Remove unused components

gradio_demo.py

@@ -412,7 +412,7 @@ def restore(
     print(information)
 
     # Only one image can be shown in the slider
-    return [input_image] + [results[0]], gr.update(format = output_format, value = [input_image] + results), gr.update(value = information, visible = True), event_id
+    return [input_image] + [results[0]], gr.update(format = output_format, value = [input_image] + results), gr.update(value = information, visible = True)
 
 def load_and_reset(param_setting):
     print('load_and_reset ==>>')
@@ -482,8 +482,8 @@ title_html = """
     The content added by SUPIR is <b><u>imagination, not real-world information</u></b>.
     The aim of SUPIR is the beauty and the illustration.
     Most of the processes only last few minutes.
-    This demo can handle huge images but the process will be aborted if it lasts more than 10 min.
-    Please leave a message in discussion if you encounter issues.
+    This demo can handle huge images but the process will be aborted if it lasts more than 8 min.
+    Please <a href="https://huggingface.co/spaces/Fabrice-TIERCELIN/SUPIR/discussions/new">leave a message in discussion</a> if you encounter issues.
     
     <p><center><a href="https://arxiv.org/abs/2401.13627">Paper</a> &emsp; <a href="http://supir.xpixel.group/">Project Page</a> &emsp; <a href="https://huggingface.co/blog/MonsterMMORPG/supir-sota-image-upscale-better-than-magnific-ai">Local Install Guide</a></center></p>
     """
@@ -528,11 +528,6 @@ with gr.Blocks(title="SUPIR") as interface:
         denoise_image = gr.Image(label="Denoised image", show_label=True, type="numpy", sources=[], height=600, elem_id="image-s1")
         denoise_information = gr.HTML(value="If present, the denoised image will be used for the restoration instead of the input image.", visible=False)
 
-    with gr.Accordion("LLaVA options", open=False, visible=False):
-        temperature = gr.Slider(label="Temperature", info = "lower=Always similar, higher=More creative", minimum=0., maximum=1.0, value=0.2, step=0.1)
-        top_p = gr.Slider(label="Top P", info = "Percent of tokens shortlisted", minimum=0., maximum=1.0, value=0.7, step=0.1)
-        qs = gr.Textbox(label="Question", info="Ask LLaVa what description you want", value="Describe the image and its style in a very detailed manner. The image is a realistic photography, not an art painting.", lines=3)
-
     with gr.Accordion("Advanced options", open=False):
         a_prompt = gr.Textbox(label="Additional image description",
                               info="Completes the main image description",
@@ -588,20 +583,12 @@ with gr.Blocks(title="SUPIR") as interface:
             restart_button = gr.Button(value="Apply presetting")
 
     with gr.Group():
-        llave_button = gr.Button(value="Generate description by LlaVa (disabled)", visible=False)
-
         diffusion_button = gr.Button(value="🚀 Upscale/Restore", variant = "primary", elem_id="process_button")
 
-        restore_information = gr.HTML(value="Restart the process to get another result.", visible=False)
+        restore_information = gr.HTML(value="Restart the process to get another result.", visible = False)
         result_slider = ImageSlider(label='Output', show_label=True, elem_id="slider1")
         result_gallery = gr.Gallery(label='Output', show_label=True, elem_id="gallery1")
 
-    with gr.Accordion("Feedback", open=True, visible=False):
-        fb_score = gr.Slider(label="Feedback Score", minimum=1, maximum=5, value=3, step=1, interactive=True)
-        fb_text = gr.Textbox(label="Feedback Text", value="", placeholder='Please enter your feedback here.')
-        submit_button = gr.Button(value="Submit Feedback")
-        event_id = gr.Textbox(label="Event ID", value="", visible=False)
-
     gr.Examples(
         run_on_click = True,
         fn = stage2_process,
@@ -639,8 +626,7 @@ with gr.Blocks(title="SUPIR") as interface:
 	    outputs = [
             result_slider,
             result_gallery,
-            restore_information,
-            event_id
+            restore_information
         ],
         examples = [
                 [
@@ -672,7 +658,7 @@ with gr.Blocks(title="SUPIR") as interface:
                     0.,
                     "v0-Q",
                     "png",
-                    6
+                    5
                 ],
                 [
                     "./Examples/Example2.jpeg",
@@ -703,7 +689,7 @@ with gr.Blocks(title="SUPIR") as interface:
                     0.,
                     "v0-Q",
                     "png",
-                    6
+                    4
                 ],
             ],
         cache_examples = False,
@@ -768,8 +754,7 @@ with gr.Blocks(title="SUPIR") as interface:
     ], outputs = [
         result_slider,
         result_gallery,
-        restore_information,
-        event_id
+        restore_information
     ]).success(fn = log_information, inputs = [
         result_gallery
     ], outputs = [], queue = False, show_progress = False)