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muhammadhasnain100
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -1,24 +1,26 @@
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from chatbot import Comsatsbot
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import uuid
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from langchain_groq import ChatGroq
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from langchain_community.embeddings import HuggingFaceBgeEmbeddings
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import os
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from pymongo import MongoClient
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import urllib.parse
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# FastAPI app setup
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app = FastAPI()
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model_name = "BAAI/bge-small-en"
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model_kwargs = {"device": "cpu"}
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encode_kwargs = {"normalize_embeddings": True}
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hf = HuggingFaceBgeEmbeddings(
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model_name=model_name, model_kwargs=model_kwargs, encode_kwargs=encode_kwargs
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)
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os.environ['GROQ_API_KEY'] = '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'
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api_key = os.environ.get("GROQ_API_KEY")
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llm = ChatGroq(temperature=0, groq_api_key=api_key, model_name="llama3-70b-8192")
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# MongoDB setup
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username = 'hasnainnaseer987'
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password = 'Hasnain'
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@@ -26,20 +28,25 @@ encoded_username = urllib.parse.quote_plus(username)
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encoded_password = urllib.parse.quote_plus(password)
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MONGODB_ATLAS_CLUSTER_URI = f'mongodb+srv://{encoded_username}:{encoded_password}@cluster0.jdfp3.mongodb.net/'
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client = MongoClient(MONGODB_ATLAS_CLUSTER_URI)
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paths = ['/content/FYP Supervisor Feedback.csv', '/content/urdu_data.csv', '/content/english_data.csv']
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chatbot = Comsatsbot(hf, llm, api_key, client, paths)
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# Endpoint for creating a new chat ID
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@app.post("/
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def
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try:
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chat_id = str(uuid.uuid4())
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message = chatbot.new_chat(
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return {"chat_id": chat_id, "message": "Successfully created new chat."}
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except
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raise
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# Request model for response endpoint
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class ChatRequest(BaseModel):
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chat_id: str
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@@ -49,28 +56,37 @@ class ChatRequest(BaseModel):
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@app.get("/get_chat/{chat_id}")
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def get_chat(chat_id: str):
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try:
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return {"chat_id": chat_id, "history":
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except
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raise
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# Endpoint for deleting a chat by chat ID
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@app.delete("/delete_chat/{chat_id}")
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def delete_chat(chat_id: str):
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try:
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message = chatbot.delete_chat(chat_id)
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return {"message":
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except
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raise
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# Endpoint for getting a response based on chat ID and question
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@app.post("/response")
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def response(request: ChatRequest):
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chat_id = request.chat_id
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question = request.question
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answer = chatbot.response(question, chat_id)
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try:
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return {"answer": answer}
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except
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raise
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import uuid
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from pymongo import MongoClient
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import urllib.parse
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import os
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from langchain_groq import ChatGroq
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from langchain_community.embeddings import HuggingFaceBgeEmbeddings
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from chatbot import Comsatsbot
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# FastAPI app setup
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app = FastAPI()
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model_name = "BAAI/bge-small-en"
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model_kwargs = {"device": "cpu"}
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encode_kwargs = {"normalize_embeddings": True}
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hf = HuggingFaceBgeEmbeddings(
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model_name=model_name, model_kwargs=model_kwargs, encode_kwargs=encode_kwargs
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)
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os.environ['GROQ_API_KEY'] = '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'
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api_key = os.environ.get("GROQ_API_KEY")
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llm = ChatGroq(temperature=0, groq_api_key=api_key, model_name="llama3-70b-8192")
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# MongoDB setup
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username = 'hasnainnaseer987'
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password = 'Hasnain'
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encoded_password = urllib.parse.quote_plus(password)
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MONGODB_ATLAS_CLUSTER_URI = f'mongodb+srv://{encoded_username}:{encoded_password}@cluster0.jdfp3.mongodb.net/'
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client = MongoClient(MONGODB_ATLAS_CLUSTER_URI)
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db = client.get_database('chat_db') # Assume this is your database
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chats_collection = db.get_collection('chats') # Collection to store chats
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paths = ['/content/FYP Supervisor Feedback.csv', '/content/urdu_data.csv', '/content/english_data.csv']
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chatbot = Comsatsbot(hf, llm, api_key, chats_collection, paths)
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# Endpoint for creating a new chat ID
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@app.post("/get_new_chat")
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def create_new_chat():
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try:
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chat_id = str(uuid.uuid4())
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message = chatbot.new_chat(chat_id)
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return {"chat_id": chat_id, "message": "Successfully created new chat."}
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except KeyError:
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raise HTTPException(status_code=404, detail="Chat ID already exist try again plz...")
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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# Request model for response endpoint
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class ChatRequest(BaseModel):
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chat_id: str
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@app.get("/get_chat/{chat_id}")
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def get_chat(chat_id: str):
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try:
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history = chatbot.load_chat(chat_id)
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return {"chat_id": chat_id, "history": history}
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except KeyError:
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raise HTTPException(status_code=404, detail="Chat ID not found")
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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# Endpoint for deleting a chat by chat ID
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@app.delete("/delete_chat/{chat_id}")
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def delete_chat(chat_id: str):
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try:
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message = chatbot.delete_chat(chat_id)
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return {"message": f"Chat with ID {chat_id} has been deleted successfully."}
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except KeyError:
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raise HTTPException(status_code=404, detail="Chat ID not found")
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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# Endpoint for getting a response based on chat ID and question
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@app.post("/response")
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def response(request: ChatRequest):
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chat_id = request.chat_id
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question = request.question
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try:
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answer = chatbot.response(question, chat_id)
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return {"answer": answer}
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except KeyError:
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raise HTTPException(status_code=404, detail="Chat ID not found")
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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