| import whisper | |
| import gradio as gr | |
| # Load the Whisper model (you can change "base" to "small", "medium", or "large" depending on your needs) | |
| model = whisper.load_model("base") | |
| # Define the transcription function | |
| def transcribe(audio_file): | |
| # Transcribe the audio file using Whisper | |
| result = model.transcribe(audio_file) | |
| return result["text"] | |
| # Gradio Interface for uploading audio and returning the transcription | |
| iface = gr.Interface( | |
| fn=transcribe, | |
| inputs=gr.Audio(type="filepath"), # Use 'filepath' to get the path to the uploaded file | |
| outputs="text", | |
| title="Whisper Transcription", | |
| description="Upload an audio or video file to transcribe." | |
| ) | |
| iface.launch() | |