feat: Introduce .gitignore and requirements.txt, rename bot_response to model_inference for clarity, and disable demo sharing option.

.gitignore

@@ -0,0 +1 @@
+.gradio/certificate.pem

app.py

@@ -44,7 +44,7 @@ def save_feedback(model_name, history, feedback_data: gr.LikeData):
     
     print(f"Feedback logged for {model_name}")
 
-def bot_response(user_message, history, model_name, system_message, max_tokens, temperature, top_p, oauth_token: gr.OAuthToken | None, local_endpoint: str):
+def model_inference(user_message, history, model_name, system_message, max_tokens, temperature, top_p, oauth_token: gr.OAuthToken | None, local_endpoint: str):
     if not user_message or user_message.strip() == "":
         yield history, ""
         return
@@ -122,24 +122,24 @@ with gr.Blocks() as demo:
             model_a_name = gr.Dropdown(MODELS, label="Model A", value=MODELS[0])
             chatbot_a = gr.Chatbot(label="Model A Output")
             msg_a = gr.Textbox(placeholder="Send message to Model A...", label="Model A Input")
-            btn_a = gr.Button("Send to Model A")
+            # btn_a = gr.Button("Send to Model A")
 
         # --- Model B ---
         with gr.Column():
             model_b_name = gr.Dropdown(MODELS, label="Model B", value=MODELS[1])
             chatbot_b = gr.Chatbot(label="Model B Output")
             msg_b = gr.Textbox(placeholder="Send message to Model B...", label="Model B Input")
-            btn_b = gr.Button("Send to Model B")
+            # btn_b = gr.Button("Send to Model B")
 
     # --- Bind Events ---
     a_inputs = [msg_a, chatbot_a, model_a_name, system_msg, max_t, temp, top_p_val, local_endpoint_a]
-    msg_a.submit(bot_response, a_inputs, [chatbot_a, msg_a])
-    btn_a.click(bot_response, a_inputs, [chatbot_a, msg_a])
+    msg_a.submit(model_inference, a_inputs, [chatbot_a, msg_a])
+    # btn_a.click(model_inference, a_inputs, [chatbot_a, msg_a])
     chatbot_a.like(save_feedback, [model_a_name, chatbot_a], None)
 
     b_inputs = [msg_b, chatbot_b, model_b_name, system_msg, max_t, temp, top_p_val, local_endpoint_b]
-    msg_b.submit(bot_response, b_inputs, [chatbot_b, msg_b])
-    btn_b.click(bot_response, b_inputs, [chatbot_b, msg_b])
+    msg_b.submit(model_inference, b_inputs, [chatbot_b, msg_b])
+    # btn_b.click(model_inference, b_inputs, [chatbot_b, msg_b])
     chatbot_b.like(save_feedback, [model_b_name, chatbot_b], None)
     
 
@@ -153,4 +153,4 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch(share=True)
+    demo.launch(share=False)

requirements.txt

@@ -0,0 +1 @@
+gradio