test

app.py

@@ -110,47 +110,47 @@ with gr.Blocks() as demo:
                 )
                 ex.dataset.show_label = False
 
-        with gr.Column(scale=2):
-            chat_interface = gr.ChatInterface(fn=model_inference,
-                type="messages",
-                chatbot=gr.Chatbot(type="messages", label="AI", render_markdown=True, sanitize_html=False, allow_tags=True, height='35vw', container=False, show_share_button=False),
-                textbox=textbox,
-                additional_inputs=image_input,
-                multimodal=False,
-                fill_height=False,
-                show_api=False,
-                )
-            gr.HTML('<span style="color:lightgray">Start with a full prompt: Find abnormalities and support devices.<br>\
-                Follow up with additial questions, such as Provide differentials or Write a structured report.<br>')
-
-
-
-        # Clear chat history when an example is selected (keep example-populated inputs intact)
-        ex.load_input_event.then(
-                lambda: ([], [], [], None),
-                None,
-                [chat_interface.chatbot, chat_interface.chatbot_state, chat_interface.chatbot_value, chat_interface.saved_input],
-                queue=False,
-                show_api=False,
-            )
+        # with gr.Column(scale=2):
+        #     chat_interface = gr.ChatInterface(fn=model_inference,
+        #         type="messages",
+        #         chatbot=gr.Chatbot(type="messages", label="AI", render_markdown=True, sanitize_html=False, allow_tags=True, height='35vw', container=False, show_share_button=False),
+        #         textbox=textbox,
+        #         additional_inputs=image_input,
+        #         multimodal=False,
+        #         fill_height=False,
+        #         show_api=False,
+        #         )
+        #     gr.HTML('<span style="color:lightgray">Start with a full prompt: Find abnormalities and support devices.<br>\
+        #         Follow up with additial questions, such as Provide differentials or Write a structured report.<br>')
+
+
+
+        # # Clear chat history when an example is selected (keep example-populated inputs intact)
+        # ex.load_input_event.then(
+        #         lambda: ([], [], [], None),
+        #         None,
+        #         [chat_interface.chatbot, chat_interface.chatbot_state, chat_interface.chatbot_value, chat_interface.saved_input],
+        #         queue=False,
+        #         show_api=False,
+        #     )
                
-        # Clear chat history when a new image is uploaded via the image input
-        image_input.upload(
-                lambda: ([], [], [], None, DEFAULT_PROMPT),
-                None,
-                [chat_interface.chatbot, chat_interface.chatbot_state, chat_interface.chatbot_value, chat_interface.saved_input, textbox],
-                queue=False,
-                show_api=False,
-            )
-
-        # Clear everything on Clear button click
-        clear_btn.click(
-                lambda: ([], [], [], None, "", None),
-                None,
-                [chat_interface.chatbot, chat_interface.chatbot_state, chat_interface.chatbot_value, chat_interface.saved_input, textbox, image_input],
-                queue=False,
-                show_api=False,
-            )
+        # # Clear chat history when a new image is uploaded via the image input
+        # image_input.upload(
+        #         lambda: ([], [], [], None, DEFAULT_PROMPT),
+        #         None,
+        #         [chat_interface.chatbot, chat_interface.chatbot_state, chat_interface.chatbot_value, chat_interface.saved_input, textbox],
+        #         queue=False,
+        #         show_api=False,
+        #     )
+
+        # # Clear everything on Clear button click
+        # clear_btn.click(
+        #         lambda: ([], [], [], None, "", None),
+        #         None,
+        #         [chat_interface.chatbot, chat_interface.chatbot_state, chat_interface.chatbot_value, chat_interface.saved_input, textbox, image_input],
+        #         queue=False,
+        #         show_api=False,
+        #     )