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from transformers import pipeline | |
from moviepy.editor import * | |
import gradio as gr | |
import requests | |
pipe = pipeline(model="kk90ujhun/whisper-small-hi") # change to "your-username/the-name-you-picked" | |
def transcribe(my_video): | |
# my_video = requests.get(my_url) | |
# my_audio = my_video.audio | |
# text = pipe(my_audio)["text"] | |
# return text | |
return type(my_video) | |
iface = gr.Interface( | |
fn=transcribe, | |
inputs=gr.Video(), | |
outputs="text", | |
title="Whisper Small Hindi", | |
description="Realtime demo for Hindi speech recognition using a fine-tuned Whisper small model.", | |
) | |
iface.launch() |