app.py

from transformers import pipeline
import gradio as gr

# Explicitly set the task
pipe = pipeline("automatic-speech-recognition", model="bofenghuang/whisper-small-cv11-french")

def transcribe(audio):
    text = pipe(audio)["text"]
    return text

iface = gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(type="filepath"),  # Removed source="microphone"
    outputs="text",
    title="Whisper Small French",
    description="Realtime demo for French speech recognition using a fine-tuned Whisper small model.",
)

iface.launch()