: "#b91c1c",
+    800: "#991b1b",
+    900: "#7f1d1d",
+    950: "#450a0a"
+  },
+  orange: {
+    50: "#fff7ed",
+    100: "#ffedd5",
+    200: "#fed7aa",
+    300: "#fdba74",
+    400: "#fb923c",
+    500: "#f97316",
+    600: "#ea580c",
+    700: "#c2410c",
+    800: "#9a3412",
+    900: "#7c2d12",
+    950: "#431407"
+  },
+  amber: {
+    50: "#fffbeb",
+    100: "#fef3c7",
+    200: "#fde68a",
+    300: "#fcd34d",
+    400: "#fbbf24",
+    500: "#f59e0b",
+    600: "#d97706",
+    700: "#b45309",
+    800: "#92400e",
+    900: "#78350f",
+    950: "#451a03"
+  },
+  yellow: {
+    50: "#fefce8",
+    100: "#fef9c3",
+    200: "#fef08a",
+    300: "#fde047",
+    400: "#facc15",
+    500: "#eab308",
+    600: "#ca8a04",
+    700: "#a16207",
+    800: "#854d0e",
+    900: "#713f12",
+    950: "#422006"
+  },
+  lime: {
+    50: "#f7fee7",
+    100: "#ecfccb",
+    200: "#d9f99d",
+    300: "#bef264",
+    400: "#a3e635",
+    500: "#84cc16",
+    600: "#65a30d",
+    700: "#4d7c0f",
+    800: "#3f6212",
+    900: "#365314",
+    950: "#1a2e05"
+  },
+  green: {
+    50: "#f0fdf4",
+    100: "#dcfce7",
+    200: "#bbf7d0",
+    300: "#86efac",
+    400: "#4ade80",
+    500: "#22c55e",
+    600: "#16a34a",
+    700: "#15803d",
+    800: "#166534",
+    900: "#14532d",
+    950: "#052e16"
+  },
+  emerald: {
+    50: "#ecfdf5",
+    100: "#d1fae5",
+    200: "#a7f3d0",
+    300: "#6ee7b7",
+    400: "#34d399",
+    500: "#10b981",
+    600: "#059669",
+    700: "#047857",
+    800: "#065f46",
+    900: "#064e3b",
+    950: "#022c22"
+  },
+  teal: {
+    50: "#f0fdfa",
+    100: "#ccfbf1",
+    200: "#99f6e4",
+    300: "#5eead4",
+    400: "#2dd4bf",
+    500: "#14b8a6",
+    600: "#0d9488",
+    700: "#0f766e",
+    800: "#115e59",
+    900: "#134e4a",
+    950: "#042f2e"
+  },
+  cyan: {
+    50: "#ecfeff",
+    100: "#cffafe",
+    200: "#a5f3fc",
+    300: "#67e8f9",
+    400: "#22d3ee",
+    500: "#06b6d4",
+    600: "#0891b2",
+    700: "#0e7490",
+    800: "#155e75",
+    900: "#164e63",
+    950: "#083344"
+  },
+  sky: {
+    50: "#f0f9ff",
+    100: "#e0f2fe",
+    200: "#bae6fd",
+    300: "#7dd3fc",
+    400: "#38bdf8",
+    500: "#0ea5e9",
+    600: "#0284c7",
+    700: "#0369a1",
+    800: "#075985",
+    900: "#0c4a6e",
+    950: "#082f49"
+  },
+  blue: {
+    50: "#eff6ff",
+    100: "#dbeafe",
+    200: "#bfdbfe",
+    300: "#93c5fd",
+    400: "#60a5fa",
+    500: "#3b82f6",
+    600: "#2563eb",
+    700: "#1d4ed8",
+    800: "#1e40af",
+    900: "#1e3a8a",
+    950: "#172554"
+  },
+  indigo: {
+    50: "#eef2ff",
+    100: "#e0e7ff",
+    200: "#c7d2fe",
+    300: "#a5b4fc",
+    400: "#818cf8",
+    500: "#6366f1",
+    600: "#4f46e5",
+    700: "#4338ca",
+    800: "#3730a3",
+    900: "#312e81",
+    950: "#1e1b4b"
+  },
+  violet: {
+    50: "#f5f3ff",
+    100: "#ede9fe",
+    200: "#ddd6fe",
+    300: "#c4b5fd",
+    400: "#a78bfa",
+    500: "#8b5cf6",
+    600: "#7c3aed",
+    700: "#6d28d9",
+    800: "#5b21b6",
+    900: "#4c1d95",
+    950: "#2e1065"
+  },
+  purple: {
+    50: "#faf5ff",
+    100: "#f3e8ff",
+    200: "#e9d5ff",
+    300: "#d8b4fe",
+    400: "#c084fc",
+    500: "#a855f7",
+    600: "#9333ea",
+    700: "#7e22ce",
+    800: "#6b21a8",
+    900: "#581c87",
+    950: "#3b0764"
+  },
+  fuchsia: {
+    50: "#fdf4ff",
+    100: "#fae8ff",
+    200: "#f5d0fe",
+    300: "#f0abfc",
+    400: "#e879f9",
+    500: "#d946ef",
+    600: "#c026d3",
+    700: "#a21caf",
+    800: "#86198f",
+    900: "#701a75",
+    950: "#4a044e"
+  },
+  pink: {
+    50: "#fdf2f8",
+    100: "#fce7f3",
+    200: "#fbcfe8",
+    300: "#f9a8d4",
+    400: "#f472b6",
+    500: "#ec4899",
+    600: "#db2777",
+    700: "#be185d",
+    800: "#9d174d",
+    900: "#831843",
+    950: "#500724"
+  },
+  rose: {
+    50: "#fff1f2",
+    100: "#ffe4e6",
+    200: "#fecdd3",
+    300: "#fda4af",
+    400: "#fb7185",
+    500: "#f43f5e",
+    600: "#e11d48",
+    700: "#be123c",
+    800: "#9f1239",
+    900: "#881337",
+    950: "#4c0519"
+  }
+};
+ml.reduce(
+  (n, { color: t, primary: e, secondary: l }) => ({
+    ...n,
+    [t]: {
+      primary: He[t][e],
+      secondary: He[t][l]
+    }
+  }),
+  {}
+);
+const {
+  SvelteComponent: bl,
+  assign: gl,
+  attr: hl,
+  create_component: oe,
+  destroy_component: ae,
+  detach: Xe,
+  element: wl,
+  get_spread_object: vl,
+  get_spread_update: yl,
+  init: kl,
+  insert: Ye,
+  mount_component: re,
+  safe_not_equal: pl,
+  space: ql,
+  toggle_class: Ge,
+  transition_in: _e,
+  transition_out: ue
+} = window.__gradio__svelte__internal;
+function Fl(n) {
+  var r;
+  let t, e, l, i, f;
+  const o = [
+    { autoscroll: (
+      /*gradio*/
+      n[5].autoscroll
+    ) },
+    { i18n: (
+      /*gradio*/
+      n[5].i18n
+    ) },
+    /*loading_status*/
+    n[4],
+    { variant: "center" }
+  ];
+  let a = {};
+  for (let s = 0; s < o.length; s += 1)
+    a = gl(a, o[s]);
+  return t = new Wt({ props: a }), i = new ut({
+    props: {
+      min_height: (
+        /*loading_status*/
+        n[4] && /*loading_status*/
+        ((r = n[4]) == null ? void 0 : r.status) !== "complete"
+      ),
+      value: (
+        /*value*/
+        n[3]
+      ),
+      elem_classes: (
+        /*elem_classes*/
+        n[1]
+      ),
+      visible: (
+        /*visible*/
+        n[2]
+      )
+    }
+  }), i.$on(
+    "change",
+    /*change_handler*/
+    n[7]
+  ), {
+    c() {
+      var s;
+      oe(t.$$.fragment), e = ql(), l = wl("div"), oe(i.$$.fragment), hl(l, "class", "svelte-gqsrr7"), Ge(
+        l,
+        "pending",
+        /*loading_status*/
+        ((s = n[4]) == null ? void 0 : s.status) === "pending"
+      );
+    },
+    m(s, _) {
+      re(t, s, _), Ye(s, e, _), Ye(s, l, _), re(i, l, null), f = !0;
+    },
+    p(s, _) {
+      var h, y;
+      const c = _ & /*gradio, loading_status*/
+      48 ? yl(o, [
+        _ & /*gradio*/
+        32 && { autoscroll: (
+          /*gradio*/
+          s[5].autoscroll
+        ) },
+        _ & /*gradio*/
+        32 && { i18n: (
+          /*gradio*/
+          s[5].i18n
+        ) },
+        _ & /*loading_status*/
+        16 && vl(
+          /*loading_status*/
+          s[4]
+        ),
+        o[3]
+      ]) : {};
+      t.$set(c);
+      const w = {};
+      _ & /*loading_status*/
+      16 && (w.min_height = /*loading_status*/
+      s[4] && /*loading_status*/
+      ((h = s[4]) == null ? void 0 : h.status) !== "complete"), _ & /*value*/
+      8 && (w.value = /*value*/
+      s[3]), _ & /*elem_classes*/
+      2 && (w.elem_classes = /*elem_classes*/
+      s[1]), _ & /*visible*/
+      4 && (w.visible = /*visible*/
+      s[2]), i.$set(w), (!f || _ & /*loading_status*/
+      16) && Ge(
+        l,
+        "pending",
+        /*loading_status*/
+        ((y = s[4]) == null ? void 0 : y.status) === "pending"
+      );
+    },
+    i(s) {
+      f || (_e(t.$$.fragment, s), _e(i.$$.fragment, s), f = !0);
+    },
+    o(s) {
+      ue(t.$$.fragment, s), ue(i.$$.fragment, s), f = !1;
+    },
+    d(s) {
+      s && (Xe(e), Xe(l)), ae(t, s), ae(i);
+    }
+  };
+}
+function Ll(n) {
+  let t, e;
+  return t = new dl({
+    props: {
+      visible: (
+        /*visible*/
+        n[2]
+      ),
+      elem_id: (
+        /*elem_id*/
+        n[0]
+      ),
+      elem_classes: (
+        /*elem_classes*/
+        n[1]
+      ),
+      container: !1,
+      $$slots: { default: [Fl] },
+      $$scope: { ctx: n }
+    }
+  }), {
+    c() {
+      oe(t.$$.fragment);
+    },
+    m(l, i) {
+      re(t, l, i), e = !0;
+    },
+    p(l, [i]) {
+      const f = {};
+      i & /*visible*/
+      4 && (f.visible = /*visible*/
+      l[2]), i & /*elem_id*/
+      1 && (f.elem_id = /*elem_id*/
+      l[0]), i & /*elem_classes*/
+      2 && (f.elem_classes = /*elem_classes*/
+      l[1]), i & /*$$scope, loading_status, value, elem_classes, visible, gradio*/
+      318 && (f.$$scope = { dirty: i, ctx: l }), t.$set(f);
+    },
+    i(l) {
+      e || (_e(t.$$.fragment, l), e = !0);
+    },
+    o(l) {
+      ue(t.$$.fragment, l), e = !1;
+    },
+    d(l) {
+      ae(t, l);
+    }
+  };
+}
+function Cl(n, t, e) {
+  let { label: l } = t, { elem_id: i = "" } = t, { elem_classes: f = [] } = t, { visible: o = !0 } = t, { value: a = "" } = t, { loading_status: r } = t, { gradio: s } = t;
+  const _ = () => s.dispatch("change");
+  return n.$$set = (c) => {
+    "label" in c && e(6, l = c.label), "elem_id" in c && e(0, i = c.elem_id), "elem_classes" in c && e(1, f = c.elem_classes), "visible" in c && e(2, o = c.visible), "value" in c && e(3, a = c.value), "loading_status" in c && e(4, r = c.loading_status), "gradio" in c && e(5, s = c.gradio);
+  }, n.$$.update = () => {
+    n.$$.dirty & /*label, gradio*/
+    96 && s.dispatch("change");
+  }, [
+    i,
+    f,
+    o,
+    a,
+    r,
+    s,
+    l,
+    _
+  ];
+}
+class Ml extends bl {
+  constructor(t) {
+    super(), kl(this, t, Cl, Ll, pl, {
+      label: 6,
+      elem_id: 0,
+      elem_classes: 1,
+      visible: 2,
+      value: 3,
+      loading_status: 4,
+      gradio: 5
+    });
+  }
+}
+export {
+  Ml as default
+};

components/iframe/backend/gradio_iframe/templates/component/style.css

@@ -0,0 +1 @@
+.min.svelte-2qygph{min-height:var(--size-24)}.hide.svelte-2qygph{display:none}svg.svelte-43sxxs.svelte-43sxxs{width:var(--size-20);height:var(--size-20)}svg.svelte-43sxxs path.svelte-43sxxs{fill:var(--loader-color)}div.svelte-43sxxs.svelte-43sxxs{z-index:var(--layer-2)}.margin.svelte-43sxxs.svelte-43sxxs{margin:var(--size-4)}.wrap.svelte-1txqlrd.svelte-1txqlrd{display:flex;flex-direction:column;justify-content:center;align-items:center;z-index:var(--layer-top);transition:opacity .1s ease-in-out;border-radius:var(--block-radius);background:var(--block-background-fill);padding:0 var(--size-6);max-height:var(--size-screen-h);overflow:hidden;pointer-events:none}.wrap.center.svelte-1txqlrd.svelte-1txqlrd{top:0;right:0;left:0}.wrap.default.svelte-1txqlrd.svelte-1txqlrd{top:0;right:0;bottom:0;left:0}.hide.svelte-1txqlrd.svelte-1txqlrd{opacity:0;pointer-events:none}.generating.svelte-1txqlrd.svelte-1txqlrd{animation:svelte-1txqlrd-pulse 2s cubic-bezier(.4,0,.6,1) infinite;border:2px solid var(--color-accent);background:transparent}.translucent.svelte-1txqlrd.svelte-1txqlrd{background:none}@keyframes svelte-1txqlrd-pulse{0%,to{opacity:1}50%{opacity:.5}}.loading.svelte-1txqlrd.svelte-1txqlrd{z-index:var(--layer-2);color:var(--body-text-color)}.eta-bar.svelte-1txqlrd.svelte-1txqlrd{position:absolute;top:0;right:0;bottom:0;left:0;transform-origin:left;opacity:.8;z-index:var(--layer-1);transition:10ms;background:var(--background-fill-secondary)}.progress-bar-wrap.svelte-1txqlrd.svelte-1txqlrd{border:1px solid var(--border-color-primary);background:var(--background-fill-primary);width:55.5%;height:var(--size-4)}.progress-bar.svelte-1txqlrd.svelte-1txqlrd{transform-origin:left;background-color:var(--loader-color);width:var(--size-full);height:var(--size-full)}.progress-level.svelte-1txqlrd.svelte-1txqlrd{display:flex;flex-direction:column;align-items:center;gap:1;z-index:var(--layer-2);width:var(--size-full)}.progress-level-inner.svelte-1txqlrd.svelte-1txqlrd{margin:var(--size-2) auto;color:var(--body-text-color);font-size:var(--text-sm);font-family:var(--font-mono)}.meta-text.svelte-1txqlrd.svelte-1txqlrd{position:absolute;top:0;right:0;z-index:var(--layer-2);padding:var(--size-1) var(--size-2);font-size:var(--text-sm);font-family:var(--font-mono)}.meta-text-center.svelte-1txqlrd.svelte-1txqlrd{display:flex;position:absolute;top:0;right:0;justify-content:center;align-items:center;transform:translateY(var(--size-6));z-index:var(--layer-2);padding:var(--size-1) var(--size-2);font-size:var(--text-sm);font-family:var(--font-mono);text-align:center}.error.svelte-1txqlrd.svelte-1txqlrd{box-shadow:var(--shadow-drop);border:solid 1px var(--error-border-color);border-radius:var(--radius-full);background:var(--error-background-fill);padding-right:var(--size-4);padding-left:var(--size-4);color:var(--error-text-color);font-weight:var(--weight-semibold);font-size:var(--text-lg);line-height:var(--line-lg);font-family:var(--font)}.minimal.svelte-1txqlrd .progress-text.svelte-1txqlrd{background:var(--block-background-fill)}.border.svelte-1txqlrd.svelte-1txqlrd{border:1px solid var(--border-color-primary)}.dropdown-arrow.svelte-145leq6{fill:currentColor}.toast-body.svelte-solcu7{display:flex;position:relative;right:0;left:0;align-items:center;margin:var(--size-6) var(--size-4);margin:auto;border-radius:var(--container-radius);overflow:hidden;pointer-events:auto}.toast-body.error.svelte-solcu7{border:1px solid var(--color-red-700);background:var(--color-red-50)}.dark .toast-body.error.svelte-solcu7{border:1px solid var(--color-red-500);background-color:var(--color-grey-950)}.toast-body.warning.svelte-solcu7{border:1px solid var(--color-yellow-700);background:var(--color-yellow-50)}.dark .toast-body.warning.svelte-solcu7{border:1px solid var(--color-yellow-500);background-color:var(--color-grey-950)}.toast-body.info.svelte-solcu7{border:1px solid var(--color-grey-700);background:var(--color-grey-50)}.dark .toast-body.info.svelte-solcu7{border:1px solid var(--color-grey-500);background-color:var(--color-grey-950)}.toast-title.svelte-solcu7{display:flex;align-items:center;font-weight:var(--weight-bold);font-size:var(--text-lg);line-height:var(--line-sm);text-transform:capitalize}.toast-title.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-title.error.svelte-solcu7{color:var(--color-red-50)}.toast-title.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-title.warning.svelte-solcu7{color:var(--color-yellow-50)}.toast-title.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-title.info.svelte-solcu7{color:var(--color-grey-50)}.toast-close.svelte-solcu7{margin:0 var(--size-3);border-radius:var(--size-3);padding:0px var(--size-1-5);font-size:var(--size-5);line-height:var(--size-5)}.toast-close.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-close.error.svelte-solcu7{color:var(--color-red-500)}.toast-close.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-close.warning.svelte-solcu7{color:var(--color-yellow-500)}.toast-close.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-close.info.svelte-solcu7{color:var(--color-grey-500)}.toast-text.svelte-solcu7{font-size:var(--text-lg)}.toast-text.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-text.error.svelte-solcu7{color:var(--color-red-50)}.toast-text.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-text.warning.svelte-solcu7{color:var(--color-yellow-50)}.toast-text.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-text.info.svelte-solcu7{color:var(--color-grey-50)}.toast-details.svelte-solcu7{margin:var(--size-3) var(--size-3) var(--size-3) 0;width:100%}.toast-icon.svelte-solcu7{display:flex;position:absolute;position:relative;flex-shrink:0;justify-content:center;align-items:center;margin:var(--size-2);border-radius:var(--radius-full);padding:var(--size-1);padding-left:calc(var(--size-1) - 1px);width:35px;height:35px}.toast-icon.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-icon.error.svelte-solcu7{color:var(--color-red-500)}.toast-icon.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-icon.warning.svelte-solcu7{color:var(--color-yellow-500)}.toast-icon.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-icon.info.svelte-solcu7{color:var(--color-grey-500)}@keyframes svelte-solcu7-countdown{0%{transform:scaleX(1)}to{transform:scaleX(0)}}.timer.svelte-solcu7{position:absolute;bottom:0;left:0;transform-origin:0 0;animation:svelte-solcu7-countdown 10s linear forwards;width:100%;height:var(--size-1)}.timer.error.svelte-solcu7{background:var(--color-red-700)}.dark .timer.error.svelte-solcu7{background:var(--color-red-500)}.timer.warning.svelte-solcu7{background:var(--color-yellow-700)}.dark .timer.warning.svelte-solcu7{background:var(--color-yellow-500)}.timer.info.svelte-solcu7{background:var(--color-grey-700)}.dark .timer.info.svelte-solcu7{background:var(--color-grey-500)}.toast-wrap.svelte-gatr8h{display:flex;position:fixed;top:var(--size-4);right:var(--size-4);flex-direction:column;align-items:end;gap:var(--size-2);z-index:var(--layer-top);width:calc(100% - var(--size-8))}@media (--screen-sm){.toast-wrap.svelte-gatr8h{width:calc(var(--size-96) + var(--size-10))}}.block.svelte-1t38q2d{position:relative;margin:0;box-shadow:var(--block-shadow);border-width:var(--block-border-width);border-color:var(--block-border-color);border-radius:var(--block-radius);background:var(--block-background-fill);width:100%;line-height:var(--line-sm)}.block.border_focus.svelte-1t38q2d{border-color:var(--color-accent)}.padded.svelte-1t38q2d{padding:var(--block-padding)}.hidden.svelte-1t38q2d{display:none}.hide-container.svelte-1t38q2d{margin:0;box-shadow:none;--block-border-width:0;background:transparent;padding:0;overflow:visible}div.svelte-1hnfib2{margin-bottom:var(--spacing-lg);color:var(--block-info-text-color);font-weight:var(--block-info-text-weight);font-size:var(--block-info-text-size);line-height:var(--line-sm)}span.has-info.svelte-22c38v{margin-bottom:var(--spacing-xs)}span.svelte-22c38v:not(.has-info){margin-bottom:var(--spacing-lg)}span.svelte-22c38v{display:inline-block;position:relative;z-index:var(--layer-4);border:solid var(--block-title-border-width) var(--block-title-border-color);border-radius:var(--block-title-radius);background:var(--block-title-background-fill);padding:var(--block-title-padding);color:var(--block-title-text-color);font-weight:var(--block-title-text-weight);font-size:var(--block-title-text-size);line-height:var(--line-sm)}.hide.svelte-22c38v{margin:0;height:0}label.svelte-9gxdi0{display:inline-flex;align-items:center;z-index:var(--layer-2);box-shadow:var(--block-label-shadow);border:var(--block-label-border-width) solid var(--border-color-primary);border-top:none;border-left:none;border-radius:var(--block-label-radius);background:var(--block-label-background-fill);padding:var(--block-label-padding);pointer-events:none;color:var(--block-label-text-color);font-weight:var(--block-label-text-weight);font-size:var(--block-label-text-size);line-height:var(--line-sm)}.gr-group label.svelte-9gxdi0{border-top-left-radius:0}label.float.svelte-9gxdi0{position:absolute;top:var(--block-label-margin);left:var(--block-label-margin)}label.svelte-9gxdi0:not(.float){position:static;margin-top:var(--block-label-margin);margin-left:var(--block-label-margin)}.hide.svelte-9gxdi0{height:0}span.svelte-9gxdi0{opacity:.8;margin-right:var(--size-2);width:calc(var(--block-label-text-size) - 1px);height:calc(var(--block-label-text-size) - 1px)}.hide-label.svelte-9gxdi0{box-shadow:none;border-width:0;background:transparent;overflow:visible}button.svelte-lpi64a{display:flex;justify-content:center;align-items:center;gap:1px;z-index:var(--layer-2);border-radius:var(--radius-sm);color:var(--block-label-text-color);border:1px solid transparent}button[disabled].svelte-lpi64a{opacity:.5;box-shadow:none}button[disabled].svelte-lpi64a:hover{cursor:not-allowed}.padded.svelte-lpi64a{padding:2px;background:var(--bg-color);box-shadow:var(--shadow-drop);border:1px solid var(--button-secondary-border-color)}button.svelte-lpi64a:hover,button.highlight.svelte-lpi64a{cursor:pointer;color:var(--color-accent)}.padded.svelte-lpi64a:hover{border:2px solid var(--button-secondary-border-color-hover);padding:1px;color:var(--block-label-text-color)}span.svelte-lpi64a{padding:0 1px;font-size:10px}div.svelte-lpi64a{padding:2px;display:flex;align-items:flex-end}.small.svelte-lpi64a{width:14px;height:14px}.large.svelte-lpi64a{width:22px;height:22px}.pending.svelte-lpi64a{animation:svelte-lpi64a-flash .5s infinite}@keyframes svelte-lpi64a-flash{0%{opacity:.5}50%{opacity:1}to{opacity:.5}}.transparent.svelte-lpi64a{background:transparent;border:none;box-shadow:none}.empty.svelte-3w3rth{display:flex;justify-content:center;align-items:center;margin-top:calc(0px - var(--size-6));height:var(--size-full)}.icon.svelte-3w3rth{opacity:.5;height:var(--size-5);color:var(--body-text-color)}.small.svelte-3w3rth{min-height:calc(var(--size-32) - 20px)}.large.svelte-3w3rth{min-height:calc(var(--size-64) - 20px)}.unpadded_box.svelte-3w3rth{margin-top:0}.small_parent.svelte-3w3rth{min-height:100%!important}.wrap.svelte-kzcjhc{display:flex;flex-direction:column;justify-content:center;align-items:center;min-height:var(--size-60);color:var(--block-label-text-color);line-height:var(--line-md);height:100%;padding-top:var(--size-3)}.or.svelte-kzcjhc{color:var(--body-text-color-subdued);display:flex}.icon-wrap.svelte-kzcjhc{width:30px;margin-bottom:var(--spacing-lg)}@media (--screen-md){.wrap.svelte-kzcjhc{font-size:var(--text-lg)}}.hovered.svelte-kzcjhc{color:var(--color-accent)}div.svelte-ipfyu7{border-top:1px solid transparent;display:flex;max-height:100%;justify-content:center;gap:var(--spacing-sm);height:auto;align-items:flex-end;padding-bottom:var(--spacing-xl);color:var(--block-label-text-color);flex-shrink:0;width:95%}.show_border.svelte-ipfyu7{border-top:1px solid 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components/iframe/backend/gradio_iframe/templates/example/index.js

@@ -0,0 +1,80 @@
+const {
+  SvelteComponent: c,
+  attr: u,
+  detach: r,
+  element: o,
+  init: d,
+  insert: g,
+  noop: _,
+  safe_not_equal: v,
+  toggle_class: s
+} = window.__gradio__svelte__internal;
+function y(n) {
+  let e;
+  return {
+    c() {
+      e = o("div"), u(e, "class", "prose svelte-180qqaf"), s(
+        e,
+        "table",
+        /*type*/
+        n[1] === "table"
+      ), s(
+        e,
+        "gallery",
+        /*type*/
+        n[1] === "gallery"
+      ), s(
+        e,
+        "selected",
+        /*selected*/
+        n[2]
+      );
+    },
+    m(l, t) {
+      g(l, e, t), e.innerHTML = /*value*/
+      n[0];
+    },
+    p(l, [t]) {
+      t & /*value*/
+      1 && (e.innerHTML = /*value*/
+      l[0]), t & /*type*/
+      2 && s(
+        e,
+        "table",
+        /*type*/
+        l[1] === "table"
+      ), t & /*type*/
+      2 && s(
+        e,
+        "gallery",
+        /*type*/
+        l[1] === "gallery"
+      ), t & /*selected*/
+      4 && s(
+        e,
+        "selected",
+        /*selected*/
+        l[2]
+      );
+    },
+    i: _,
+    o: _,
+    d(l) {
+      l && r(e);
+    }
+  };
+}
+function m(n, e, l) {
+  let { value: t } = e, { type: i } = e, { selected: f = !1 } = e;
+  return n.$$set = (a) => {
+    "value" in a && l(0, t = a.value), "type" in a && l(1, i = a.type), "selected" in a && l(2, f = a.selected);
+  }, [t, i, f];
+}
+class b extends c {
+  constructor(e) {
+    super(), d(this, e, m, y, v, { value: 0, type: 1, selected: 2 });
+  }
+}
+export {
+  b as default
+};

components/iframe/backend/gradio_iframe/templates/example/style.css

@@ -0,0 +1 @@
+.gallery.svelte-180qqaf{padding:var(--size-2)}

components/iframe/demo/app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+from gradio_iframe import iframe
+
+
+example = iframe().example_inputs()
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        iframe(label="Blank")  # blank component
+        iframe(value=example, label="Populated")  # populated component
+
+
+demo.launch()

components/iframe/frontend/Example.svelte

@@ -0,0 +1,20 @@
+<script lang="ts">
+	export let value: string;
+	export let type: "gallery" | "table";
+	export let selected = false;
+</script>
+
+<div
+	class:table={type === "table"}
+	class:gallery={type === "gallery"}
+	class:selected
+	class="prose"
+>
+	{@html value}
+</div>
+
+<style>
+	.gallery {
+		padding: var(--size-2);
+	}
+</style>

components/iframe/frontend/Index.svelte

@@ -0,0 +1,47 @@
+<script lang="ts">
+	import type { Gradio } from "@gradio/utils";
+	import HTML from "./shared/HTML.svelte";
+	import { StatusTracker } from "@gradio/statustracker";
+	import type { LoadingStatus } from "@gradio/statustracker";
+	import { Block } from "@gradio/atoms";
+
+	export let label: string;
+	export let elem_id = "";
+	export let elem_classes: string[] = [];
+	export let visible = true;
+	export let value = "";
+	export let loading_status: LoadingStatus;
+	export let gradio: Gradio<{
+		change: never;
+	}>;
+
+	$: label, gradio.dispatch("change");
+</script>
+
+<Block {visible} {elem_id} {elem_classes} container={false}>
+	<StatusTracker
+		autoscroll={gradio.autoscroll}
+		i18n={gradio.i18n}
+		{...loading_status}
+		variant="center"
+	/>
+	<div class:pending={loading_status?.status === "pending"}>
+		<HTML
+			min_height={loading_status && loading_status?.status !== "complete"}
+			{value}
+			{elem_classes}
+			{visible}
+			on:change={() => gradio.dispatch("change")}
+		/>
+	</div>
+</Block>
+
+<style>
+	div {
+		transition: 150ms;
+	}
+
+	.pending {
+		opacity: 0.2;
+	}
+</style>

components/iframe/frontend/package-lock.json

@@ -0,0 +1,933 @@
+{
+  "name": "gradio_iframe",
+  "version": "0.1.3",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "gradio_iframe",
+      "version": "0.1.3",
+      "license": "ISC",
+      "dependencies": {
+        "@gradio/atoms": "0.3.0",
+        "@gradio/statustracker": "0.4.0",
+        "@gradio/utils": "0.2.0"
+      }
+    },
+    "node_modules/@ampproject/remapping": {
+      "version": "2.2.1",
+      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz",
+      "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==",
+      "peer": true,
+      "dependencies": {
+        "@jridgewell/gen-mapping": "^0.3.0",
+        "@jridgewell/trace-mapping": "^0.3.9"
+      },
+      "engines": {
+        "node": ">=6.0.0"
+      }
+    },
+    "node_modules/@esbuild/aix-ppc64": {
+      "version": "0.19.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.19.10.tgz",
+      "integrity": "sha512-Q+mk96KJ+FZ30h9fsJl+67IjNJm3x2eX+GBWGmocAKgzp27cowCOOqSdscX80s0SpdFXZnIv/+1xD1EctFx96Q==",
+      "cpu": [
+        "ppc64"
+      ],
+      "optional": true,
+      "os": [
+        "aix"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@esbuild/android-arm": {
+      "version": "0.19.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.19.10.tgz",
+      "integrity": "sha512-7W0bK7qfkw1fc2viBfrtAEkDKHatYfHzr/jKAHNr9BvkYDXPcC6bodtm8AyLJNNuqClLNaeTLuwURt4PRT9d7w==",
+      "cpu": [
+        "arm"
+      ],
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@esbuild/android-arm64": {
+      "version": "0.19.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.19.10.tgz",
+      "integrity": "sha512-1X4CClKhDgC3by7k8aOWZeBXQX8dHT5QAMCAQDArCLaYfkppoARvh0fit3X2Qs+MXDngKcHv6XXyQCpY0hkK1Q==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@esbuild/android-x64": {
+      "version": "0.19.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.19.10.tgz",
+      "integrity": "sha512-O/nO/g+/7NlitUxETkUv/IvADKuZXyH4BHf/g/7laqKC4i/7whLpB0gvpPc2zpF0q9Q6FXS3TS75QHac9MvVWw==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@esbuild/darwin-arm64": {
+      "version": "0.19.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.19.10.tgz",
+      "integrity": "sha512-YSRRs2zOpwypck+6GL3wGXx2gNP7DXzetmo5pHXLrY/VIMsS59yKfjPizQ4lLt5vEI80M41gjm2BxrGZ5U+VMA==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@esbuild/darwin-x64": {
+      "version": "0.19.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.19.10.tgz",
+      "integrity": "sha512-alfGtT+IEICKtNE54hbvPg13xGBe4GkVxyGWtzr+yHO7HIiRJppPDhOKq3zstTcVf8msXb/t4eavW3jCDpMSmA==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@esbuild/freebsd-arm64": {
+      "version": "0.19.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.19.10.tgz",
+      "integrity": "sha512-dMtk1wc7FSH8CCkE854GyGuNKCewlh+7heYP/sclpOG6Cectzk14qdUIY5CrKDbkA/OczXq9WesqnPl09mj5dg==",
+      "cpu": [
+        "arm64"
+      ],
+      "optional": true,
+      "os": [
+        "freebsd"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@esbuild/freebsd-x64": {
+      "version": "0.19.10",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.19.10.tgz",
+      "integrity": "sha512-G5UPPspryHu1T3uX8WiOEUa6q6OlQh6gNl4CO4Iw5PS+Kg5bVggVFehzXBJY6X6RSOMS8iXDv2330VzaObm4Ag==",
+      "cpu": [
+        "x64"
+      ],
+      "optional": true,
+      "os": [
+        "freebsd"
+      ],
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@esbuild/linux-arm": {
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+}

components/iframe/frontend/package.json

@@ -0,0 +1,20 @@
+{
+  "name": "gradio_iframe",
+  "version": "0.1.3",
+  "description": "Gradio UI packages",
+  "type": "module",
+  "author": "",
+  "license": "ISC",
+  "private": false,
+  "main_changeset": true,
+  "dependencies": {
+    "@gradio/atoms": "0.3.0",
+    "@gradio/statustracker": "0.4.0",
+    "@gradio/utils": "0.2.0"
+  },
+  "exports": {
+    ".": "./Index.svelte",
+    "./example": "./Example.svelte",
+    "./package.json": "./package.json"
+  }
+}

components/iframe/frontend/shared/HTML.svelte

@@ -0,0 +1,28 @@
+<script lang="ts">
+	import { createEventDispatcher } from "svelte";
+	export let elem_classes: string[] = [];
+	export let value: string;
+	export let visible = true;
+	export let min_height = false;
+
+	const dispatch = createEventDispatcher<{ change: undefined }>();
+
+	$: value, dispatch("change");
+</script>
+
+<div
+	class="prose {elem_classes.join(' ')}"
+	class:min={min_height}
+	class:hide={!visible}
+>
+	{@html value}
+</div>
+
+<style>
+	.min {
+		min-height: var(--size-24);
+	}
+	.hide {
+		display: none;
+	}
+</style>

components/iframe/pyproject.toml

@@ -0,0 +1,42 @@
+[build-system]
+requires = [
+  "hatchling",
+  "hatch-requirements-txt",
+  "hatch-fancy-pypi-readme>=22.5.0",
+]
+build-backend = "hatchling.build"
+
+[project]
+name = "gradio_iframe"
+version = "0.0.1"
+description = "iFrame components that wraps html and js code to make them interactive."
+readme = "README.md"
+license = "MIT"
+requires-python = ">=3.8"
+authors = [{ name = "YOUR NAME", email = "YOUREMAIL@domain.com" }]
+keywords = ["gradio-custom-component", "gradio-template-HTML", "HTML", "iFrame"]
+# Add dependencies here
+dependencies = ["gradio>=4.0,<5.0"]
+classifiers = [
+  'Development Status :: 3 - Alpha',
+  'License :: OSI Approved :: Apache Software License',
+  'Operating System :: OS Independent',
+  'Programming Language :: Python :: 3',
+  'Programming Language :: Python :: 3 :: Only',
+  'Programming Language :: Python :: 3.8',
+  'Programming Language :: Python :: 3.9',
+  'Programming Language :: Python :: 3.10',
+  'Programming Language :: Python :: 3.11',
+  'Topic :: Scientific/Engineering',
+  'Topic :: Scientific/Engineering :: Artificial Intelligence',
+  'Topic :: Scientific/Engineering :: Visualization',
+]
+
+[project.optional-dependencies]
+dev = ["build", "twine"]
+
+[tool.hatch.build]
+artifacts = ["/backend/gradio_iframe/templates", "*.pyi", "backend/gradio_iframe/templates"]
+
+[tool.hatch.build.targets.wheel]
+packages = ["/backend/gradio_iframe"]

entrypoint.sh

@@ -1,4 +1,5 @@
 #!/bin/bash
+# entrypoint script for the docker container to run at start
 
 # installing all the dependencies
 pip install --no-cache-dir --upgrade -r requirements.txt

explanation/__init__.py

@@ -0,0 +1,2 @@
+# empty init file for the package
+# for fastapi to recognize the module

explanation/interpret.py

@@ -1,40 +1,85 @@
-"""
+# interpret module that implements the interpretability method
+# external imports
 import seaborn as sns
 import matplotlib.pyplot as plt
+import numpy as np
+import shap
 
 
-def interpret_plot(shap_values):
+# main explain function that returns a chat with explanations
+def chat_explained(model, prompt):
+    # create the shap explainer
+    shap_explainer = shap.PartitionExplainer(model.MODEL, model.TOKENIZER)
+    # get the shap values for the prompt
+    shap_values = shap_explainer(prompt)
+
+    # create the explanation graphic and plot
+    graphic = create_graphic(shap_values)
+    plot = create_plot(shap_values)
+
+    # create the response text
+    response_text = format_output_text(shap_values.output_names)
+    return response_text, graphic, plot
+
+
+# output text formatting function that turns the list into a string
+def format_output_text(output):
+    # start string with first list item
+    output_str = output[0]
+    # add all other list items with a space in between
+    for txt in output[1:]:
+        output_str += " " + txt
+    # return the output string
+    return output_str
+
+
+# graphic plotting function that creates a html graphic (as string) for the explanation
+def create_graphic(shap_values):
+    # create the html graphic using shap text plot function
+    graphic_html = shap.plots.text(shap_values, display=False)
+
+    # return the html graphic as string
+    return str(graphic_html)
+
+
+# plotting function that creates a heatmap style explanation plot
+def create_plot(shap_values):
+    # setup color palette for heatmap
+    color_palette = sns.color_palette("coolwarm", as_cmap=True)
+
+    # extract values, text from shap_values
     values = shap_values[0]
     input_text = shap_values.data[0]
     output_text = shap_values.output_names
 
     # Set the seaborn style for better aesthetics
-    sns.set(style="whitegrid")
+    sns.set(style="darkgrid")
     plt.figure(figsize=(20, 10))
 
-    # Create the heatmap with horizontal shape
+    # create the heatmap with horizontal shape
     sns.heatmap(
-        shap_values_large,
+        values,
         cmap=color_palette,
         center=0,
         annot=False,
         cbar_kws={"fraction": 0.02},
     )
 
-    # Adjust the labels for the larger set
+    # adjusting labels and ticks
     plt.xticks(
-        ticks=np.arange(len(output_text_large)) + 0.5,
-        labels=output_text_large,
+        ticks=np.arange(len(output_text)) + 0.5,
+        labels=output_text,
         rotation=90,
     )
     plt.yticks(
-        ticks=np.arange(len(input_text_large)) + 0.5,
-        labels=input_text_large,
+        ticks=np.arange(len(input_text)) + 0.5,
+        labels=input_text,
         rotation=0,
     )
 
+    # set axis labels
     plt.xlabel("Output Tokens")
     plt.ylabel("Input Tokens")
+    plt.title("Token-wise SHAP Values")
 
     return plt
-"""

explanation/visualize.py

@@ -0,0 +1,21 @@
+# visualization module that creates an attention visualization using BERTViz
+
+# external imports
+from bertviz import head_view
+
+
+# plotting function that plots the attention values in a heatmap
+def chat_explained(model, prompt):
+    inputs = model.TOKENIZER(prompt, return_tensors="pt")
+    out = model.MODEL(**inputs, output_attentions=True)
+
+    attention = out["attentions"]  # Retrieve attention from model outputs
+    tokens = model.TOKENIZER.convert_ids_to_tokens(
+        inputs["input_ids"][0]
+    )  # Convert input ids to token strings
+
+    graphic = head_view(attention, tokens)
+    response_text = out[0]
+    plot = None
+
+    return response_text, graphic, plot

main.py

@@ -10,13 +10,12 @@ from backend.controller import interference
 # Global Variables
 app = FastAPI()
 
-# different functions to provide frontend abilities
-
 
+# different functions to provide frontend abilities
 # function to load markdown files
 def load_md(path):
-    # credit: official python-markdown documentation
-    # (https://python-markdown.github.io/reference/)
+    # CREDIT: official python-markdown documentation
+    ## see https://python-markdown.github.io/reference/)
     with open(path, "r", encoding="utf-8") as file:
         text = file.read()
     return markdown.markdown(text)
@@ -24,11 +23,13 @@ def load_md(path):
 
 # function to display the system prompt info
 def system_prompt_info(sys_prompt_txt):
+    # display the system prompt using the Gradio Info component
     gr.Info(f"The system prompt was set to:\n {sys_prompt_txt}")
 
 
 # function to display the xai info
 def xai_info(xai_radio):
+    # display the xai method using the Gradio Info component
     if xai_radio != "None":
         gr.Info(f"The XAI was set to:\n {xai_radio}")
     else:
@@ -37,6 +38,7 @@ def xai_info(xai_radio):
 
 # function to display the model info
 def model_info(model_radio):
+    # display the model using the Gradio Info component
     gr.Info(f"The model was set to:\n {model_radio}")
 
 
@@ -45,6 +47,7 @@ def model_info(model_radio):
 with gr.Blocks() as ui:
     # header row with markdown based text
     with gr.Row():
+        # markdown component to display the header
         gr.Markdown(
             """
             # Thesis Demo - AI Chat Application with XAI
@@ -54,6 +57,7 @@ with gr.Blocks() as ui:
     # ChatBot tab used to chat with the AI chatbot
     with gr.Tab("AI ChatBot"):
         with gr.Row():
+            # markdown component to display the header of the current tab
             gr.Markdown(
                 """
                 ### ChatBot Demo
@@ -63,10 +67,11 @@ with gr.Blocks() as ui:
                 the system prompt and the XAI method.
                 """
             )
-        # row with textbox to enter the system prompt, which is handed over to
-        # the model at every turn
+        # row with columns for the different settings
         with gr.Row(equal_height=True):
+            # column that takes up 3/5 of the row
             with gr.Column(scale=3):
+                # textbox to enter the system prompt
                 system_prompt = gr.Textbox(
                     label="System Prompt",
                     info="Set the models system prompt, dictating how it answers.",
@@ -76,8 +81,9 @@ with gr.Blocks() as ui:
                     ),
                 )
             with gr.Column(scale=1):
+                # checkbox group to select the model
                 model = gr.Radio(
-                    ["Mistral", "Llama 2"],
+                    ["Mistral", "GODEL"],
                     label="Model Selection",
                     info="Select Model to use for chat.",
                     value="Mistral",
@@ -85,6 +91,7 @@ with gr.Blocks() as ui:
                     show_label=True,
                 )
             with gr.Column(scale=1):
+                # checkbox group to select the xai method
                 xai = gr.Radio(
                     ["None", "SHAP", "Visualizer"],
                     label="XAI Settings",
@@ -99,9 +106,10 @@ with gr.Blocks() as ui:
             model.input(model_info, [model])
             xai.input(xai_info, [xai])
 
-        # row with chatbot ui displaying "conversation" with the model (see
-        # documentation: https://www.gradio.app/docs/chatbot)
+        # row with chatbot ui displaying "conversation" with the model
         with gr.Row():
+            # out of the  box chatbot component
+            # see documentation: https://www.gradio.app/docs/chatbot
             chatbot = gr.Chatbot(
                 layout="panel",
                 show_copy_button=True,
@@ -109,50 +117,86 @@ with gr.Blocks() as ui:
             )
         # row with input textbox
         with gr.Row():
+            # textbox to enter the user prompt
             user_prompt = gr.Textbox(label="Input Message")
         # row with columns for buttons to submit and clear content
         with gr.Row():
             with gr.Column(scale=1):
-                # default clear button which clearn the given components (see
+                # out of the box clear button which clearn the given components (see
                 # documentation: https://www.gradio.app/docs/clearbutton)
                 clear_btn = gr.ClearButton([user_prompt, chatbot])
             with gr.Column(scale=1):
                 submit_btn = gr.Button("Submit", variant="primary")
-        # function to trigger the model
-        # when button or the textbox submit function is used.
-        # hands over the information needed for the chat
-        # and information needed to call model and xai function
-        # returns prompt, history and xai
-        submit_btn.click(
-            interference,
-            [user_prompt, chatbot, system_prompt, model, xai],
-            [user_prompt, chatbot],
-        )
-        user_prompt.submit(
-            interference,
-            [user_prompt, chatbot, system_prompt, model, xai],
-            [user_prompt, chatbot],
-        )
 
     # explanations tab used to provide explanations for a specific conversation
     with gr.Tab("Explanations"):
+        # row with markdown component to display the header of the current tab
         with gr.Row():
             gr.Markdown(
                 """
                 ### Get Explanations for Conversations
                 Using your selected XAI method, you can get explanations for
                 the conversation you had with the AI ChatBot. The explanations are
-                based on the last message you sent to the AI ChatBot.
+                based on the last message you sent to the AI ChatBot (see text)
                 """
             )
+        # row that displays the settings used to create the current model output
+        ## each textbox statically displays the current values
+        with gr.Row():
+            with gr.Column():
+                gr.Textbox(
+                    value=xai,
+                    label="Used XAI Variant",
+                    show_label=True,
+                    interactive=True,
+                )
+            with gr.Column():
+                gr.Textbox(
+                    value=model, label="Used Model", show_label=True, interactive=True
+                )
+            with gr.Column():
+                gr.Textbox(
+                    value=system_prompt,
+                    label="Used System Prompt",
+                    show_label=True,
+                    interactive=True,
+                )
+        # row that displays the generated explanation of the model (if applicable)
         with gr.Row():
-            gr.HTML(load_md("public/explanations.md"))
+            # wraps the explanation html in an iframe to display it
+            xai_interactive = gr.HTML(
+                label="Interactive Explanation",
+                show_label=True,
+                value="<div><h1>No Graphic to Display</h1></div>",
+            )
+        # row and accordion to display an explanation plot (if applicable)
         with gr.Row():
-            with gr.Accordion("Full Size Plot of All SHAP Values", open=False):
-                gr.Plot(label="SHAP Values Plot")
+            with gr.Accordion("Token Explanation Plot", open=False):
+                # plot component that takes a matplotlib figure as input
+                xai_plot = gr.Plot(
+                    label="Token Level Explanation",
+                    show_label=True,
+                    every=5,
+                )
 
-    # final row to show legal information - credits, data protection and link
-    # to the LICENSE on GitHub
+    # functions to trigger the controller
+    ## takes information for the chat and the model, xai selection
+    ## returns prompt, history and xai data
+    ## see backend/controller.py for more information
+    submit_btn.click(
+        interference,
+        [user_prompt, chatbot, system_prompt, model, xai],
+        [user_prompt, chatbot, xai_interactive, xai_plot],
+    )
+    # function triggered by the enter key
+    user_prompt.submit(
+        interference,
+        [user_prompt, chatbot, system_prompt, model, xai],
+        [user_prompt, chatbot, xai_interactive, xai_plot],
+    )
+
+    # final row to show legal information
+    ## - credits, data protection and link to the License
     with gr.Row():
         with gr.Accordion("Credits, Data Protection and License", open=False):
             gr.Markdown(value=load_md("public/credits_dataprotection_license.md"))
@@ -164,4 +208,6 @@ app = gr.mount_gradio_app(app, ui, path="/")
 if __name__ == "__main__":
     from uvicorn import run
 
+    # run the application on port 8080 in reload mode
+    ## for local development, uses Docker for Prod deployment
     run("main:app", port=8080, reload=True)

model/__init__.py

@@ -0,0 +1,2 @@
+# empty init file for the package
+# for fastapi to recognize the module

model/godel.py

@@ -0,0 +1,38 @@
+# GODEL model module for chat interaction and model instance control
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+# model and tokenizer instance
+TOKENIZER = AutoTokenizer.from_pretrained("microsoft/GODEL-v1_1-large-seq2seq")
+MODEL = AutoModelForSeq2SeqLM.from_pretrained("microsoft/GODEL-v1_1-large-seq2seq")
+GODEL_CONFIG = {"max_new_tokens": 50, "min_length": 8, "top_p": 0.9, "do_sample": True}
+
+
+# formatting class to formatting input for the model
+# CREDIT: Adapted from official interference example on Huggingface
+## see https://huggingface.co/microsoft/GODEL-v1_1-large-seq2seq
+def format_prompt(message: str, history: list, system_prompt: str, knowledge: str = ""):
+    prompt = ""
+
+    # adds knowledge text if not empty
+    if knowledge != "":
+        knowledge = "[KNOWLEDGE] " + knowledge
+
+    history.append([message])
+    for user_prompt, bot_response in history:
+        prompt += f"EOS {user_prompt} EOS {bot_response}"
+
+    prompt = f"{system_prompt} [CONTEXT] {prompt} {knowledge}"
+
+    # returns the full combined prompt for the model
+    return prompt
+
+
+# response class calling the model and returning the model output message
+# CREDIT: Copied from official interference example on Huggingface
+## see https://huggingface.co/microsoft/GODEL-v1_1-large-seq2seq
+def respond(prompt):
+    input_ids = TOKENIZER(f"{prompt}", return_tensors="pt").input_ids
+    outputs = MODEL.generate(input_ids, **GODEL_CONFIG)
+    output = TOKENIZER.decode(outputs[0], skip_special_tokens=True)
+
+    return output

model/llama2.py

@@ -1,4 +0,0 @@
-TEMPERATURE = 0.7
-MAX_NEW_TOKENS = 100
-TOP_P = 0.95
-REPETITION_PENALTY = 1.1

model/mistral.py

@@ -1,78 +1,71 @@
-import os
-from huggingface_hub import InferenceClient
-
-
-# huggingface token used to load closed off models
-token = os.environ.get("HGFTOKEN")
-
-# interference client created from mistral 7b instruction fine tuned model
-# credit: copied 1:1 from Hugging Face, Inc/ Omar Sanseviero (see
-# https://huggingface.co/spaces/osanseviero/mistral-super-fast/)
-interference = InferenceClient("mistralai/Mistral-7B-Instruct-v0.1")
-
-TEMPERATURE = 0.7
-MAX_NEW_TOKENS = 100
-TOP_P = 0.95
-REPETITION_PENALTY = 1.1
-
-
-# chat function - basically the main function calling other functions and
-# returning a response to showcase in chatbot ui
-def chat(prompt, history):
-    # creating formatted prompt and calling for an answer from the model
-    formatted_prompt = format_prompt(prompt, history)
-    answer = respond(formatted_prompt)
-
-    # updating the chat history with the new answer
-    history.append((prompt, answer))
-
-    # returning the chat history to be displayed in the chatbot ui
-    return "", history
-
-
-# function to format prompt for the text generation model
-# credit: copied 1:1 from Hugging Face, Inc/ Omar Sanseviero (see
-# https://huggingface.co/spaces/osanseviero/mistral-super-fast/)
-# TODO: Setup to Use System Prompt
-def format_prompt(message, history):
-    prompt = "<s>"
-
-    # labeling each message in the history as bot or user
-    for user_prompt, bot_response in history:
-        prompt += f"[INST] {user_prompt} [/INST]"
-        prompt += f" {bot_response}</s> "
-    prompt += f"[INST] {message} [/INST]"
+# Mistral 7B model module for chat interaction and model instance control
+
+# external imports
+from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
+import torch
+import gradio as gr
+
+# global variables for model and tokenizer, config
+MODEL = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2")
+TOKENIZER = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
+MISTRAL_CONFIG = GenerationConfig.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
+
+MISTRAL_CONFIG.update(
+    **{
+        "temperature": 0.7,
+        "max_new_tokens": 50,
+        "top_p": 0.9,
+        "repetition_penalty": 1.2,
+        "do_sample": True,
+        "seed": 42,
+    }
+)
+
+
+# function to format the prompt to include chat history, message
+# CREDIT: adapted from Venkata Bhanu Teja Pallakonda in Huggingface discussions
+## see https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1/discussions/
+
+
+def format_prompt(message: str, history: list, system_prompt: str, knowledge: str = ""):
+    prompt = ""
+    if knowledge != "":
+        gr.Warning(
+            """Mistral does not support
+            additionally knowledge!"""
+        )
+
+    # if no history, use system prompt and example message
+    if len(history) == 0:
+        prompt = f"""<s>[INST] {system_prompt} [/INST] How can I help you today? </s>
+        [INST] {message} [/INST]"""
+    else:
+        # takes the very first exchange and the system prompt as base
+        for user_prompt, bot_response in history[0]:
+            prompt = (
+                f"<s>[INST] {system_prompt} {user_prompt} [/INST] {bot_response}</s>"
+            )
+
+        # takes all the following conversations and adds them as context
+        prompt += "".join(
+            f"[INST] {user_prompt} [/INST] {bot_response}</s>"
+            for user_prompt, bot_response in history[1:]
+        )
     return prompt
 
 
-# function to get the response
-# credit: minimally changed from Hugging Face, Inc/ Omar Sanseviero (see
-# https://huggingface.co/spaces/osanseviero/mistral-super-fast/)
-def respond(formatted_prompt):
-    global TEMPERATURE, TOP_P
-
-    # setting model temperature and
-    TEMPERATURE = float(TEMPERATURE)
-    TEMPERATURE = max(TEMPERATURE, 1e-2)
+# generation class returning the model response based on the input
+# CREDIT: adapted from official Mistral Ai 7B Instruct documentation on Huggingface
+## see https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1
+def respond(prompt):
+    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-    TOP_P = float(TOP_P)
-
-    # creating model arguments/settings
-    generate_kwargs = {
-        "temperature": TEMPERATURE,
-        "max_new_tokens": MAX_NEW_TOKENS,
-        "top_p": TOP_P,
-        "repetition_penalty": REPETITION_PENALTY,
-        "do_sample": True,
-        "seed": 42,
-    }
+    # tokenizing inputs and configuring model
+    input_ids = TOKENIZER(f"{prompt}", return_tensors="pt")
+    model_input = input_ids.to(device)
+    MODEL.to(device)
 
-    # calling for model output and returning it
-    output = interference.text_generation(
-        formatted_prompt,
-        **generate_kwargs,
-        stream=False,
-        details=True,
-        return_full_text=False,
-    ).generated_text
-    return output
+    # generating text with tokenized input, returning output
+    output_ids = MODEL.generate(model_input, generation_config=MISTRAL_CONFIG)
+    output_text = TOKENIZER.batch_decode(output_ids)
+    return output_text[0]

pyproject.toml

@@ -13,6 +13,7 @@ exclude = '''
   | buck-out
   | build
   | dist
+  | components
 )/
 '''
 
@@ -53,3 +54,6 @@ disable = [
 
 [tool.pylint.format]
 max-line-length = "88"
+
+[tool.pylint.MASTER]
+ignore = "components"

requirements.txt

@@ -1,7 +1,8 @@
 gradio~=4.7.1
 transformers~=4.35.2
 torch~=2.1.1
-shap~=0.43.0
+shap~=0.44.0
+bertviz~=1.4.0
 accelerate~=0.24.1
 markdown~=3.5.1
 huggingface_hub~=0.19.4
@@ -10,4 +11,8 @@ uvicorn~=0.24.0
 tinydb~=4.8.0
 black~=23.12.0
 pylint~=3.0.0
+seaborn~=0.13.0
+numpy
+matplotlib
 pre-commit
+#./components/iframe/dist/gradio_iframe-0.0.1-py3-none-any.whl