Upload folder using huggingface_hub

Dockerfile

@@ -0,0 +1,16 @@
+
+FROM python:3.9
+
+WORKDIR /code
+
+COPY --link --chown=1000 . .
+
+RUN mkdir -p /tmp/cache/
+RUN chmod a+rwx -R /tmp/cache/
+ENV TRANSFORMERS_CACHE=/tmp/cache/
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+ENV PYTHONUNBUFFERED=1 	GRADIO_ALLOW_FLAGGING=never 	GRADIO_NUM_PORTS=1 	GRADIO_SERVER_NAME=0.0.0.0     GRADIO_SERVER_PORT=7860 	SYSTEM=spaces
+
+CMD ["python", "space.py"]

README.md

@@ -1,10 +1,17 @@
+
 ---
-title: Gradio Log
-emoji: 👀
-colorFrom: blue
-colorTo: purple
+tags: [gradio-custom-component,gradio-template-SimpleTextbox]
+title: gradio_log V0.0.1
+colorFrom: indigo
+colorTo: blue
 sdk: docker
 pinned: false
+license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# Name: gradio_log
+
+Description: Python library for easily interacting with trained machine learning models
+
+Install with: pip install gradio_log

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from gradio_log import Log
+
+
+with open("/tmp/test.log", "wb") as f:
+    # write some random log to f, with colored and uncolored text
+    f.write(b"[INFO] Everything is fine.\n")
+    f.write(b"\x1b[34m[DEBUG] Debugging information.\x1b[0m\n")
+    f.write(b"\x1b[32m[SUCCESS] Task completed successfully.\x1b[0m\n")
+    f.write(b"\x1b[33m[WARNING] Something is not right.\x1b[0m\n")
+    f.write(b"\x1b[31m[ERROR] Unexpected error occured.\x1b[0m\n")
+
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    with gr.Row():
+        with gr.Column(scale=1):
+            Log("/tmp/test.log")
+        with gr.Column(scale=1):
+            Log(
+                "/tmp/test.log",
+                dark=True,
+                tail=4,
+                label="dark mode, read from last 4 lines of log",
+            )
+
+
+if __name__ == "__main__":
+    demo.launch()

css.css

@@ -0,0 +1,157 @@
+html {
+	font-family: Inter;
+	font-size: 16px;
+	font-weight: 400;
+	line-height: 1.5;
+	-webkit-text-size-adjust: 100%;
+	background: #fff;
+	color: #323232;
+	-webkit-font-smoothing: antialiased;
+	-moz-osx-font-smoothing: grayscale;
+	text-rendering: optimizeLegibility;
+}
+
+:root {
+	--space: 1;
+	--vspace: calc(var(--space) * 1rem);
+	--vspace-0: calc(3 * var(--space) * 1rem);
+	--vspace-1: calc(2 * var(--space) * 1rem);
+	--vspace-2: calc(1.5 * var(--space) * 1rem);
+	--vspace-3: calc(0.5 * var(--space) * 1rem);
+}
+
+.app {
+	max-width: 748px !important;
+}
+
+.prose p {
+	margin: var(--vspace) 0;
+	line-height: var(--vspace * 2);
+	font-size: 1rem;
+}
+
+code {
+	font-family: "Inconsolata", sans-serif;
+	font-size: 16px;
+}
+
+h1,
+h1 code {
+	font-weight: 400;
+	line-height: calc(2.5 / var(--space) * var(--vspace));
+}
+
+h1 code {
+	background: none;
+	border: none;
+	letter-spacing: 0.05em;
+	padding-bottom: 5px;
+	position: relative;
+	padding: 0;
+}
+
+h2 {
+	margin: var(--vspace-1) 0 var(--vspace-2) 0;
+	line-height: 1em;
+}
+
+h3,
+h3 code {
+	margin: var(--vspace-1) 0 var(--vspace-2) 0;
+	line-height: 1em;
+}
+
+h4,
+h5,
+h6 {
+	margin: var(--vspace-3) 0 var(--vspace-3) 0;
+	line-height: var(--vspace);
+}
+
+.bigtitle,
+h1,
+h1 code {
+	font-size: calc(8px * 4.5);
+	word-break: break-word;
+}
+
+.title,
+h2,
+h2 code {
+	font-size: calc(8px * 3.375);
+	font-weight: lighter;
+	word-break: break-word;
+	border: none;
+	background: none;
+}
+
+.subheading1,
+h3,
+h3 code {
+	font-size: calc(8px * 1.8);
+	font-weight: 600;
+	border: none;
+	background: none;
+	letter-spacing: 0.1em;
+	text-transform: uppercase;
+}
+
+h2 code {
+	padding: 0;
+	position: relative;
+	letter-spacing: 0.05em;
+}
+
+blockquote {
+	font-size: calc(8px * 1.1667);
+	font-style: italic;
+	line-height: calc(1.1667 * var(--vspace));
+	margin: var(--vspace-2) var(--vspace-2);
+}
+
+.subheading2,
+h4 {
+	font-size: calc(8px * 1.4292);
+	text-transform: uppercase;
+	font-weight: 600;
+}
+
+.subheading3,
+h5 {
+	font-size: calc(8px * 1.2917);
+	line-height: calc(1.2917 * var(--vspace));
+
+	font-weight: lighter;
+	text-transform: uppercase;
+	letter-spacing: 0.15em;
+}
+
+h6 {
+	font-size: calc(8px * 1.1667);
+	font-size: 1.1667em;
+	font-weight: normal;
+	font-style: italic;
+	font-family: "le-monde-livre-classic-byol", serif !important;
+	letter-spacing: 0px !important;
+}
+
+#start .md > *:first-child {
+	margin-top: 0;
+}
+
+h2 + h3 {
+	margin-top: 0;
+}
+
+.md hr {
+	border: none;
+	border-top: 1px solid var(--block-border-color);
+	margin: var(--vspace-2) 0 var(--vspace-2) 0;
+}
+.prose ul {
+	margin: var(--vspace-2) 0 var(--vspace-1) 0;
+}
+
+.gap {
+	gap: 0;
+}

requirements.txt

@@ -0,0 +1 @@
+gradio_log==0.0.1

space.py

@@ -0,0 +1,150 @@
+
+import gradio as gr
+from app import demo as app
+import os
+
+_docs = {'Log': {'description': 'Create a log component which can continuously read from a log file and display the content in a container.', 'members': {'__init__': {'log_file': {'type': 'str', 'default': 'None', 'description': 'the log file path to read from.'}, 'tail': {'type': 'int', 'default': '100', 'description': 'from the end of the file, the number of lines to start read from.'}, 'dark': {'type': 'bool', 'default': 'False', 'description': 'if True, will render the component in dark mode.'}, 'label': {'type': 'str | None', 'default': 'None', 'description': 'The label for this component. Appears above the component and is also 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.'}, 'info': {'type': 'str | None', 'default': 'None', 'description': 'additional component description.'}, 'every': {'type': 'float', 'default': '0.3', 'description': 'New log pulling interval.'}, 'show_label': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will display label.'}, 'container': {'type': 'bool', 'default': 'True', 'description': 'If True, will place the component in a container - providing some extra padding around the border.'}, 'scale': {'type': 'int | None', 'default': 'None', 'description': 'relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.'}, 'min_width': {'type': 'int', 'default': '160', 'description': 'minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.'}, 'interactive': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will be rendered as an editable textbox; if False, editing will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.'}, 'visible': {'type': 'bool', 'default': 'True', 'description': 'If False, component will be hidden.'}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': 'An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.'}, 'elem_classes': {'type': 'list[str] | str | None', 'default': 'None', 'description': 'An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.'}, 'render': {'type': 'bool', 'default': 'True', 'description': '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.'}}, 'postprocess': {}, 'preprocess': {'return': {'type': 'typing.Any', 'description': "The preprocessed input data sent to the user's function in the backend."}, 'value': None}}, 'events': {'load': {'type': None, 'default': None, 'description': 'This listener is triggered when the Log initially loads in the browser.'}}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'Log': []}}}
+
+abs_path = os.path.join(os.path.dirname(__file__), "css.css")
+
+with gr.Blocks(
+    css=abs_path,
+    theme=gr.themes.Default(
+        font_mono=[
+            gr.themes.GoogleFont("Inconsolata"),
+            "monospace",
+        ],
+    ),
+) as demo:
+    gr.Markdown(
+"""
+# `gradio_log`
+
+<div style="display: flex; gap: 7px;">
+<img alt="Static Badge" src="https://img.shields.io/badge/version%20-%200.0.1%20-%20orange">  
+</div>
+
+Python library for easily interacting with trained machine learning models
+""", elem_classes=["md-custom"], header_links=True)
+    app.render()
+    gr.Markdown(
+"""
+## Installation
+
+```bash
+pip install gradio_log
+```
+
+## Usage
+
+```python
+import gradio as gr
+from gradio_log import Log
+
+
+with open("/tmp/test.log", "wb") as f:
+    # write some random log to f, with colored and uncolored text
+    f.write(b"[INFO] Everything is fine.\n")
+    f.write(b"\x1b[34m[DEBUG] Debugging information.\x1b[0m\n")
+    f.write(b"\x1b[32m[SUCCESS] Task completed successfully.\x1b[0m\n")
+    f.write(b"\x1b[33m[WARNING] Something is not right.\x1b[0m\n")
+    f.write(b"\x1b[31m[ERROR] Unexpected error occured.\x1b[0m\n")
+
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    with gr.Row():
+        with gr.Column(scale=1):
+            Log("/tmp/test.log")
+        with gr.Column(scale=1):
+            Log(
+                "/tmp/test.log",
+                dark=True,
+                tail=4,
+                label="dark mode, read from last 4 lines of log",
+            )
+
+
+if __name__ == "__main__":
+    demo.launch()
+
+```
+""", elem_classes=["md-custom"], header_links=True)
+
+
+    gr.Markdown("""
+## `Log`
+
+### Initialization
+""", elem_classes=["md-custom"], header_links=True)
+
+    gr.ParamViewer(value=_docs["Log"]["members"]["__init__"], linkify=[])
+
+
+    gr.Markdown("### Events")
+    gr.ParamViewer(value=_docs["Log"]["events"], linkify=['Event'])
+
+
+
+
+    gr.Markdown("""
+
+### User function
+
+The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).
+
+- When used as an Input, the component only impacts the input signature of the user function.
+- When used as an output, the component only impacts the return signature of the user function.
+
+The code snippet below is accurate in cases where the component is used as both an input and an output.
+
+- **As input:** Is passed, the preprocessed input data sent to the user's function in the backend.
+
+
+ ```python
+def predict(
+    value: typing.Any
+) -> Unknown:
+    return value
+```
+""", elem_classes=["md-custom", "Log-user-fn"], header_links=True)
+
+
+
+
+    demo.load(None, js=r"""function() {
+    const refs = {};
+    const user_fn_refs = {
+          Log: [], };
+    requestAnimationFrame(() => {
+
+        Object.entries(user_fn_refs).forEach(([key, refs]) => {
+            if (refs.length > 0) {
+                const el = document.querySelector(`.${key}-user-fn`);
+                if (!el) return;
+                refs.forEach(ref => {
+                    el.innerHTML = el.innerHTML.replace(
+                        new RegExp("\\b"+ref+"\\b", "g"),
+                        `<a href="#h-${ref.toLowerCase()}">${ref}</a>`
+                    );
+                })
+            }
+        })
+
+        Object.entries(refs).forEach(([key, refs]) => {
+            if (refs.length > 0) {
+                const el = document.querySelector(`.${key}`);
+                if (!el) return;
+                refs.forEach(ref => {
+                    el.innerHTML = el.innerHTML.replace(
+                        new RegExp("\\b"+ref+"\\b", "g"),
+                        `<a href="#h-${ref.toLowerCase()}">${ref}</a>`
+                    );
+                })
+            }
+        })
+    })
+}
+
+""")
+
+demo.launch()

src/.gitignore

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

src/README.md

@@ -0,0 +1,284 @@
+
+# `gradio_log`
+<img alt="Static Badge" src="https://img.shields.io/badge/version%20-%200.0.1%20-%20orange">  
+
+Python library for easily interacting with trained machine learning models
+
+## Installation
+
+```bash
+pip install gradio_log
+```
+
+## Usage
+
+```python
+import gradio as gr
+from gradio_log import Log
+
+
+with open("/tmp/test.log", "wb") as f:
+    # write some random log to f, with colored and uncolored text
+    f.write(b"[INFO] Everything is fine.\n")
+    f.write(b"\x1b[34m[DEBUG] Debugging information.\x1b[0m\n")
+    f.write(b"\x1b[32m[SUCCESS] Task completed successfully.\x1b[0m\n")
+    f.write(b"\x1b[33m[WARNING] Something is not right.\x1b[0m\n")
+    f.write(b"\x1b[31m[ERROR] Unexpected error occured.\x1b[0m\n")
+
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    with gr.Row():
+        with gr.Column(scale=1):
+            Log("/tmp/test.log")
+        with gr.Column(scale=1):
+            Log(
+                "/tmp/test.log",
+                dark=True,
+                tail=4,
+                label="dark mode, read from last 4 lines of log",
+            )
+
+
+if __name__ == "__main__":
+    demo.launch()
+
+```
+
+## `Log`
+
+### Initialization
+
+<table>
+<thead>
+<tr>
+<th align="left">name</th>
+<th align="left" style="width: 25%;">type</th>
+<th align="left">default</th>
+<th align="left">description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td align="left"><code>log_file</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+str
+```
+
+</td>
+<td align="left"><code>None</code></td>
+<td align="left">the log file path to read from.</td>
+</tr>
+
+<tr>
+<td align="left"><code>tail</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+int
+```
+
+</td>
+<td align="left"><code>100</code></td>
+<td align="left">from the end of the file, the number of lines to start read from.</td>
+</tr>
+
+<tr>
+<td align="left"><code>dark</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+bool
+```
+
+</td>
+<td align="left"><code>False</code></td>
+<td align="left">if True, will render the component in dark mode.</td>
+</tr>
+
+<tr>
+<td align="left"><code>label</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+str | None
+```
+
+</td>
+<td align="left"><code>None</code></td>
+<td align="left">The label for this component. Appears above the component and is also 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.</td>
+</tr>
+
+<tr>
+<td align="left"><code>info</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+str | None
+```
+
+</td>
+<td align="left"><code>None</code></td>
+<td align="left">additional component description.</td>
+</tr>
+
+<tr>
+<td align="left"><code>every</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+float
+```
+
+</td>
+<td align="left"><code>0.3</code></td>
+<td align="left">New log pulling interval.</td>
+</tr>
+
+<tr>
+<td align="left"><code>show_label</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+bool | None
+```
+
+</td>
+<td align="left"><code>None</code></td>
+<td align="left">if True, will display label.</td>
+</tr>
+
+<tr>
+<td align="left"><code>container</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+bool
+```
+
+</td>
+<td align="left"><code>True</code></td>
+<td align="left">If True, will place the component in a container - providing some extra padding around the border.</td>
+</tr>
+
+<tr>
+<td align="left"><code>scale</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+int | None
+```
+
+</td>
+<td align="left"><code>None</code></td>
+<td align="left">relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.</td>
+</tr>
+
+<tr>
+<td align="left"><code>min_width</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+int
+```
+
+</td>
+<td align="left"><code>160</code></td>
+<td align="left">minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.</td>
+</tr>
+
+<tr>
+<td align="left"><code>interactive</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+bool | None
+```
+
+</td>
+<td align="left"><code>None</code></td>
+<td align="left">if True, will be rendered as an editable textbox; if False, editing will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.</td>
+</tr>
+
+<tr>
+<td align="left"><code>visible</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+bool
+```
+
+</td>
+<td align="left"><code>True</code></td>
+<td align="left">If False, component will be hidden.</td>
+</tr>
+
+<tr>
+<td align="left"><code>elem_id</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+str | None
+```
+
+</td>
+<td align="left"><code>None</code></td>
+<td align="left">An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.</td>
+</tr>
+
+<tr>
+<td align="left"><code>elem_classes</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+list[str] | str | None
+```
+
+</td>
+<td align="left"><code>None</code></td>
+<td align="left">An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.</td>
+</tr>
+
+<tr>
+<td align="left"><code>render</code></td>
+<td align="left" style="width: 25%;">
+
+```python
+bool
+```
+
+</td>
+<td align="left"><code>True</code></td>
+<td align="left">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.</td>
+</tr>
+</tbody></table>
+
+
+### Events
+
+| name | description |
+|:-----|:------------|
+| `load` | This listener is triggered when the Log initially loads in the browser. |
+
+
+
+### User function
+
+The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).
+
+- When used as an Input, the component only impacts the input signature of the user function.
+- When used as an output, the component only impacts the return signature of the user function.
+
+The code snippet below is accurate in cases where the component is used as both an input and an output.
+
+- **As output:** Is passed, the preprocessed input data sent to the user's function in the backend.
+
+
+ ```python
+ def predict(
+     value: typing.Any
+ ) -> Unknown:
+     return value
+ ```
+ 

src/backend/gradio_log/__init__.py

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

src/backend/gradio_log/log.py

@@ -0,0 +1,130 @@
+"""Log component of Gradio."""
+
+from __future__ import annotations
+
+import time
+from typing import Any
+
+from gradio.components.base import FormComponent
+from gradio.events import Events
+from gradio_client.documentation import document
+
+
+@document()
+class Log(FormComponent):
+    """
+    Create a log component which can continuously read from a log file and display the content in a container.
+    """
+
+    EVENTS = [Events.load]
+
+    def find_start_position(self) -> int:
+        self.io.seek(0, 2)
+        file_size = self.io.tell()
+        lines_found = 0
+        block_size = 1024
+        blocks = []
+
+        while self.io.tell() > 0 and lines_found <= self.tail:
+            self.io.seek(max(self.io.tell() - block_size, 0))
+            block = self.io.read(block_size)
+            blocks.append(block)
+            lines_found += block.count(b"\n")
+            self.io.seek(-len(block), 1)
+
+        all_read_bytes = b"".join(reversed(blocks))
+        lines = all_read_bytes.splitlines()
+
+        if self.tail >= len(lines):
+            return 0
+        last_lines = b"\n".join(lines[-self.tail :])
+        return file_size - len(last_lines) - 1
+
+    def read_to_end(self) -> bytes:
+        if self.current_pos is None:
+            return None
+        if self.stop_reading:
+            return None
+        self.io.seek(self.current_pos)
+        b = self.io.read().decode()
+        self.current_pos = self.io.tell()
+        return b
+
+    def __init__(
+        self,
+        log_file: str = None,
+        tail: int = 100,
+        dark: bool = False,
+        *,
+        label: str | None = None,
+        info: str | None = None,
+        every: float = 0.3,
+        show_label: bool | None = None,
+        container: bool = True,
+        scale: int | None = None,
+        min_width: int = 160,
+        interactive: bool | None = None,
+        visible: bool = True,
+        elem_id: str | None = None,
+        elem_classes: list[str] | str | None = None,
+        render: bool = True,
+    ):
+        """
+        Parameters:
+            log_file: the log file path to read from.
+            tail: from the end of the file, the number of lines to start read from.
+            dark: if True, will render the component in dark mode.
+            label: The label for this component. Appears above the component and is also 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.
+            info: additional component description.
+            every: New log pulling interval.
+            show_label: if True, will display label.
+            container: If True, will place the component in a container - providing some extra padding around the border.
+            scale: relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.
+            min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
+            interactive: if True, will be rendered as an editable textbox; if False, editing will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.
+            visible: If False, component will be hidden.
+            elem_id: An optional string that is assigned as the id of this component in the HTML 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 HTML 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.
+        """
+        self.log_file = log_file
+        self.tail = tail
+        self.dark = dark
+        self.current_pos = None
+        self.fd = None
+        self.stop_reading = False
+
+        super().__init__(
+            label=label,
+            info=info,
+            every=every,
+            show_label=show_label,
+            container=container,
+            scale=scale,
+            min_width=min_width,
+            interactive=interactive,
+            visible=visible,
+            elem_id=elem_id,
+            elem_classes=elem_classes,
+            render=render,
+            value=self.read_to_end,
+        )
+
+        self.load(self.handle_load_event)
+
+    def handle_load_event(self):
+        # prevent race condition
+        self.stop_reading = True
+        time.sleep(1)
+        self.io = open(self.log_file, "rb")
+        self.current_pos = self.find_start_position()
+        self.stop_reading = False
+
+    def api_info(self) -> dict[str, Any]:
+        return {"type": "string"}
+
+    def example_payload(self) -> Any:
+        return "Hello!!"
+
+    def example_value(self) -> Any:
+        return "Hello!!"

src/backend/gradio_log/log.pyi

@@ -0,0 +1,291 @@
+from __future__ import annotations
+
+from typing import Any, Callable
+
+from gradio.components.base import FormComponent
+from gradio.events import Events
+
+
+class log(FormComponent):
+
+    def find_start_position(self) -> int:
+        self.io.seek(0, 2)
+        file_size = self.io.tell()
+        lines_found = 0
+        block_size = 1024
+        blocks = []
+
+        while self.io.tell() > 0 and lines_found <= self.tail:
+            self.io.seek(max(self.io.tell() - block_size, 0))
+            block = self.io.read(min(block_size, self.io.tell()))
+            blocks.append(block)
+            lines_found += block.count(b"\n")
+            self.io.seek(-len(block), 1)
+
+        all_read_bytes = b"".join(reversed(blocks))
+        lines = all_read_bytes.splitlines()
+
+        if self.tail >= len(lines):
+            return 0
+        last_lines = b"\n".join(lines[-self.tail :])
+        return file_size - len(last_lines)
+
+    def read_to_end(self) -> bytes:
+        print(
+            "read to end called, current pos: ",
+            self.current_pos,
+            " self id: ",
+            id(self.io),
+        )
+        self.io.seek(self.current_pos)
+        b = self.io.read().decode()
+        self.current_pos = self.io.tell()
+        return b
+
+    def __init__(
+        self,
+        io: IO,
+        tail: int = 100,
+        *,
+        label: str | None = None,
+        info: str | None = None,
+        every: float | None = None,
+        show_label: bool | None = None,
+        container: bool = True,
+        scale: int | None = None,
+        min_width: int = 160,
+        interactive: bool | None = None,
+        visible: bool = True,
+        elem_id: str | None = None,
+        elem_classes: list[str] | str | None = None,
+        render: bool = True,
+    ):
+        """
+        Parameters:
+            io: the log io to read from
+            tail: from the end of the file, the number of lines to start read from
+            value: default text to provide in textarea. 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. Appears above the component and is also 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.
+            info: additional component description.
+            every: If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute.
+            show_label: if True, will display label.
+            container: If True, will place the component in a container - providing some extra padding around the border.
+            scale: relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.
+            min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
+            interactive: if True, will be rendered as an editable textbox; if False, editing will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.
+            visible: If False, component will be hidden.
+            elem_id: An optional string that is assigned as the id of this component in the HTML 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 HTML 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.
+        """
+        every = 1
+        self.io = io
+        self.tail = tail
+        self.current_pos = self.find_start_position()
+        value = self.read_to_end
+
+        super().__init__(
+            label=label,
+            info=info,
+            every=every,
+            show_label=show_label,
+            container=container,
+            scale=scale,
+            min_width=min_width,
+            interactive=interactive,
+            visible=visible,
+            elem_id=elem_id,
+            elem_classes=elem_classes,
+            render=render,
+            value=value,
+        )
+
+    def preprocess(self, payload: str | None) -> str | None:
+        """
+        Parameters:
+            payload: the text entered in the textarea.
+        Returns:
+            Passes text value as a {str} into the function.
+        """
+        return None if payload is None else str(payload)
+
+    def postprocess(self, value: str | None) -> str | None:
+        """
+        Parameters:
+            value: Expects a {str} returned from function and sets textarea value to it.
+        Returns:
+            The value to display in the textarea.
+        """
+        return None if value is None else str(value)
+
+    def api_info(self) -> dict[str, Any]:
+        return {"type": "string"}
+
+    def example_payload(self) -> Any:
+        return "Hello!!"
+
+    def example_value(self) -> Any:
+        return "Hello!!"
+
+class Log(FormComponent):
+    """
+    Create a log component which can continuously read from a log file and display the content in a container.
+    """
+
+    EVENTS = [Events.load]
+
+    def find_start_position(self) -> int:
+        self.io.seek(0, 2)
+        file_size = self.io.tell()
+        lines_found = 0
+        block_size = 1024
+        blocks = []
+
+        while self.io.tell() > 0 and lines_found <= self.tail:
+            self.io.seek(max(self.io.tell() - block_size, 0))
+            block = self.io.read(block_size)
+            blocks.append(block)
+            lines_found += block.count(b"\n")
+            self.io.seek(-len(block), 1)
+
+        all_read_bytes = b"".join(reversed(blocks))
+        lines = all_read_bytes.splitlines()
+
+        if self.tail >= len(lines):
+            return 0
+        last_lines = b"\n".join(lines[-self.tail :])
+        return file_size - len(last_lines) - 1
+
+    def read_to_end(self) -> bytes:
+        if self.current_pos is None:
+            return None
+        if self.stop_reading:
+            return None
+        self.io.seek(self.current_pos)
+        b = self.io.read().decode()
+        self.current_pos = self.io.tell()
+        return b
+
+    def __init__(
+        self,
+        log_file: str = None,
+        tail: int = 100,
+        dark: bool = False,
+        *,
+        label: str | None = None,
+        info: str | None = None,
+        every: float = 0.3,
+        show_label: bool | None = None,
+        container: bool = True,
+        scale: int | None = None,
+        min_width: int = 160,
+        interactive: bool | None = None,
+        visible: bool = True,
+        elem_id: str | None = None,
+        elem_classes: list[str] | str | None = None,
+        render: bool = True,
+    ):
+        """
+        Parameters:
+            log_file: the log file path to read from.
+            tail: from the end of the file, the number of lines to start read from.
+            dark: if True, will render the component in dark mode.
+            label: The label for this component. Appears above the component and is also 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.
+            info: additional component description.
+            every: New log pulling interval.
+            show_label: if True, will display label.
+            container: If True, will place the component in a container - providing some extra padding around the border.
+            scale: relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.
+            min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
+            interactive: if True, will be rendered as an editable textbox; if False, editing will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.
+            visible: If False, component will be hidden.
+            elem_id: An optional string that is assigned as the id of this component in the HTML 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 HTML 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.
+        """
+        self.log_file = log_file
+        self.tail = tail
+        self.dark = dark
+        self.current_pos = None
+        self.fd = None
+        self.stop_reading = False
+
+        super().__init__(
+            label=label,
+            info=info,
+            every=every,
+            show_label=show_label,
+            container=container,
+            scale=scale,
+            min_width=min_width,
+            interactive=interactive,
+            visible=visible,
+            elem_id=elem_id,
+            elem_classes=elem_classes,
+            render=render,
+            value=self.read_to_end,
+        )
+
+        self.load(self.handle_load_event)
+
+    def handle_load_event(self):
+        # prevent race condition
+        self.stop_reading = True
+        time.sleep(1)
+        self.io = open(self.log_file, "rb")
+        self.current_pos = self.find_start_position()
+        self.stop_reading = False
+
+    def api_info(self) -> dict[str, Any]:
+        return {"type": "string"}
+
+    def example_payload(self) -> Any:
+        return "Hello!!"
+
+    def example_value(self) -> Any:
+        return "Hello!!"
+
+    
+    def load(self,
+        fn: Callable | None,
+        inputs: Component | Sequence[Component] | set[Component] | None = None,
+        outputs: Component | Sequence[Component] | None = None,
+        api_name: str | None | Literal[False] = None,
+        scroll_to_output: bool = False,
+        show_progress: Literal["full", "minimal", "hidden"] = "full",
+        queue: bool | None = None,
+        batch: bool = False,
+        max_batch_size: int = 4,
+        preprocess: bool = True,
+        postprocess: bool = True,
+        cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
+        every: float | None = None,
+        trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
+        js: str | None = None,
+        concurrency_limit: int | None | Literal["default"] = "default",
+        concurrency_id: str | None = None,
+        show_api: bool = True) -> Dependency:
+        """
+        Parameters:
+            fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
+            inputs: List of gradio.components to use as inputs. If the function takes no inputs, this should be an empty list.
+            outputs: List of gradio.components to use as outputs. If the function returns no outputs, this should be an empty list.
+            api_name: Defines how the endpoint appears in the API docs. Can be a string, None, or False. If False, the endpoint will not be exposed in the api docs. If set to None, the endpoint will be exposed in the api docs as an unnamed endpoint, although this behavior will be changed in Gradio 4.0. If set to a string, the endpoint will be exposed in the api docs with the given name.
+            scroll_to_output: If True, will scroll to output component on completion
+            show_progress: If True, will show progress animation while pending
+            queue: If True, will place the request on the queue, if the queue has been enabled. If False, will not put this event on the queue, even if the queue has been enabled. If None, will use the queue setting of the gradio app.
+            batch: If True, then the function should process a batch of inputs, meaning that it should accept a list of input values for each parameter. The lists should be of equal length (and be up to length `max_batch_size`). The function is then *required* to return a tuple of lists (even if there is only 1 output component), with each list in the tuple corresponding to one output component.
+            max_batch_size: Maximum number of inputs to batch together if this is called from the queue (only relevant if batch=True)
+            preprocess: If False, will not run preprocessing of component data before running 'fn' (e.g. leaving it as a base64 string if this method is called with the `Image` component).
+            postprocess: If False, will not run postprocessing of component data before returning 'fn' output to the browser.
+            cancels: A list of other events to cancel when this listener is triggered. For example, setting cancels=[click_event] will cancel the click_event, where click_event is the return value of another components .click method. Functions that have not yet run (or generators that are iterating) will be cancelled, but functions that are currently running will be allowed to finish.
+            every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds.
+            trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` and `.key_up()` events) would allow a second submission after the pending event is complete.
+            js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
+            concurrency_limit: If set, this is the maximum number of this event that can be running simultaneously. Can be set to None to mean no concurrency_limit (any number of this event can be running simultaneously). Set to "default" to use the default concurrency limit (defined by the `default_concurrency_limit` parameter in `Blocks.queue()`, which itself is 1 by default).
+            concurrency_id: If set, this is the id of the concurrency group. Events with the same concurrency_id will be limited by the lowest set concurrency_limit.
+            show_api: whether to show this event in the "view API" page of the Gradio app, or in the ".view_api()" method of the Gradio clients. Unlike setting api_name to False, setting show_api to False will still allow downstream apps to use this event. If fn is None, show_api will automatically be set to False.
+        """
+        ...
+
+    

src/backend/gradio_log/templates/component/style.css

@@ -0,0 +1,32 @@
+.block.svelte-nl1om8{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-nl1om8{border-color:var(--color-accent)}.block.border_contrast.svelte-nl1om8{border-color:var(--body-text-color)}.padded.svelte-nl1om8{padding:var(--block-padding)}.hidden.svelte-nl1om8{display:none}.hide-container.svelte-nl1om8{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 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.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) - 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.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))}}/**
+* Copyright (c) 2014 The xterm.js authors. All rights reserved.
+* Copyright (c) 2012-2013, Christopher Jeffrey (MIT License)
+* https://github.com/chjj/term.js
+* @license MIT
+*
+* Permission is hereby granted, free of charge, to any person obtaining a copy
+* of this software and associated documentation files (the "Software"), to deal
+* in the Software without restriction, including without limitation the rights
+* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+* copies of the Software, and to permit persons to whom the Software is
+* furnished to do so, subject to the following conditions:
+*
+* The above copyright notice and this permission notice shall be included in
+* all copies or substantial portions of the Software.
+*
+* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+* THE SOFTWARE.
+*
+* Originally forked from (with the author's permission):
+*   Fabrice Bellard's javascript vt100 for jslinux:
+*   http://bellard.org/jslinux/
+*   Copyright (c) 2011 Fabrice Bellard
+*   The original design remains. The terminal itself
+*   has been extended to include xterm CSI codes, among
+*   other features.
+*/.xterm{cursor:text;position:relative;user-select:none;-ms-user-select:none;-webkit-user-select:none}.xterm.focus,.xterm:focus{outline:none}.xterm .xterm-helpers{position:absolute;top:0;z-index:5}.xterm .xterm-helper-textarea{padding:0;border:0;margin:0;position:absolute;opacity:0;left:-9999em;top:0;width:0;height:0;z-index:-5;white-space:nowrap;overflow:hidden;resize:none}.xterm .composition-view{background:#000;color:#fff;display:none;position:absolute;white-space:nowrap;z-index:1}.xterm .composition-view.active{display:block}.xterm .xterm-viewport{background-color:#000;overflow-y:scroll;cursor:default;position:absolute;right:0;left:0;top:0;bottom:0}.xterm .xterm-screen{position:relative}.xterm .xterm-screen canvas{position:absolute;left:0;top:0}.xterm .xterm-scroll-area{visibility:hidden}.xterm-char-measure-element{display:inline-block;visibility:hidden;position:absolute;top:0;left:-9999em;line-height:normal}.xterm.enable-mouse-events{cursor:default}.xterm.xterm-cursor-pointer,.xterm .xterm-cursor-pointer{cursor:pointer}.xterm.column-select.focus{cursor:crosshair}.xterm .xterm-accessibility:not(.debug),.xterm .xterm-message{position:absolute;left:0;top:0;bottom:0;right:0;z-index:10;color:transparent;pointer-events:none}.xterm .xterm-accessibility-tree:not(.debug) *::selection{color:transparent}.xterm .xterm-accessibility-tree{-webkit-user-select:text;user-select:text;white-space:pre}.xterm .live-region{position:absolute;left:-9999px;width:1px;height:1px;overflow:hidden}.xterm-dim{opacity:1!important}.xterm-underline-1{text-decoration:underline}.xterm-underline-2{text-decoration:double underline}.xterm-underline-3{text-decoration:wavy underline}.xterm-underline-4{text-decoration:dotted underline}.xterm-underline-5{text-decoration:dashed underline}.xterm-overline{text-decoration:overline}.xterm-overline.xterm-underline-1{text-decoration:overline underline}.xterm-overline.xterm-underline-2{text-decoration:overline double underline}.xterm-overline.xterm-underline-3{text-decoration:overline wavy underline}.xterm-overline.xterm-underline-4{text-decoration:overline dotted underline}.xterm-overline.xterm-underline-5{text-decoration:overline dashed underline}.xterm-strikethrough{text-decoration:line-through}.xterm-screen .xterm-decoration-container .xterm-decoration{z-index:6;position:absolute}.xterm-screen .xterm-decoration-container .xterm-decoration.xterm-decoration-top-layer{z-index:7}.xterm-decoration-overview-ruler{z-index:8;position:absolute;top:0;right:0;pointer-events:none}.xterm-decoration-top{z-index:2;position:relative}.svelte-1jxdgz3 .xterm .xterm-viewport{overflow-y:auto!important}

src/demo/app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from gradio_log import Log
+
+
+with open("/tmp/test.log", "wb") as f:
+    # write some random log to f, with colored and uncolored text
+    f.write(b"[INFO] Everything is fine.\n")
+    f.write(b"\x1b[34m[DEBUG] Debugging information.\x1b[0m\n")
+    f.write(b"\x1b[32m[SUCCESS] Task completed successfully.\x1b[0m\n")
+    f.write(b"\x1b[33m[WARNING] Something is not right.\x1b[0m\n")
+    f.write(b"\x1b[31m[ERROR] Unexpected error occured.\x1b[0m\n")
+
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    with gr.Row():
+        with gr.Column(scale=1):
+            Log("/tmp/test.log")
+        with gr.Column(scale=1):
+            Log(
+                "/tmp/test.log",
+                dark=True,
+                tail=4,
+                label="dark mode, read from last 4 lines of log",
+            )
+
+
+if __name__ == "__main__":
+    demo.launch()

src/demo/css.css

@@ -0,0 +1,157 @@
+html {
+	font-family: Inter;
+	font-size: 16px;
+	font-weight: 400;
+	line-height: 1.5;
+	-webkit-text-size-adjust: 100%;
+	background: #fff;
+	color: #323232;
+	-webkit-font-smoothing: antialiased;
+	-moz-osx-font-smoothing: grayscale;
+	text-rendering: optimizeLegibility;
+}
+
+:root {
+	--space: 1;
+	--vspace: calc(var(--space) * 1rem);
+	--vspace-0: calc(3 * var(--space) * 1rem);
+	--vspace-1: calc(2 * var(--space) * 1rem);
+	--vspace-2: calc(1.5 * var(--space) * 1rem);
+	--vspace-3: calc(0.5 * var(--space) * 1rem);
+}
+
+.app {
+	max-width: 748px !important;
+}
+
+.prose p {
+	margin: var(--vspace) 0;
+	line-height: var(--vspace * 2);
+	font-size: 1rem;
+}
+
+code {
+	font-family: "Inconsolata", sans-serif;
+	font-size: 16px;
+}
+
+h1,
+h1 code {
+	font-weight: 400;
+	line-height: calc(2.5 / var(--space) * var(--vspace));
+}
+
+h1 code {
+	background: none;
+	border: none;
+	letter-spacing: 0.05em;
+	padding-bottom: 5px;
+	position: relative;
+	padding: 0;
+}
+
+h2 {
+	margin: var(--vspace-1) 0 var(--vspace-2) 0;
+	line-height: 1em;
+}
+
+h3,
+h3 code {
+	margin: var(--vspace-1) 0 var(--vspace-2) 0;
+	line-height: 1em;
+}
+
+h4,
+h5,
+h6 {
+	margin: var(--vspace-3) 0 var(--vspace-3) 0;
+	line-height: var(--vspace);
+}
+
+.bigtitle,
+h1,
+h1 code {
+	font-size: calc(8px * 4.5);
+	word-break: break-word;
+}
+
+.title,
+h2,
+h2 code {
+	font-size: calc(8px * 3.375);
+	font-weight: lighter;
+	word-break: break-word;
+	border: none;
+	background: none;
+}
+
+.subheading1,
+h3,
+h3 code {
+	font-size: calc(8px * 1.8);
+	font-weight: 600;
+	border: none;
+	background: none;
+	letter-spacing: 0.1em;
+	text-transform: uppercase;
+}
+
+h2 code {
+	padding: 0;
+	position: relative;
+	letter-spacing: 0.05em;
+}
+
+blockquote {
+	font-size: calc(8px * 1.1667);
+	font-style: italic;
+	line-height: calc(1.1667 * var(--vspace));
+	margin: var(--vspace-2) var(--vspace-2);
+}
+
+.subheading2,
+h4 {
+	font-size: calc(8px * 1.4292);
+	text-transform: uppercase;
+	font-weight: 600;
+}
+
+.subheading3,
+h5 {
+	font-size: calc(8px * 1.2917);
+	line-height: calc(1.2917 * var(--vspace));
+
+	font-weight: lighter;
+	text-transform: uppercase;
+	letter-spacing: 0.15em;
+}
+
+h6 {
+	font-size: calc(8px * 1.1667);
+	font-size: 1.1667em;
+	font-weight: normal;
+	font-style: italic;
+	font-family: "le-monde-livre-classic-byol", serif !important;
+	letter-spacing: 0px !important;
+}
+
+#start .md > *:first-child {
+	margin-top: 0;
+}
+
+h2 + h3 {
+	margin-top: 0;
+}
+
+.md hr {
+	border: none;
+	border-top: 1px solid var(--block-border-color);
+	margin: var(--vspace-2) 0 var(--vspace-2) 0;
+}
+.prose ul {
+	margin: var(--vspace-2) 0 var(--vspace-1) 0;
+}
+
+.gap {
+	gap: 0;
+}

src/demo/space.py

@@ -0,0 +1,150 @@
+
+import gradio as gr
+from app import demo as app
+import os
+
+_docs = {'Log': {'description': 'Create a log component which can continuously read from a log file and display the content in a container.', 'members': {'__init__': {'log_file': {'type': 'str', 'default': 'None', 'description': 'the log file path to read from.'}, 'tail': {'type': 'int', 'default': '100', 'description': 'from the end of the file, the number of lines to start read from.'}, 'dark': {'type': 'bool', 'default': 'False', 'description': 'if True, will render the component in dark mode.'}, 'label': {'type': 'str | None', 'default': 'None', 'description': 'The label for this component. Appears above the component and is also 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.'}, 'info': {'type': 'str | None', 'default': 'None', 'description': 'additional component description.'}, 'every': {'type': 'float', 'default': '0.3', 'description': 'New log pulling interval.'}, 'show_label': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will display label.'}, 'container': {'type': 'bool', 'default': 'True', 'description': 'If True, will place the component in a container - providing some extra padding around the border.'}, 'scale': {'type': 'int | None', 'default': 'None', 'description': 'relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.'}, 'min_width': {'type': 'int', 'default': '160', 'description': 'minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.'}, 'interactive': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will be rendered as an editable textbox; if False, editing will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.'}, 'visible': {'type': 'bool', 'default': 'True', 'description': 'If False, component will be hidden.'}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': 'An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.'}, 'elem_classes': {'type': 'list[str] | str | None', 'default': 'None', 'description': 'An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.'}, 'render': {'type': 'bool', 'default': 'True', 'description': '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.'}}, 'postprocess': {}, 'preprocess': {'return': {'type': 'typing.Any', 'description': "The preprocessed input data sent to the user's function in the backend."}, 'value': None}}, 'events': {'load': {'type': None, 'default': None, 'description': 'This listener is triggered when the Log initially loads in the browser.'}}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'Log': []}}}
+
+abs_path = os.path.join(os.path.dirname(__file__), "css.css")
+
+with gr.Blocks(
+    css=abs_path,
+    theme=gr.themes.Default(
+        font_mono=[
+            gr.themes.GoogleFont("Inconsolata"),
+            "monospace",
+        ],
+    ),
+) as demo:
+    gr.Markdown(
+"""
+# `gradio_log`
+
+<div style="display: flex; gap: 7px;">
+<img alt="Static Badge" src="https://img.shields.io/badge/version%20-%200.0.1%20-%20orange">  
+</div>
+
+Python library for easily interacting with trained machine learning models
+""", elem_classes=["md-custom"], header_links=True)
+    app.render()
+    gr.Markdown(
+"""
+## Installation
+
+```bash
+pip install gradio_log
+```
+
+## Usage
+
+```python
+import gradio as gr
+from gradio_log import Log
+
+
+with open("/tmp/test.log", "wb") as f:
+    # write some random log to f, with colored and uncolored text
+    f.write(b"[INFO] Everything is fine.\n")
+    f.write(b"\x1b[34m[DEBUG] Debugging information.\x1b[0m\n")
+    f.write(b"\x1b[32m[SUCCESS] Task completed successfully.\x1b[0m\n")
+    f.write(b"\x1b[33m[WARNING] Something is not right.\x1b[0m\n")
+    f.write(b"\x1b[31m[ERROR] Unexpected error occured.\x1b[0m\n")
+
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    with gr.Row():
+        with gr.Column(scale=1):
+            Log("/tmp/test.log")
+        with gr.Column(scale=1):
+            Log(
+                "/tmp/test.log",
+                dark=True,
+                tail=4,
+                label="dark mode, read from last 4 lines of log",
+            )
+
+
+if __name__ == "__main__":
+    demo.launch()
+
+```
+""", elem_classes=["md-custom"], header_links=True)
+
+
+    gr.Markdown("""
+## `Log`
+
+### Initialization
+""", elem_classes=["md-custom"], header_links=True)
+
+    gr.ParamViewer(value=_docs["Log"]["members"]["__init__"], linkify=[])
+
+
+    gr.Markdown("### Events")
+    gr.ParamViewer(value=_docs["Log"]["events"], linkify=['Event'])
+
+
+
+
+    gr.Markdown("""
+
+### User function
+
+The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).
+
+- When used as an Input, the component only impacts the input signature of the user function.
+- When used as an output, the component only impacts the return signature of the user function.
+
+The code snippet below is accurate in cases where the component is used as both an input and an output.
+
+- **As input:** Is passed, the preprocessed input data sent to the user's function in the backend.
+
+
+ ```python
+def predict(
+    value: typing.Any
+) -> Unknown:
+    return value
+```
+""", elem_classes=["md-custom", "Log-user-fn"], header_links=True)
+
+
+
+
+    demo.load(None, js=r"""function() {
+    const refs = {};
+    const user_fn_refs = {
+          Log: [], };
+    requestAnimationFrame(() => {
+
+        Object.entries(user_fn_refs).forEach(([key, refs]) => {
+            if (refs.length > 0) {
+                const el = document.querySelector(`.${key}-user-fn`);
+                if (!el) return;
+                refs.forEach(ref => {
+                    el.innerHTML = el.innerHTML.replace(
+                        new RegExp("\\b"+ref+"\\b", "g"),
+                        `<a href="#h-${ref.toLowerCase()}">${ref}</a>`
+                    );
+                })
+            }
+        })
+
+        Object.entries(refs).forEach(([key, refs]) => {
+            if (refs.length > 0) {
+                const el = document.querySelector(`.${key}`);
+                if (!el) return;
+                refs.forEach(ref => {
+                    el.innerHTML = el.innerHTML.replace(
+                        new RegExp("\\b"+ref+"\\b", "g"),
+                        `<a href="#h-${ref.toLowerCase()}">${ref}</a>`
+                    );
+                })
+            }
+        })
+    })
+}
+
+""")
+
+demo.launch()

src/frontend/Index.svelte

@@ -0,0 +1,88 @@
+<svelte:options accessors={true} />
+
+<script lang="ts">
+	import type { Gradio } from "@gradio/utils";
+	import { BlockTitle } from "@gradio/atoms";
+	import { Block } from "@gradio/atoms";
+	import { StatusTracker } from "@gradio/statustracker";
+	import type { LoadingStatus } from "@gradio/statustracker";
+	import xterm from "@xterm/xterm";
+	import addon from "xterm-addon-fit";
+	import { onMount } from "svelte";
+
+	export let gradio: Gradio<{
+		change: never;
+		submit: never;
+		input: never;
+	}>;
+	export let log_file = "";
+	export let label = `log of ${log_file}`;
+	export let dark = false;
+	export let elem_id = "";
+	export let elem_classes: string[] = ["terminal-block"];
+	export let visible = true;
+	export let value = "";
+	export let show_label: boolean;
+	export let scale: number | null = null;
+	export let min_width: number | undefined = undefined;
+	export let loading_status: LoadingStatus | undefined = undefined;
+
+	let term;
+	let termNode;
+
+	$: theme = dark
+		? { foreground: "white", background: "#1F2937" }
+		: {
+				foreground: "#1F2937",
+				background: "white",
+				selectionBackground: "#e5e7eb",
+			};
+
+	onMount(() => {
+		term = new xterm.Terminal({
+			// allowTransparency: true,
+			theme,
+		});
+		term.open(termNode);
+		const fitAddon = new addon.FitAddon();
+		term.loadAddon(fitAddon);
+		setTimeout(() => {
+			fitAddon.fit();
+		}, 300);
+	});
+
+	$: if (term && value) {
+		if (value.trim() !== "") {
+			term.write(value.replace(/\n/g, "\n\r"));
+		}
+	}
+</script>
+
+<Block
+	{visible}
+	{elem_id}
+	{scale}
+	{min_width}
+	elem_classes={[...elem_classes, dark ? "dark" : ""]}
+	allow_overflow={false}
+	padding={true}
+>
+	{#if loading_status}
+		<StatusTracker
+			autoscroll={gradio.autoscroll}
+			i18n={gradio.i18n}
+			{...loading_status}
+		/>
+	{/if}
+	<div>
+		<BlockTitle {show_label} info={undefined}>{label}</BlockTitle>
+		<div bind:this={termNode}></div>
+	</div>
+</Block>
+
+<style>
+	@import "./node_modules/@xterm/xterm/css/xterm.css";
+	* :global(.xterm .xterm-viewport) {
+		overflow-y: auto !important;
+	}
+</style>

src/frontend/package-lock.json

@@ -0,0 +1,972 @@
+{
+  "name": "gradio_log",
+  "version": "0.1.13",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "gradio_log",
+      "version": "0.1.13",
+      "license": "ISC",
+      "dependencies": {
+        "@gradio/atoms": "0.6.1",
+        "@gradio/icons": "0.3.4",
+        "@gradio/statustracker": "0.4.10",
+        "@gradio/utils": "0.3.0",
+        "@xterm/xterm": "^5.5.0",
+        "xterm-addon-fit": "^0.8.0"
+      }
+    },
+    "node_modules/@ampproject/remapping": {
+      "version": "2.3.0",
+      "resolved": "https://mirrors.cloud.tencent.com/npm/@ampproject/remapping/-/remapping-2.3.0.tgz",
+      "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
+      "peer": true,
+      "dependencies": {
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.24"
+      },
+      "engines": {
+        "node": ">=6.0.0"
+      }
+    },
+    "node_modules/@esbuild/aix-ppc64": {
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+      "resolved": "https://mirrors.cloud.tencent.com/npm/@esbuild/aix-ppc64/-/aix-ppc64-0.19.12.tgz",
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+      "cpu": [
+        "ppc64"
+      ],
+      "optional": true,
+      "os": [
+        "aix"
+      ],
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+      }
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+      "resolved": "https://mirrors.cloud.tencent.com/npm/@esbuild/android-arm/-/android-arm-0.19.12.tgz",
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+      ],
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+        "x64"
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+        "android"
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+      }
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+        "arm64"
+      ],
+      "optional": true,
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+        "freebsd"
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+}

src/frontend/package.json

@@ -0,0 +1,22 @@
+{
+  "name": "gradio_log",
+  "version": "0.1.13",
+  "description": "Gradio UI packages",
+  "type": "module",
+  "author": "",
+  "license": "ISC",
+  "private": false,
+  "main_changeset": true,
+  "exports": {
+    ".": "./Index.svelte",
+    "./package.json": "./package.json"
+  },
+  "dependencies": {
+    "@gradio/atoms": "0.6.1",
+    "@gradio/icons": "0.3.4",
+    "@gradio/statustracker": "0.4.10",
+    "@gradio/utils": "0.3.0",
+    "@xterm/xterm": "^5.5.0",
+    "xterm-addon-fit": "^0.8.0"
+  }
+}

src/pyproject.toml

@@ -0,0 +1,45 @@
+[build-system]
+requires = [
+  "hatchling",
+  "hatch-requirements-txt",
+  "hatch-fancy-pypi-readme>=22.5.0",
+]
+build-backend = "hatchling.build"
+
+[project]
+name = "gradio_log"
+version = "0.0.1"
+description = "Python library for easily interacting with trained machine learning models"
+readme = "README.md"
+license = "Apache-2.0"
+requires-python = ">=3.8"
+authors = [{ name = "YOUR NAME", email = "YOUREMAIL@domain.com" }]
+keywords = [
+  "gradio-custom-component",
+  "gradio-template-SimpleTextbox"
+]
+# 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_log/templates", "*.pyi", "backend/gradio_log/templates", "backend/gradio_log/templates"]
+
+[tool.hatch.build.targets.wheel]
+packages = ["/backend/gradio_log"]