Upload 22 files

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+embeddingData.json filter=lfs diff=lfs merge=lfs -text
+static/images/Kevin_actorScan_Diffuse.png filter=lfs diff=lfs merge=lfs -text

Dockerfile

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+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+
+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["uvicorn", "main.py"]

embeddingData.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4091a372cfaa8ddf39f3971c8e79a906c83ff6be72e11d445ebfcb5fd02317ee
+size 37612142

main.py

@@ -0,0 +1,114 @@
+from flask import Flask, request, jsonify, render_template
+import os
+import requests
+import json
+from scipy import spatial
+from flask_cors import CORS
+import random
+
+url = "https://gptlesson1.oss-cn-beijing.aliyuncs.com/meta.json"
+response = requests.get(url)
+apiKeys = response.json()["APIkey"]["keys"]
+
+with open("embeddingData.json", "r", encoding="utf-8") as f:
+    df = json.load(f)
+
+
+def embeddingGen(query):
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": "Bearer " + random.choice(apiKeys),
+    }
+    json_data = {
+        "input": query,
+        "model": "text-embedding-ada-002",
+    }
+
+    response = requests.post(
+        "https://api.openai.com/v1/embeddings", headers=headers, json=json_data
+    )
+    return response.json()
+
+
+def strings_ranked_by_relatedness(query, df, top_n=5):
+    def relatedness_fn(x, y): return 1 - spatial.distance.cosine(x, y)
+    query_embedding_response = embeddingGen(query)
+    query_embedding = query_embedding_response["data"][0]["embedding"]
+    strings_and_relatednesses = [
+        (row["text"], relatedness_fn(query_embedding, row["embedding"])) for row in df
+    ]
+    strings_and_relatednesses.sort(key=lambda x: x[1], reverse=True)
+    strings, relatednesses = zip(*strings_and_relatednesses)
+    return strings[:top_n], relatednesses[:top_n]
+
+
+app = Flask(__name__)
+CORS(app)
+
+messages = [
+    {
+        "role": "system",
+        "content": "You are a Telegram bot who replys to all my Contacts in my absence. Keep your ton very sexual and hot. Never ever mention you as an AI.",
+    }
+]
+
+
+def gptConverse(question, key):
+    global messages
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": "Bearer " + key,
+    }
+    messages.append(
+        {
+            "role": "user",
+            "content": question,
+        }
+    )
+    json_data = {
+        "model": "gpt-3.5-turbo",
+        "messages": messages,
+        "max_tokens": 2048,
+    }
+    response = requests.post(
+        "https://api.openai.com/v1/chat/completions", headers=headers, json=json_data
+    )
+    output = response.json()["choices"][0]["message"]["content"]
+    messages.append(
+        {
+            "role": "assistant",
+            "content": output,
+        }
+    )
+    return output
+
+
+@app.route("/api/gpt", methods=["GET"])
+def gptRes():
+    query = request.args.get("query")
+    response = gptConverse(query, random.choice(apiKeys))
+    return jsonify({"response": response})
+
+
+@app.route("/", methods=["GET"])
+def index():
+    return render_template("index.html")
+
+
+@app.route("/api/getAPI", methods=["POST"])
+def getAPI():
+    return jsonify({"API": random.choice(apiKeys)})
+
+
+@app.route("/api/getContext", methods=["POST"])
+def getContext():
+    question = request.form["question"]
+    strings, relatednesses = strings_ranked_by_relatedness(question, df, top_n=2)
+    context = "\n---------\n".join(strings)
+    return jsonify({"context": context})
+
+
+if __name__ == "__main__":
+    from waitress import serve
+
+    serve(app, host="0.0.0.0", port=7860)

requirements.txt

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+Flask
+scipy
+requests
+Flask-Cors
+waitress
+uvicorn

static/asset-manifest.json

@@ -0,0 +1,13 @@
+{
+  "files": {
+    "main.css": "/static/css/main.63748156.css",
+    "main.js": "/static/js/main.e348f016.js",
+    "index.html": "/index.html",
+    "main.63748156.css.map": "/static/css/main.63748156.css.map",
+    "main.e348f016.js.map": "/static/js/main.e348f016.js.map"
+  },
+  "entrypoints": [
+    "static/css/main.63748156.css",
+    "static/js/main.e348f016.js"
+  ]
+}

static/css/main.63748156.css

@@ -0,0 +1,6 @@
+@import url(https://fonts.googleapis.com/css2?family=Inter:wght@100;200;300;400;500;600;700;800;900&family=Poppins:ital,wght@0,100;0,200;0,300;0,400;0,500;0,600;0,700;0,800;0,900;1,100;1,200;1,300;1,400;1,500;1,600;1,700;1,800;1,900&display=swap);*{font-family:Inter,sans-serif}.noScroolbar::-webkit-scrollbar{display:none}body{--tw-bg-opacity:1;background-color:rgb(255 246 211/var(--tw-bg-opacity))}
+
+/*
+! tailwindcss v3.3.3 | MIT License | https://tailwindcss.com
+*/*,:after,:before{border:0 solid #e5e7eb;box-sizing:border-box}:after,:before{--tw-content:""}html{-webkit-text-size-adjust:100%;-webkit-font-feature-settings:normal;font-feature-settings:normal;font-family:ui-sans-serif,system-ui,-apple-system,BlinkMacSystemFont,Segoe UI,Roboto,Helvetica Neue,Arial,Noto Sans,sans-serif,Apple Color Emoji,Segoe UI Emoji,Segoe UI Symbol,Noto Color Emoji;font-variation-settings:normal;line-height:1.5;tab-size:4}body{line-height:inherit;margin:0}hr{border-top-width:1px;color:inherit;height:0}abbr:where([title]){-webkit-text-decoration:underline dotted;text-decoration:underline dotted}h1,h2,h3,h4,h5,h6{font-size:inherit;font-weight:inherit}a{color:inherit;text-decoration:inherit}b,strong{font-weight:bolder}code,kbd,pre,samp{font-family:ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,Liberation Mono,Courier 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+/*# sourceMappingURL=main.63748156.css.map*/

static/css/main.63748156.css.map

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static/js/main.e348f016.js.LICENSE.txt

@@ -0,0 +1,63 @@
+/*! regenerator-runtime -- Copyright (c) 2014-present, Facebook, Inc. -- license (MIT): https://github.com/facebook/regenerator/blob/main/LICENSE */
+
+/**
+ * @license React
+ * react-dom.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @license React
+ * react-jsx-runtime.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @license React
+ * react.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @license React
+ * scheduler.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @remix-run/router v1.7.2
+ *
+ * Copyright (c) Remix Software Inc.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE.md file in the root directory of this source tree.
+ *
+ * @license MIT
+ */
+
+/**
+ * React Router v6.14.2
+ *
+ * Copyright (c) Remix Software Inc.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE.md file in the root directory of this source tree.
+ *
+ * @license MIT
+ */

static/manifest.json

@@ -0,0 +1,25 @@
+{
+  "short_name": "React App",
+  "name": "Create React App Sample",
+  "icons": [
+    {
+      "src": "favicon.ico",
+      "sizes": "64x64 32x32 24x24 16x16",
+      "type": "image/x-icon"
+    },
+    {
+      "src": "logo192.png",
+      "type": "image/png",
+      "sizes": "192x192"
+    },
+    {
+      "src": "logo512.png",
+      "type": "image/png",
+      "sizes": "512x512"
+    }
+  ],
+  "start_url": ".",
+  "display": "standalone",
+  "theme_color": "#000000",
+  "background_color": "#ffffff"
+}

static/robots.txt

@@ -0,0 +1,3 @@
+# https://www.robotstxt.org/robotstxt.html
+User-agent: *
+Disallow:

templates/index.html

@@ -0,0 +1 @@
+<!doctype html><html lang="en"><head><meta charset="utf-8"><link rel="icon" href="/images/logo.png"><meta name="viewport" content="width=device-width,initial-scale=1"><meta name="theme-color" content="#000000"><meta name="description" content="Web site created using create-react-app"><link rel="apple-touch-icon" href="/logo192.png"><link rel="manifest" href="/manifest.json"><title>NarayanGPT</title><script defer="defer" src="/static/js/main.e348f016.js"></script><link href="/static/css/main.63748156.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html>

vercel.json

@@ -0,0 +1,8 @@
+{
+    "rewrites": [
+        {
+            "source": "/(.*)",
+            "destination": "/main"
+        }
+    ]
+}