Update app.py

app.py

@@ -1,17 +1,48 @@
-
 import gradio as gr
-import time
+from phi.agent import Agent
+from phi.model.groq import Groq
+import os
+import logging
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# API Key setup
+api_key = os.getenv("GROQ_API_KEY")
+if not api_key:
+    gr.Warning("GROQ_API_KEY not found. Set it in 'Repository secrets'.")
+    logger.error("GROQ_API_KEY not found.")
+    api_key = ""  # Fallback to empty string, but this will fail without a key
+else:
+    os.environ["GROQ_API_KEY"] = api_key
+
+# Initialize PhiData Agent
+agent = Agent(
+    model=Groq(model="llama3-70b-8192", api_key=api_key),
+    instructions=[
+        "You are a helpful assistant designed to answer questions on various topics.",
+        "Provide concise and accurate responses.",
+        "If you don't know the answer, say 'I don’t have enough information to answer that.'"
+    ],
+    markdown=True
+)
 
 def simple_chat_function(message, history):
-    """Simplified chat function for testing"""
+    """Chat function with PhiData agent integration"""
     if not message.strip():
         return "", history
     
-    # Your response generation logic here
-    response = f"You asked: {message}"  # Replace with your actual logic
-    
+    # Generate response using PhiData agent
+    try:
+        response = agent.run(message)
+        response_text = response.content if hasattr(response, 'content') else "Error generating response."
+    except Exception as e:
+        logger.error(f"Agent error: {e}")
+        response_text = "Sorry, there was an error processing your request."
+
     # Add to history
-    history.append([message, response])
+    history.append([message, response_text])
     
     return "", history
 
@@ -25,4 +56,31 @@ with gr.Blocks() as demo:
     clear.click(lambda: ([], ""), outputs=[chatbot, msg])
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()
+# import gradio as gr
+# import time
+
+# def simple_chat_function(message, history):
+#     """Simplified chat function for testing"""
+#     if not message.strip():
+#         return "", history
+    
+#     # Your response generation logic here
+#     response = f"You asked: {message}"  # Replace with your actual logic
+    
+#     # Add to history
+#     history.append([message, response])
+    
+#     return "", history
+
+# # Minimal working interface
+# with gr.Blocks() as demo:
+#     chatbot = gr.Chatbot()
+#     msg = gr.Textbox(placeholder="Type your message here...")
+#     clear = gr.Button("Clear")
+
+#     msg.submit(simple_chat_function, [msg, chatbot], [msg, chatbot])
+#     clear.click(lambda: ([], ""), outputs=[chatbot, msg])
+
+# if __name__ == "__main__":
+#     demo.launch()