Update app.py

app.py

@@ -2,12 +2,12 @@ import gradio as gr
 from transformers import pipeline
 
 # Function to generate text based on the model
-def chatbot(user_input, history, max_length=50, temperature=1.0):
+def chatbot(user_input, history):
     # Load the selected model (using a hard-coded model for now)
     model = pipeline("text-generation", model="google/mt5-base")
     
     # Get the model's response
-    response = model(user_input, max_length=max_length, temperature=temperature)[0]["generated_text"]
+    response = model(user_input, max_length=50, temperature=1.0)[0]["generated_text"]
     
     # Append the user input and model's response to the history
     history.append({"role": "user", "content": user_input})
@@ -33,16 +33,10 @@ def create_chat_interface():
             with gr.Column(scale=0.1):
                 send_button = gr.Button("📤", elem_id="send_button", scale=1)
         
-        # Define settings menu, initially hidden
-        with gr.Accordion("Settings", open=False) as settings:
-            with gr.Column():
-                max_length = gr.Slider(minimum=10, maximum=200, value=50, label="Max Length")
-                temperature = gr.Slider(minimum=0.1, maximum=2.0, step=0.1, value=1.0, label="Temperature")
-
         # Connect the input to the chatbot function via the Send button
         send_button.click(
             chatbot,
-            inputs=[user_input, chatbot_component, max_length, temperature],
+            inputs=[user_input, chatbot_component],
             outputs=chatbot_component,
         )