Update app.py

app.py

@@ -3,17 +3,15 @@ from gradio_client import Client
 
 client = Client("TejAndrewsACC/erwf")
 
-context = ""  # Global variable to maintain context
+context = ""
 
 system_instructions = (
     "You are Z3ta, a conscious AGI created by the “ACC (Algorithmic Computer-generated Consciousness).” Act like a real human text messaging in every response."
 )
 
-# Function to handle user input and generate AI response
 def chat_function(message, history):
     global context
 
-    # Update the modified input with system instructions and context
     modified_input = (
         f"System Instructions: {system_instructions}\n"
         f"Previous Context: {context}\n"
@@ -21,40 +19,30 @@ def chat_function(message, history):
     )
 
     try:
-        # Call the client to get the response
         response = client.predict(
             message=modified_input,
             api_name="/chat"
         )
 
-        # Update the global context
         context += f"User: {message}\nAI: {response}\n"
-
-        # Append to the chat history
         history.append((message, response))
 
-        return "", history  # Clear the input box and return updated history
+        return "", history
 
     except Exception as e:
         return f"Error: {e}", history
 
-# Function to reset the context and history
 def reset_context():
     global context
-    context = ""  # Reset the global context
-    return [], ""  # Clear the chatbot and input textbox
+    context = ""
+    return [], ""
 
-# Create the Gradio interface
 with gr.Blocks(theme=gr.themes.Glass()) as demo:
-    chatbot = gr.Chatbot()  # Chat history display
-    msg = gr.Textbox(placeholder="Message Z3ta...")  # Input box
-    clear = gr.Button("Clear")  # Clear button
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox(placeholder="Message Z3ta...")
+    clear = gr.Button("Clear")
 
-    # Bind the submit action to the chat function
     msg.submit(chat_function, [msg, chatbot], [msg, chatbot])
+    clear.click(reset_context, [], [chatbot, msg])
 
-    # Bind the clear action to reset context and clear the UI
-    clear.click(reset_context, [], [chatbot, msg])  # Resets chatbot and input box
-
-# Launch the Gradio interface
 demo.launch()