clear the ui

app.py

@@ -204,7 +204,11 @@ def ui_full(launch_kwargs):
             with gr.Column():
                 with gr.Row():
                     text = gr.Text(label="Input Text", interactive=True)
-                    
+                    # with gr.Column():
+                        # radio = gr.Radio(["file", "mic"], value="file",
+                        #                  label="Condition on a melody (optional) File or Mic")
+                        # melody = gr.Audio(source="upload", type="numpy", label="File",
+                        #                   interactive=True, elem_id="melody-input")
                 with gr.Row():
                     submit = gr.Button("Submit")
                     # Adapted from https://github.com/rkfg/audiocraft/blob/long/app.py, MIT license.
@@ -213,32 +217,107 @@ def ui_full(launch_kwargs):
                     model = gr.Radio(["facebook/musicgen-melody", "facebook/musicgen-medium", "facebook/musicgen-small",
                                       "facebook/musicgen-large"],
                                      label="Model", value="facebook/musicgen-melody", interactive=True)
-                with gr.Row():
-                    decoder = gr.Radio(["Default", "MultiBand_Diffusion"],
-                                       label="Decoder", value="Default", interactive=True)
-                with gr.Row():
-                    duration = gr.Slider(minimum=1, maximum=120, value=10, label="Duration", interactive=True)
-                with gr.Row():
-                    topk = gr.Number(label="Top-k", value=250, interactive=True)
-                    topp = gr.Number(label="Top-p", value=0, interactive=True)
-                    temperature = gr.Number(label="Temperature", value=1.0, interactive=True)
-                    cfg_coef = gr.Number(label="Classifier Free Guidance", value=3.0, interactive=True)
+                # with gr.Row():
+                #     decoder = gr.Radio(["Default", "MultiBand_Diffusion"],
+                #                        label="Decoder", value="Default", interactive=True)
+                # decoder = "Default"
+                # with gr.Row():
+                #     duration = gr.Slider(minimum=1, maximum=120, value=10, label="Duration", interactive=True)
+                # with gr.Row():
+                #     topk = gr.Number(label="Top-k", value=250, interactive=True)
+                #     topp = gr.Number(label="Top-p", value=0, interactive=True)
+                #     temperature = gr.Number(label="Temperature", value=1.0, interactive=True)
+                #     cfg_coef = gr.Number(label="Classifier Free Guidance", value=3.0, interactive=True)
+                
             with gr.Column():
                 output = gr.Video(label="Generated Music")
                 audio_output = gr.Audio(label="Generated Music (wav)", type='filepath')
-                diffusion_output = gr.Video(label="MultiBand Diffusion Decoder")
-                audio_diffusion = gr.Audio(label="MultiBand Diffusion Decoder (wav)", type='filepath')
+                # diffusion_output = gr.Video(label="MultiBand Diffusion Decoder")
+                # audio_diffusion = gr.Audio(label="MultiBand Diffusion Decoder (wav)", type='filepath')
+
+        melody = gr.Audio(source= None, type="numpy", label="File",
+                                    interactive=False, visible= False, elem_id="melody-input")
+        decoder = gr.Radio(["Default", "MultiBand_Diffusion"],
+                                       label="Decoder", value="Default", interactive=True, visible= False)
+        duration = gr.Slider(minimum=1, maximum=120, value=10, label="Duration", interactive=True, visible= False)
+        topk = gr.Number(label="Top-k", value=250, interactive=True, visible= False)
+        topp = gr.Number(label="Top-p", value=0, interactive=True, visible= False)
+        temperature = gr.Number(label="Temperature", value=1.0, interactive=True, visible= False)
+        cfg_coef = gr.Number(label="Classifier Free Guidance", value=3.0, interactive=True, visible= False)
+        diffusion_output = gr.Video(label="MultiBand Diffusion Decoder" , visible=False)
+        audio_diffusion = gr.Audio(label="MultiBand Diffusion Decoder (wav)", type='filepath', visible= False)
+        
+        print("melody", melody)
+        print("decoder", decoder)
+        print("topk", topk)
+        print("topp", topp)
+        print("cfg_coef", cfg_coef)
+        print("diffusion_output" , diffusion_output)
+        print("audio_diffusion" , audio_diffusion)
+        
         submit.click(toggle_diffusion, decoder, [diffusion_output, audio_diffusion], queue=False,
                      show_progress=False).then(predict_full, inputs=[model, decoder, text, melody, duration, topk, topp,
                                                                      temperature, cfg_coef],
                                                outputs=[output, audio_output, diffusion_output, audio_diffusion])
-        radio.change(toggle_audio_src, radio, [melody], queue=False, show_progress=False)
-        interface.queue().launch(**launch_kwargs)
+        # radio.change(toggle_audio_src, radio, [melody], queue=False, show_progress=False)
+        
+        # gr.Examples(
+        #     fn=predict_full,
+        #     examples=[
+        #         [
+        #             "An 80s driving pop song with heavy drums and synth pads in the background",
+        #             "./assets/bach.mp3",
+        #             "facebook/musicgen-melody",
+        #             "Default"
+        #         ],
+        #         [
+        #             "A cheerful country song with acoustic guitars",
+        #             "./assets/bolero_ravel.mp3",
+        #             "facebook/musicgen-melody",
+        #             "Default"
+        #         ],
+        #         [
+        #             "90s rock song with electric guitar and heavy drums",
+        #             None,
+        #             "facebook/musicgen-medium",
+        #             "Default"
+        #         ],
+        #         [
+        #             "a light and cheerly EDM track, with syncopated drums, aery pads, and strong emotions",
+        #             "./assets/bach.mp3",
+        #             "facebook/musicgen-melody",
+        #             "Default"
+        #         ],
+        #         [
+        #             "lofi slow bpm electro chill with organic samples",
+        #             None,
+        #             "facebook/musicgen-medium",
+        #             "Default"
+        #         ],
+        #         [
+        #             "Punk rock with loud drum and power guitar",
+        #             None,
+        #             "facebook/musicgen-medium",
+        #             "MultiBand_Diffusion"
+        #         ],
+        #     ],
+        #     inputs=[text, melody, model, decoder],
+        #     outputs=[output]
+        # )
+        gr.Markdown(
+            """
+            """
+        )
 
+        interface.queue().launch(**launch_kwargs)
 
 def ui_batched(launch_kwargs):
     with gr.Blocks() as demo:
-        
+        gr.Markdown(
+            """
+            This project generate Music from prompt.
+            """
+        )
         with gr.Row():
             with gr.Column():
                 with gr.Row():
@@ -256,6 +335,40 @@ def ui_batched(launch_kwargs):
         submit.click(predict_batched, inputs=[text, melody],
                      outputs=[output, audio_output], batch=True, max_batch_size=MAX_BATCH_SIZE)
         radio.change(toggle_audio_src, radio, [melody], queue=False, show_progress=False)
+        gr.Examples(
+            fn=predict_batched,
+            # examples=[
+            #     [
+            #         "An 80s driving pop song with heavy drums and synth pads in the background",
+            #         "./assets/bach.mp3",
+            #     ],
+            #     [
+            #         "A cheerful country song with acoustic guitars",
+            #         "./assets/bolero_ravel.mp3",
+            #     ],
+            #     [
+            #         "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",
+            #         "./assets/bach.mp3",
+            #     ],
+            #     [
+            #         "lofi slow bpm electro chill with organic samples",
+            #         None,
+            #     ],
+            # ],
+            examples=[
+
+            ],
+            inputs=[text, melody],
+            outputs=[output]
+        )
+        gr.Markdown("""
+                
+        """)
+
         demo.queue(max_size=8 * 4).launch(**launch_kwargs)