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app.py

@@ -1,20 +1,23 @@
 
-######################## FINAL APP.PY #########################
-#07032025
-# import gradio as gr
+######################## FINAL APP.PY (Streamlit Version) #########################
+# 07032025
+
 import streamlit as st
 from datetime import datetime
 from typing import Dict, List
 import os
 import json
 
+# ✅ Fix for Hugging Face write permission
+os.environ["MEM0_HOME"] = "./.mem0"
+
 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
 
-# Load config from local JSON file
-with open("/content/drive/MyDrive/Generative AI/Project 3/config.json") as f:
+# ✅ Update: Use local config path (not Colab path)
+with open("config.json") as f:
     config = json.load(f)
 
 # Optional placeholder if agentic_rag is not defined
@@ -81,21 +84,22 @@ class NutritionBot:
         self.store_customer_interaction(user_id, query, response["output"], metadata={"type": "support_query"})
         return response["output"]
 
-# ------------------------ Gradio Interface ------------------------
-bot = NutritionBot()
-
-def respond(user_id, query):
-    return bot.handle_customer_query(user_id, query)
-
-interface = gr.Interface(
-    fn=respond,
-    inputs=[
-        gr.Textbox(label="User ID", placeholder="Enter your name or ID"),
-        gr.Textbox(label="Query", placeholder="Ask about a nutrition disorder...")
-    ],
-    outputs=gr.Textbox(label="Agent Response"),
-    title="Nutrition Disorder Specialist Agent",
-    description="Ask me anything about nutrition-related health issues, treatments, and recommendations!"
-)
-
-interface.launch()
+# ------------------------ Streamlit Interface ------------------------
+
+st.set_page_config(page_title="Nutrition Disorder Specialist Agent")
+st.title("🩺 Nutrition Disorder Specialist Agent")
+st.write("Ask anything about nutrition-related disorders, treatments, or dietary recommendations.")
+
+user_id = st.text_input("👤 User ID", placeholder="Enter your name or ID")
+query = st.text_area("💬 Your Question", placeholder="Ask about a nutrition disorder...")
+
+if st.button("🔍 Submit") and user_id and query:
+    with st.spinner("Thinking..."):
+        bot = NutritionBot()
+        try:
+            response = bot.handle_customer_query(user_id, query)
+            st.success("✅ Agent Response:")
+            st.write(response)
+        except Exception as e:
+            st.error("❌ Error occurred while processing your request.")
+            st.text(str(e))