Update app.py

app.py

@@ -12,60 +12,60 @@ from audiocraft.data.audio_utils import convert_audio
 def load_model():
     # Load the MusicGen model here
 
-    def music_gen_and_separation(text, audio):
-        # Perform music generation with the loaded MusicGen model
-        texts = [text]  # Use the provided text for music generation
-        melodies = [(audio[1], audio[0])]  # Convert audio to melody format for MusicGen
-    
-        # Perform music generation using the loaded MusicGen model
-        generated_music = predict_full(model, texts, melodies, duration, topk, topp, temperature, cfg_coef)
-    
-        # Perform source separation using Demucs
-        # Save the generated music to a temporary file
-        temp_file = "generated_music.wav"
-        write(temp_file, generated_music, 32000)
-    
-        # Run Demucs for source separation
-        command = "python3 -m demucs.separate -n mdx_extra_q -d cpu " + temp_file + " -o out"
-        process = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-        print("Demucs script output:", process.stdout.decode())
-    
-        # Check if files exist before returning
-        files = ["./out/mdx_extra_q/test/vocals.wav",
-                 "./out/mdx_extra_q/test/bass.wav",
-                 "./out/mdx_extra_q/test/drums.wav",
-                 "./out/mdx_extra_q/test/other.wav"]
-        for file in files:
-            if not os.path.isfile(file):
-                print(f"File not found: {file}")
-            else:
-                print(f"File exists: {file}")
-    
-        # Convert the separated audio files to numpy arrays
-        separated_audio = []
-        for file in files:
-            _, audio = read(file)
-            separated_audio.append(audio)
-    
-        return separated_audio
-    
-    
-    title = "MusicGen with Demucs"
-    description = "Combine MusicGen with Demucs for music generation and source separation."
-    article = "<p>Article content goes here.</p>"
-    
-    input_text = gr.inputs.Textbox(label="Input Text")
-    input_audio = gr.inputs.Audio(label="Input Audio")
-    output_vocals = gr.outputs.Audio(label="Vocals")
-    output_bass = gr.outputs.Audio(label="Bass")
-    output_drums = gr.outputs.Audio(label="Drums")
-    output_other = gr.outputs.Audio(label="Other")
-    
-    gr.Interface(
-        music_gen_and_separation,
-        [input_text, input_audio],
-        [output_vocals, output_bass, output_drums, output_other],
-        title=title,
-        description=description,
-        article=article
-    ).launch() 
+def music_gen_and_separation(text, audio):
+    # Perform music generation with the loaded MusicGen model
+    texts = [text]  # Use the provided text for music generation
+    melodies = [(audio[1], audio[0])]  # Convert audio to melody format for MusicGen
+
+    # Perform music generation using the loaded MusicGen model
+    generated_music = predict_full(model, texts, melodies, duration, topk, topp, temperature, cfg_coef)
+
+    # Perform source separation using Demucs
+    # Save the generated music to a temporary file
+    temp_file = "generated_music.wav"
+    write(temp_file, generated_music, 32000)
+
+    # Run Demucs for source separation
+    command = "python3 -m demucs.separate -n mdx_extra_q -d cpu " + temp_file + " -o out"
+    process = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    print("Demucs script output:", process.stdout.decode())
+
+    # Check if files exist before returning
+    files = ["./out/mdx_extra_q/test/vocals.wav",
+             "./out/mdx_extra_q/test/bass.wav",
+             "./out/mdx_extra_q/test/drums.wav",
+             "./out/mdx_extra_q/test/other.wav"]
+    for file in files:
+        if not os.path.isfile(file):
+            print(f"File not found: {file}")
+        else:
+            print(f"File exists: {file}")
+
+    # Convert the separated audio files to numpy arrays
+    separated_audio = []
+    for file in files:
+        _, audio = read(file)
+        separated_audio.append(audio)
+
+    return separated_audio
+
+
+title = "MusicGen with Demucs"
+description = "Combine MusicGen with Demucs for music generation and source separation."
+article = "<p>Article content goes here.</p>"
+
+input_text = gr.inputs.Textbox(label="Input Text")
+input_audio = gr.inputs.Audio(label="Input Audio")
+output_vocals = gr.outputs.Audio(label="Vocals")
+output_bass = gr.outputs.Audio(label="Bass")
+output_drums = gr.outputs.Audio(label="Drums")
+output_other = gr.outputs.Audio(label="Other")
+
+gr.Interface(
+    music_gen_and_separation,
+    [input_text, input_audio],
+    [output_vocals, output_bass, output_drums, output_other],
+    title=title,
+    description=description,
+    article=article
+).launch()