| import gradio as gr | |
| import os | |
| from transformers import pipeline | |
| # Load ASR pipeline | |
| asr = pipeline(task="automatic-speech-recognition", | |
| model="distil-whisper/distil-small.en") | |
| # Define function | |
| def transcribe(audio): | |
| out = asr(audio) | |
| return out['text'] # Extract transcribed text | |
| # Create Gradio Interface | |
| iface = gr.Interface(fn=transcribe, | |
| inputs=gr.Audio(type="filepath"), # Expect an audio file path | |
| outputs="text") | |
| # Launch Interface | |
| iface.launch(share=True, | |
| server_port=int(os.environ.get('PORT1', 7860))) | |