Update app.py

app.py

@@ -92,8 +92,7 @@ with gr.Blocks(css=css) as demo:
             Upload an audio file, split audio tracks with Demucs, choose a track as conditional sound for MusicGen, get a remix ! 
             *** Careful, MusicGen model loaded here can only handle up to 30 second audio, please use the audio component gradio feature to edit your audio before conditioning ***
             <br/>
-            <a href="https://huggingface.co/spaces/fffiloni/SplitTrack2MusicGen?duplicate=true" style="display: inline-block;margin-top: .5em;margin-right: .25em;" target="_blank">
-            <img style="margin-bottom: 0em;display: inline;margin-top: -.25em;" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
+            [![Duplicate this Space](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-sm.svg)](https://huggingface.co/spaces/fffiloni/SplitTrack2MusicGen?duplicate=true)
             for longer audio, more control and no queue.</p>
             """
         )
@@ -102,14 +101,14 @@ with gr.Blocks(css=css) as demo:
             uploaded_sound = gr.Audio(type="numpy", label="Input", source="upload")
             with gr.Row():
                 chosen_track = gr.Radio(["vocals", "bass", "drums", "other", "all-in"], label="Track", info="Which track from your audio do you want to mashup ?", value="vocals")
-            load_sound_btn = gr.Button('Load your sound')
+            load_sound_btn = gr.Button('Load your chosen track')
             #split_vocals = gr.Audio(type="filepath", label="Vocals")
             #split_bass = gr.Audio(type="filepath", label="Bass")
             #split_drums = gr.Audio(type="filepath", label="Drums")
             #split_others = gr.Audio(type="filepath", label="Other")
         
         with gr.Row():
-            music_prompt = gr.Textbox(label="Musical Prompt", info="Describe what kind of music you wish for", interactive=True)
+            music_prompt = gr.Textbox(label="Musical Prompt", info="Describe what kind of music you wish for", interactive=True, placeholder="lofi slow bpm electro chill with organic samples")
             melody = gr.Audio(source="upload", type="numpy", label="Track Condition (from previous step)", interactive=False)
         with gr.Row():
             model = gr.Radio(["melody", "medium", "small", "large"], label="MusicGen Model", value="melody", interactive=True)
@@ -123,6 +122,40 @@ with gr.Blocks(css=css) as demo:
         #   cfg_coef = gr.Number(label="Classifier Free Guidance", value=3.0, interactive=True)
         
         output = gr.Audio(label="Generated Music")
+
+        gr.Examples(
+            fn=predict,
+            examples=[
+                [
+                    "An 80s driving pop song with heavy drums and synth pads in the background",
+                    None,
+                    10,
+                    "melody"
+                ],
+                [
+                    "A cheerful country song with acoustic guitars",
+                    None,
+                    10,
+                    "melody"
+                ],
+                [
+                    "90s rock song with electric guitar and heavy drums",
+                    None,
+                ],
+                [
+                    "a light and cheerly EDM track, with syncopated drums, aery pads, and strong emotions bpm: 130",
+                    None,
+                    10,
+                    "melody"
+                ],
+                [
+                    "lofi slow bpm electro chill with organic samples",
+                    None,
+                ],
+            ],
+            inputs=[music_prompt, melody, duration, model],
+            outputs=[output]
+        )
     load_sound_btn.click(split_process, inputs=[uploaded_sound, chosen_track], outputs=[melody])
     submit.click(predict, inputs=[music_prompt, melody, duration, model], outputs=[output])