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app.py

@@ -4,24 +4,22 @@
 import gradio as gr
 from datetime import datetime
 from typing import Dict, List
+import os
+import json
 
 from mem0 import MemoryClient
 from langchain_core.prompts import ChatPromptTemplate
 from langchain.agents import create_tool_calling_agent, AgentExecutor
 from langchain.chat_models import ChatOpenAI
-import json
 
 # Load config from local JSON file
 with open("/content/drive/MyDrive/Generative AI/Project 3/config.json") as f:
     config = json.load(f)
 
-# Optional: If agentic_rag is in a separate file, import it
-# from agentic_rag_workflow import agentic_rag
-
 # ------------------------ Define NutritionBot ------------------------
 class NutritionBot:
     def __init__(self):
-        self.memory = MemoryClient(api_key=config.get("API_KEY"))
+        self.memory = MemoryClient(api_key=os.getenv("MEM0_API_KEY", "m0-qYbYxa325DtWw8cJoEZyWivE9HMPY74hfX5UHdVl"))
 
         self.client = ChatOpenAI(
             model_name="gpt-4o-mini",
@@ -32,8 +30,7 @@ class NutritionBot:
 
         tools = [agentic_rag]  # Make sure agentic_rag is defined or imported
 
-        system_prompt = """You are a caring and knowledgeable Medical Support Agent, specializing in nutrition disorder-related guidance. Your goal is to provide accurate, empathetic, and tailored nutritional recommendations while ensuring a seamless customer experience.
-        """
+        system_prompt = """You are a caring and knowledgeable Medical Support Agent, specializing in nutrition disorder-related guidance. Your goal is to provide accurate, empathetic, and tailored nutritional recommendations while ensuring a seamless customer experience."""
 
         prompt = ChatPromptTemplate.from_messages([
             ("system", system_prompt),