init

app.py

@@ -32,14 +32,29 @@ You will ask the customer a single question at a time, which is relevant, and yo
 model_path = "gemini-1.5-flash"
 FoodSafetyAssistant = genai.GenerativeModel(model_path, system_instruction=system_instruction)
 
+# Track chat history globally
+chat_history = []
+
 # Define the function to handle the chat
-def respond(usertxt, chat_history=[]):
+def respond(usertxt, chat_history):
+    # Initialize chat with the previous history
     chat = FoodSafetyAssistant.start_chat(history=chat_history)
+    
+    # Get response from the assistant
     response = chat.send_message(usertxt)
-    return response.text
+    
+    # Append both user input and response to the chat history for context in the next interaction
+    chat_history.append({"role": "user", "content": usertxt})
+    chat_history.append({"role": "assistant", "content": response.text})
+    
+    return response.text, chat_history
 
 # Gradio interface
-demo = gr.ChatInterface(fn=respond)
+def gradio_chat(usertxt, chat_history):
+    response, updated_history = respond(usertxt, chat_history)
+    return response, updated_history
+
+demo = gr.ChatInterface(fn=gradio_chat, inputs="text", outputs=["text", "state"])
 
 # Launch the Gradio app
 if __name__ == "__main__":