Update appDeepseekCoder.py

appDeepseekCoder.py

@@ -1,66 +0,0 @@
-from fastapi import FastAPI, Request
-from fastapi.responses import JSONResponse
-from langchain_openai import ChatOpenAI
-from langchain.chains import LLMChain
-from prompts import maths_assistant_prompt_template
-from langchain.memory.buffer import ConversationBufferMemory
-from dotenv import load_dotenv
-import os
-import chainlit as cl
-import uvicorn
-
-# Load environment variables from .env file
-load_dotenv()
-
-api_key = os.getenv('OPENAI_API_KEY')
-print(f"api key is {api_key}")
-
-app = FastAPI()
-
-@app.on_event("startup")
-async def startup_event():
-    print("Initializing llm...")
-    llm = ChatOpenAI(model='gpt-4o-mini', temperature=0.5, api_key=api_key)
-    print("llm initialized!")
-    conversation_memory = ConversationBufferMemory(memory_key="chat_history", max_len=50, return_messages=True)
-    llm_chain = LLMChain(llm=llm, prompt=maths_assistant_prompt_template, memory=conversation_memory)
-    
-    # Initialize Chainlit context
-
-    cl.user_session.set("llm_chain", llm_chain)
-
-@app.post("/query/")
-async def query_llm(request: Request):
-    data = await request.json()
-    message = data.get("message")
-    llm_chain = cl.user_session.get("llm_chain")
-    response = await llm_chain.ainvoke({
-        "chat_history": llm_chain.memory.load_memory_variables({})["chat_history"],
-        "question": message
-    }, callbacks=[cl.AsyncLangchainCallbackHandler()])
-    return JSONResponse(content={"response": response["text"]})
-
-@cl.on_chat_start
-async def on_chat_start():
-    actions = [
-        cl.Action(name="Probability", value="Probability", description="Select Quiz Topic!"),
-        cl.Action(name="Linear Algebra", value="Linear Algebra", description="Select Quiz Topic!"),
-        cl.Action(name="Accounts", value="Accounts", description="Select Quiz Topic!"),
-        cl.Action(name="Calculus", value="Calculus", description="Select Quiz Topic!")
-    ]
-    await cl.Message(content="**Pick a Topic and Let the Quiz Adventure Begin!** 🎉📚", actions=actions).send()
-
-@cl.action_callback("Linear Algebra")
-@cl.action_callback("Probability")
-@cl.action_callback("Accounts")
-@cl.action_callback("Calculus")
-async def on_action(action: cl.Action):
-    llm_chain = cl.user_session.get("llm_chain")
-    response = await llm_chain.ainvoke({
-        "chat_history": llm_chain.memory.load_memory_variables({})["chat_history"],
-        "question": f"Quiz me on the topic {action.value}."
-    }, callbacks=[cl.AsyncLangchainCallbackHandler()])
-    await cl.Message(response["text"]).send()
-
-if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=7860)