update port

app.py

@@ -153,15 +153,9 @@ def reset_state():
 with gr.Blocks(scale=4) as demo:
     gr.HTML("""<h1 align="center">PandaGPT</h1>""")
 
-    with gr.Row(scale=4):
+    with gr.Row(scale=1):
         with gr.Column(scale=1):
             image_path = gr.Image(type="filepath", label="Image", value=None)
-        # with gr.Column(scale=1):
-        #     audio_path = gr.Audio(type="filepath", label="Audio", value=None)
-        # with gr.Column(scale=1):
-        #     video_path = gr.Video(type='file', label="Video")
-        # with gr.Column(scale=1):
-        #     thermal_path = gr.Image(type="filepath", label="Thermal Image", value=None)
 
     chatbot = gr.Chatbot().style(height=300)
     with gr.Row():
@@ -186,9 +180,6 @@ with gr.Blocks(scale=4) as demo:
         predict, [
             user_input, 
             image_path, 
-            # audio_path, 
-            # video_path, 
-            # thermal_path, 
             chatbot, 
             max_length, 
             top_p, 
@@ -207,9 +198,6 @@ with gr.Blocks(scale=4) as demo:
         re_predict, [
             user_input, 
             image_path, 
-            # audio_path, 
-            # video_path, 
-            # thermal_path, 
             chatbot, 
             max_length, 
             top_p, 
@@ -227,12 +215,9 @@ with gr.Blocks(scale=4) as demo:
     submitBtn.click(reset_user_input, [], [user_input])
     emptyBtn.click(reset_state, outputs=[
         image_path,
-        # audio_path,
-        # video_path,
-        # thermal_path,
         chatbot, 
         history, 
         modality_cache
     ], show_progress=True)
 
-demo.queue().launch(share=False, inbrowser=True, server_name='0.0.0.0', server_port=10050)
+demo.queue().launch(enable_queue=True)