, ["9 min", 9], ["10 min", 10]

gradio_demo.py

@@ -519,7 +519,7 @@ with gr.Blocks(title="SUPIR") as interface:
         prompt = gr.Textbox(label="Image description", info="Help the AI understand what the image represents; describe as much as possible, especially the details we can't see on the original image; I advise you to write in English because other languages may not be handled", value="", placeholder="A 33 years old man, walking, in the street, Santiago, morning, Summer, photorealistic", lines=3)
         prompt_hint = gr.HTML("You can use a <a href='"'https://huggingface.co/spaces/MaziyarPanahi/llava-llama-3-8b'"'>LlaVa space</a> to auto-generate the description of your image.")
         upscale = gr.Radio([["x1", 1], ["x2", 2], ["x3", 3], ["x4", 4], ["x5", 5], ["x6", 6], ["x7", 7], ["x8", 8]], label="Upscale factor", info="Resolution x1 to x8", value=2, interactive=True)
-        allocation = gr.Radio([["1 min", 1], ["2 min", 2], ["3 min", 3], ["4 min", 4], ["5 min", 5], ["6 min", 6], ["7 min", 7], ["8 min", 8], ["9 min", 9], ["10 min", 10]], label="GPU allocation time", info="lower=May abort run, higher=Quota penalty for next runs", value=6, interactive=True)
+        allocation = gr.Radio([["1 min", 1], ["2 min", 2], ["3 min", 3], ["4 min", 4], ["5 min", 5], ["6 min", 6], ["7 min", 7], ["8 min", 8]], label="GPU allocation time", info="lower=May abort run, higher=Quota penalty for next runs", value=6, interactive=True)
         output_format = gr.Radio([["*.png", "png"], ["*.webp", "webp"], ["*.jpeg", "jpeg"], ["*.gif", "gif"], ["*.bmp", "bmp"]], label="Image format for result", info="File extention", value="png", interactive=True)
 
     with gr.Accordion("Pre-denoising (optional)", open=False):
@@ -728,17 +728,6 @@ with gr.Blocks(title="SUPIR") as interface:
         denoise_information
     ])
 
-    llave_button.click(fn = check, inputs = [
-        denoise_image
-    ], outputs = [], queue = False, show_progress = False).success(fn = llave_process, inputs = [
-        denoise_image,
-        temperature,
-        top_p,
-        qs
-    ], outputs = [
-        prompt
-    ])
-
     diffusion_button.click(fn = update_seed, inputs = [
         randomize_seed,
         seed
@@ -805,13 +794,5 @@ with gr.Blocks(title="SUPIR") as interface:
         spt_linear_s_stage2,
         model_select
     ])
-
-    submit_button.click(fn = submit_feedback, inputs = [
-        event_id,
-        fb_score,
-        fb_text
-    ], outputs = [
-        fb_text
-    ])
         
     interface.queue(10).launch()