Delete main.py

main.py

@@ -1,59 +0,0 @@
-from fastapi import FastAPI, Request
-from pydantic import BaseModel
-import json
-import os
-from llama_index.core import SimpleDirectoryReader, VectorStoreIndex
-from llama_index.core.schema import Document
-from llama_index.llms.openai import OpenAI
-
-# Load and prepare user data once at startup
-with open("sdluk.json", "r", encoding="utf-8") as f:
-    raw_data = json.load(f)
-
-user_id = "IpJycOGcYkPNs0iYhpzUigcvbBG2"
-user_data = {
-    "profile": raw_data["__collections__"]["users"].get(user_id, {}),
-    "cart": [v for v in raw_data["__collections__"]["carts"].values() if v.get("userId") == user_id],
-    "favorites": [v for v in raw_data["__collections__"]["favorites"].values() if v.get("userId") == user_id],
-    "issues": [v for v in raw_data["__collections__"]["issue_reports"].values() if v.get("userId") == user_id],
-    "plans": list(raw_data["__collections__"]["pricingPlans"].values())[0]["plans"],
-    "products": list(raw_data["__collections__"]["products"].values()),
-}
-
-# Convert to document
-document = Document(text=json.dumps(user_data, indent=2))
-
-# Set OpenAI key (ensure this is set securely)
-os.environ["OPENAI_API_KEY"] = "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"
-
-# Initialize LLM and index
-llm = OpenAI(model="gpt-4o")
-index = VectorStoreIndex.from_documents([document])
-query_engine = index.as_query_engine(llm=llm)
-
-# Chatbot instruction
-instruction = """
-You are a friendly and smart assistant for a retail telecom company. Use the given user data (profile, cart, favorites, plans, issues, products) to answer questions.
-
-1. Be polite and personalized if possible. Greetings and Politeness (e.g., "Hi", "Good morning", "How are you?")
-   - Respond politely and warmly like a friendly customer support assistant.
-2. If the question is about products, look in 'products'.
-3. For current plan or registration, use 'profile' and 'plans'.
-4. For cart/favorite items, check 'cart' and 'favorites'.
-5. For issues or help, refer to 'issues'.
-6. If the info is missing, say: "I couldn't find that in your records. Want me to check online?"
-
-Always answer clearly using available data.
-"""
-
-# FastAPI app
-app = FastAPI()
-
-class QueryInput(BaseModel):
-    query: str
-
-@app.post("/chat")
-def retail_chatbot(input: QueryInput):
-    full_prompt = f"instruction: {instruction}\nquery: {input.query}"
-    response = query_engine.query(full_prompt)
-    return {"response": response.response}