Merge branch 'main' of hf.co:spaces/Intel/powered_by_intel_leaderboard

app.py

@@ -81,33 +81,33 @@ with demo:
                     break
                 response += char
                 yield [(f"🤖 Response from LLM: {chat_model_selection}", response)]  # Correct format for Gradio Chatbot
-
-        with gr.Blocks() as chat_interface:
-            chatbot = gr.Chatbot()
-            msg = gr.Textbox()
-            submit = gr.Button("Submit")
-            clear = gr.Button("Clear")
-
-            def user(user_message, history):
-                return "", history + [[user_message, None]]
-
-            def clear_chat(*args):
-                return []  # Returning an empty list to signify clearing the chat, adjust as per Gradio's capabilities
-
-            submit.click(
-                fn=get_response,
-                inputs=[msg, chatbot],
-                outputs=chatbot
-            )
-
-            clear.click(
-                fn=clear_chat,
-                inputs=None,
-                outputs=chatbot
-            )
-            
-        chat_interface.queue()
-        chat_interface.launch()
+#
+       #with gr.Blocks() as chat_interface:
+       #    chatbot = gr.Chatbot()
+       #    msg = gr.Textbox()
+       #    submit = gr.Button("Submit")
+       #    clear = gr.Button("Clear")
+#
+       #    def user(user_message, history):
+       #        return "", history + [[user_message, None]]
+#
+       #    def clear_chat(*args):
+       #        return []  # Returning an empty list to signify clearing the chat, adjust as per Gradio's capabilities
+#
+       #    submit.click(
+       #        fn=get_response,
+       #        inputs=[msg, chatbot],
+       #        outputs=chatbot
+       #    )
+#
+       #    clear.click(
+       #        fn=clear_chat,
+       #        inputs=None,
+       #        outputs=chatbot
+       #    )
+       #    
+       #chat_interface.queue()
+       #chat_interface.launch()
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
         with gr.TabItem("🏆 LLM Leadeboard", elem_id="llm-benchmark-table", id=0):

requirements.txt

@@ -1,2 +0,0 @@
-gradio==4.16.0
-pandas==2.0.3