app.py

import whisper
import gradio as gr

# Force the model to run on CPU
device = "cpu"
print("Running on CPU")

# Load the Whisper model on CPU
model_name = "tiny"  # Change to "base", "small", etc., as needed
whisper_model = whisper.load_model(model_name, device=device)

# Define the transcription function
def transcribe(audio):
    # Perform transcription using the Whisper model
    result = whisper_model.transcribe(audio)
    return result["text"]

# Create the Gradio interface
demo = gr.Interface(
    fn=transcribe,  # The function to be called for transcription
    inputs=gr.Audio(source="microphone", type="filepath", label="Speak into the microphone"),  # Input audio
    outputs=gr.Textbox(label="Transcription"),  # Output transcription
    title="Whisper Speech-to-Text",  # Title of the interface
    description="Record audio using your microphone and get a transcription using the Whisper model."
)

# Launch the Gradio interface
demo.launch()