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| from transformers import pipeline | |
| import gradio as gr | |
| import os | |
| import subprocess | |
| from pytube import YouTube | |
| pipe = pipeline(model="tilos/whisper-small-zh-HK") # change to "your-username/the-name-you-picked" | |
| def video2mp3(video_file, output_ext="mp3"): | |
| filename, ext = os.path.splitext(video_file) | |
| subprocess.call(["ffmpeg", "-y", "-i", video_file, f"{filename}.{output_ext}"], | |
| stdout=subprocess.DEVNULL, | |
| stderr=subprocess.STDOUT) | |
| return f"{filename}.{output_ext}" | |
| def transcribe(audio): | |
| text = pipe(audio)["text"] | |
| return text | |
| def get_text(url): | |
| result = pipe(get_audio(url)) | |
| return result['text'].strip() | |
| def get_audio(url): | |
| website = YouTube(url) | |
| video = website.streams.filter(only_audio=True).first() | |
| out_file = video.download(output_path=".") | |
| base, ext = os.path.splitext(out_file) | |
| new_file = base + '.mp3' | |
| os.rename(out_file, new_file) | |
| audio = new_file | |
| return audio | |
| def offline_video(video): | |
| audio_file = video2mp3(video) | |
| text = transcribe(audio_file) | |
| return text | |
| with gr.Blocks() as demo: | |
| # video file input | |
| gr.Interface( | |
| title="Cantonese Transcription using Whisper", | |
| description="Demo for Cantonese speech recognition using a fine-tuned Whisper small model. " | |
| "Generate zh-HK subtitle from video file, audio file, your microphone, and Youtube URL", | |
| fn=offline_video, | |
| inputs="video", | |
| outputs="text", | |
| allow_flagging="never", | |
| ) | |
| # audio file input | |
| with gr.Row(): | |
| with gr.Column(): | |
| input_audio = gr.Audio(source="upload", type="filepath") | |
| micro_btn = gr.Button('Generate Voice Subtitles') | |
| with gr.Column(): | |
| output_audio = gr.Textbox(placeholder='Transcript from audio', label='Subtitles') | |
| micro_btn.click(transcribe, inputs=input_audio, outputs=output_audio) | |
| """ | |
| gr.Interface( | |
| fn=transcribe, | |
| title="Whisper: zh-HK Subtitle Generator", | |
| description="Generate zh-HK subtitle from audio file, your microphone and Youtube", | |
| inputs = gr.Audio(source="upload", type="filepath", optional=True), | |
| outputs = "text", | |
| allow_flagging= "never", | |
| ) | |
| """ | |
| # microphone input | |
| with gr.Row(): | |
| with gr.Column(): | |
| input_mircro = gr.Audio(source="microphone", type="filepath") | |
| micro_btn = gr.Button('Generate Voice Subtitles') | |
| with gr.Column(): | |
| output_micro = gr.Textbox(placeholder='Transcript from mic', label='Subtitles') | |
| micro_btn.click(transcribe, inputs=input_mircro, outputs=output_micro) | |
| # Youtube url input | |
| with gr.Row(): | |
| with gr.Column(): | |
| inputs_url = gr.Textbox(placeholder='Youtube URL', label='URL') | |
| url_btn = gr.Button('Generate Youtube Video Subtitles') | |
| examples = gr.Examples(examples=["https://www.youtube.com/watch?v=Yw4EoGWe0vw"],inputs=[inputs_url]) | |
| with gr.Column(): | |
| output_url = gr.Textbox(placeholder='Transcript from video.', label='Transcript') | |
| url_btn.click(get_text, inputs=inputs_url, outputs=output_url ) | |
| demo.launch(debug=True) |