Comma

app.py

@@ -1,41 +1,41 @@
-import gradio as gr
-
-from infer import infer_image, infer_video
-
-input_image = gr.Image(type='pil', label='Input Image')
-input_model_image = gr.Radio([('x2', 2), ('x4', 4), ('x8', 8)], type="value", value=4, label="Model Upscale/Enhance Type")
-submit_image_button = gr.Button('Submit')
-output_image = gr.Image(type="filepath", label="Output Image")
-
-tab_img = gr.Interface(
-    fn=infer_image,
-    inputs=[input_image, input_model_image],
-    outputs=output_image,
-    title="Real-ESRGAN Pytorch",
-    description="Gradio UI for Real-ESRGAN Pytorch version. To use it, simply upload your image and choose the model. Read more at the links below. Please click submit only once <br>Credits: [Nick088](https://linktr.ee/Nick088), Xinntao, Tencent, Geeve George, ai-forever, daroche <br><p style='text-align: center'><a href='https://github.com/Nick088/Real-ESRGAN_Pytorch'>Github Repo</a></p>"
-)
-
-input_video = gr.Video(label='Input Video')
-input_model_video = gr.Radio([('x2', 2), ('x4', 4), ('x8', 8)], type="value", value=2, label="Model Upscale/Enhance Type")
-submit_video_button = gr.Button('Submit')
-output_video = gr.Video(label='Output Video')
-
-tab_vid = gr.Interface(
-    fn=infer_video,
-    inputs=[input_video, input_model_video],
-    outputs=output_video,
-    title="Real-ESRGAN Pytorch",
-    description="Gradio UI for Real-ESRGAN Pytorch version. To use it, simply upload your video and choose the model. Read more at the links below. Please click submit only once <br>Credits: [Nick088](https://linktr.ee/Nick088), Xinntao, Tencent, Geeve George, ai-forever, daroche <br><p style='text-align: center'><a href='https://arxiv.org/abs/2107.10833'>Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data</a> | <a href='https://github.com/ai-forever/Real-ESRGAN'>Github Repo</a></p>"
-    examples=[
-        [
-            "RealESRGAN_examples/Example1.mp4",
-            2
-        ]
-    ],
-    cache_examples=True,
-    cache_mode='lazy',
-)
-
-demo = gr.TabbedInterface([tab_img, tab_vid], ["Image", "Video"])
-
+import gradio as gr
+
+from infer import infer_image, infer_video
+
+input_image = gr.Image(type='pil', label='Input Image')
+input_model_image = gr.Radio([('x2', 2), ('x4', 4), ('x8', 8)], type="value", value=4, label="Model Upscale/Enhance Type")
+submit_image_button = gr.Button('Submit')
+output_image = gr.Image(type="filepath", label="Output Image")
+
+tab_img = gr.Interface(
+    fn=infer_image,
+    inputs=[input_image, input_model_image],
+    outputs=output_image,
+    title="Real-ESRGAN Pytorch",
+    description="Gradio UI for Real-ESRGAN Pytorch version. To use it, simply upload your image and choose the model. Read more at the links below. Please click submit only once <br>Credits: [Nick088](https://linktr.ee/Nick088), Xinntao, Tencent, Geeve George, ai-forever, daroche <br><p style='text-align: center'><a href='https://github.com/Nick088/Real-ESRGAN_Pytorch'>Github Repo</a></p>"
+)
+
+input_video = gr.Video(label='Input Video')
+input_model_video = gr.Radio([('x2', 2), ('x4', 4), ('x8', 8)], type="value", value=2, label="Model Upscale/Enhance Type")
+submit_video_button = gr.Button('Submit')
+output_video = gr.Video(label='Output Video')
+
+tab_vid = gr.Interface(
+    fn=infer_video,
+    inputs=[input_video, input_model_video],
+    outputs=output_video,
+    title="Real-ESRGAN Pytorch",
+    description="Gradio UI for Real-ESRGAN Pytorch version. To use it, simply upload your video and choose the model. Read more at the links below. Please click submit only once <br>Credits: [Nick088](https://linktr.ee/Nick088), Xinntao, Tencent, Geeve George, ai-forever, daroche <br><p style='text-align: center'><a href='https://arxiv.org/abs/2107.10833'>Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data</a> | <a href='https://github.com/ai-forever/Real-ESRGAN'>Github Repo</a></p>",
+    examples=[
+        [
+            "RealESRGAN_examples/Example1.mp4",
+            2
+        ]
+    ],
+    cache_examples=True,
+    cache_mode='lazy',
+)
+
+demo = gr.TabbedInterface([tab_img, tab_vid], ["Image", "Video"])
+
 demo.launch(debug=True, show_error=True, share=True)