import gradio as gr
import whisper

# Choose model: "tiny" for faster, "base" for better accuracy
model = whisper.load_model("small")

def transcribe(audio):
    if audio is None:
        return "Please upload an audio file."
    result = model.transcribe(audio)
    return result["text"]

app = gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(sources=["microphone", "upload"], type="filepath"),
    outputs="textbox",
    title="🎙️ Whisper Speech-to-Text",
    description="Transcribe audio to text using OpenAI Whisper (Tiny model).",
)

app.launch()