Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+import torch
+import soundfile as sf
+
+# Load your pre-trained text-to-music model (example: using a music generation model)
+model = pipeline("text-to-music", model="facebook/musicge-small")
+
+# Function to process text and generate music
+def generate_music(text_input):
+    # This part depends on the model you use
+    music_output = model(text_input)  # Generate music based on input text
+    
+    # Save the music to a file or return it directly
+    output_file = "/path/to/output.wav"
+    sf.write(output_file, music_output, 22050)  # Example: Saving at 22050 Hz sample rate
+    return output_file
+
+# Set up the Gradio interface
+iface = gr.Interface(
+    fn=generate_music,
+    inputs=gr.Textbox(label="Enter Text for Music"),
+    outputs=gr.Audio(label="Generated Music")
+)
+
+# Launch the app
+iface.launch()