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app.py

@@ -19,11 +19,11 @@ def infer(image, best_max_flavors):
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown("# CLIP Interrogator\nThe demo is part of [panna](https://github.com/abacws-abacus/panna) project.")
+        gr.Markdown("# CLIP Interrogator\nThe demo is part of [panna](https://github.com/asahi417/panna) project.")
         input_image = gr.Image(type='pil')
         with gr.Row():
             flavor_input = gr.Slider(minimum=2, maximum=48, step=2, value=32, label='best mode max flavors')
         run_button = gr.Button("Submit")
         output_text = gr.Textbox(label="Description Output")
     run_button.click(fn=infer, inputs=[input_image, flavor_input], outputs=[output_text], concurrency_limit=10)
-demo.launch()
+demo.launch(server_name="0.0.0.0")

requirements.txt

@@ -1,6 +1,7 @@
 --extra-index-url https://download.pytorch.org/whl/cu113
+git+https://github.com/rwightman/pytorch-image-models.git
 torch
 torchvision
 spaces
 clip-interrogator
-panna
+panna>=0.0.4