# -*- coding: utf-8 -*-
"""whisper_audio_file.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1Drv49mO5QDOUMBpoWeRW6RrxGHLe0b2o

# Using gradio for making a nice UI.
Upload audio file version.

Installing requirements.
"""

!pip install gradio
!pip install git+https://github.com/huggingface/transformers

from transformers import pipeline
import gradio as gr
import os

"""## Building a Demo"""

pipe = pipeline(model="Victorlopo21/whisper-medium-gl-30")
#pipe = pipeline(model="marvmk/whisper-small-gl")  # change to "your-username/the-name-you-picked"

def transcribe(audio):
    text = pipe(audio, chunk_length=10)['text']
    return text

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

iface.launch(debug=True)

# TO TRY