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README.md

@@ -5,7 +5,6 @@ colorFrom: green
 colorTo: gray
 sdk: gradio
 sdk_version: 4.19.2
-python_version: 3.11
 app_file: app.py
 pinned: false
 license: mit

app.py

@@ -21,25 +21,25 @@ def load_cached_video(video_file, dataset, lora, size):
         print(output)
         raise gr.Error("This combination of video and model has not been cached. Try one of the listed examples instead.")
 
-    gr.Warning("This interface is running on CPU. Only cached generated examples are displayed here, no new music is generated. Please be patient, as the videos meight take a while to download.")
+    gr.Warning("This interface is running on CPU. Only cached generated examples are displayed here, no new music is generated. Please be patient, as the videos might take a while to download.")
     print("Displaying video: " + output)
     return output
 
 with gr.Blocks() as demo:
-    gr.Markdown('**WARNING**: <span style="color:orange">Multiple video examples have to be downloaded for this UI to work properly. Please be patient, as this meight take a moment.</span>')
+    gr.Markdown('**WARNING**: <span style="color:orange">Multiple video examples have to be downloaded first to use this UI properly. Please be patient, as the videos meight take a moment to download.</span>')
     gr.Interface(fn=load_cached_video,
                          inputs=[
-                                 gr.Video(value="videos/n_5.mp4",
+                                 gr.Video(value="./videos/n_5.mp4",
                                           label="Original Video",
                                           min_length=5,
+                                          interactive=False,
                                           max_length=20,
-                                          sources=[],
                                           show_download_button=True,
-                                          include_audio=True, 
-                                          mirror_webcam=False
+                                          include_audio=True
                                           ),
                                  gr.Radio(["nature", "symmv"],
                                           value="nature",
+                                          interactive=False,
                                           label="Available Models",
                                           info="Choose one of the datasets on which the models has been trained on. Nature is a dataset of calm and relaxing sounds, symmv contains charts music. The model will generate audio that is similar to the training data."
                                           ),