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Update app.py
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app.py
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# app.py -
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import os
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import uvicorn
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import json
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app = FastAPI()
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client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
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# Configuration
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USERNAME = "Sanjay"
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MEMORY_FILE = "memory.json"
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except Exception as e:
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print(f"Memory Save Error: {e}")
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Role: Senior AI Architect (AumCore AI).
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User Identity: {USERNAME}.
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Core Rules:
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1. Language: Always 60% English and 40% Hindi (Devanagari).
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2. Code Rule: If {USERNAME} asks for code, provide a robust production-ready Python script with try-except blocks.
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3. Length: Responses must be powerful and direct (Max 4 lines).
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4. Persona: Talk like a Master AI, not a basic chatbot.
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"""
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HTML_UI = '''
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<!DOCTYPE html>
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<html lang="en">
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@app.post("/chat")
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async def chat(message: str = Form(...)):
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memory_data = load_memory()
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history = memory_data.get("history", [])[-10:]
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api_messages = [{"role": "system", "content":
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for chat_pair in history:
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api_messages.append({"role": "user", "content": chat_pair["u"]})
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api_messages.append({"role": "assistant", "content": chat_pair["a"]})
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# app.py - FINAL VERSION WITH LANGUAGE DETECTION
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import os
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import uvicorn
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import json
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app = FastAPI()
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client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
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# Configuration & Persistent Memory Setup
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USERNAME = "Sanjay"
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MEMORY_FILE = "memory.json"
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except Exception as e:
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print(f"Memory Save Error: {e}")
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# UI REMAINS EXACTLY SAME
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HTML_UI = '''
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<!DOCTYPE html>
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<html lang="en">
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@app.post("/chat")
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async def chat(message: str = Form(...)):
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# ✅ LANGUAGE DETECTION
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from language_detector import detect_input_language, get_system_prompt
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lang_mode = detect_input_language(message)
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system_prompt = get_system_prompt(lang_mode, USERNAME)
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memory_data = load_memory()
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history = memory_data.get("history", [])[-10:]
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api_messages = [{"role": "system", "content": system_prompt}]
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for chat_pair in history:
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api_messages.append({"role": "user", "content": chat_pair["u"]})
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api_messages.append({"role": "assistant", "content": chat_pair["a"]})
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