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| import gradio as gr | |
| from transformers import pipeline | |
| # Initialize the text-to-audio pipeline with the MusicGen small model | |
| pipe = pipeline("text-to-audio", model="facebook/musicgen-small") | |
| # Define the function to generate audio from text | |
| def generate_audio(text): | |
| audio_output = pipe(text) | |
| return audio_output["audio"] | |
| # Set up the Gradio interface using updated components | |
| app = gr.Interface( | |
| fn=generate_audio, # Function to call for text-to-audio generation | |
| inputs=gr.Textbox(lines=2, placeholder="Enter text to generate audio"), # Updated input field for text | |
| outputs=gr.Audio(type="numpy"), # Updated output for audio | |
| title="Text to Audio Generator", # Title of the app | |
| description="Generate music or audio from text using Facebook's MusicGen small model." | |
| ) | |
| # Launch the app | |
| if __name__ == "__main__": | |
| app.launch() | |