app.py

import gradio as gr
from transformers import pipeline

pipe2 = pipeline("automatic-speech-recognition", model="distil-whisper/distil-small.en")
pipe3 = pipeline("automatic-speech-recognition", model="antony66/whisper-large-v3-russian")

demo = gr.Blocks()


def transcribe_speech_english(filepath):
    if filepath is None:
        gr.Warning("No audio found, please retry.")
        return ""
    output = pipe2(filepath)
    return output["text"]


def transcribe_speech_russian(filepath):
    if filepath is None:
        gr.Warning("No audio found, please retry.")
        return ""
    output = pipe3(filepath)
    return output["text"]


mic_transcribe_english = gr.Interface(
    fn=transcribe_speech_english,
    inputs=gr.Audio(sources="microphone",
                    type="filepath"),
    outputs=gr.Textbox(label="Transcription",
                       lines=3),
    allow_flagging="never")


mic_transcribe_russian = gr.Interface(
    fn=transcribe_speech_russian,
    inputs=gr.Audio(sources="microphone",
                    type="filepath"),
    outputs=gr.Textbox(label="Transcription",
                       lines=3),
    allow_flagging="never")


file_transcribe_english = gr.Interface(
    fn=transcribe_speech_english,
    inputs=gr.Audio(sources="upload",
                    type="filepath"),
    outputs=gr.Textbox(label="Transcription",
                       lines=3),
    allow_flagging="never",
)


file_transcribe_russian = gr.Interface(
    fn=transcribe_speech_russian,
    inputs=gr.Audio(sources="upload",
                    type="filepath"),
    outputs=gr.Textbox(label="Transcription",
                       lines=3),
    allow_flagging="never",
)


with demo:
    gr.TabbedInterface(
        [mic_transcribe_english,
         file_transcribe_english,
         mic_transcribe_russian,
         file_transcribe_russian],
        ["Transcribe Microphone English",
         "Transcribe Audio File English",
         "Transcribe Microphone Russian",
         "Transcribe Audio File Russian"],
    )

demo.launch()