app.py

import whisper
import gradio as gr

model = whisper.load_model("base")

def transcribe(audio_filepath):
    print(f"🔍 Received file: {audio_filepath}")
    result = model.transcribe(audio_filepath, language="en")
    return result["text"]
print('enter')
iface = gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(type="filepath", label="audio_filepath"),
    outputs="text",
    title="Whisper Transcription (English Only)",
    description="Upload an English audio file to get transcription using OpenAI's Whisper."
)

# ✅ Compatible way for Spaces — don't use `enable_queue` if Gradio version < 3.30+
iface.launch(share=True)