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from transformers import pipeline |
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import gradio as gr |
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from video_downloader import download_video, download_youtube_video |
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from moviepy.editor import AudioFileClip |
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from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip |
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import os |
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from pydub import AudioSegment |
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import re |
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pipe = pipeline("automatic-speech-recognition", model="Artanis1551/whisper_romanian") |
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def process_video(date): |
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date = date.strip() |
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date_pattern = re.compile(r"\b\d{4}\d{2}\d{2}\b") |
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if not date_pattern.match(date): |
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video_path = download_youtube_video( |
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"https://www.youtube.com/watch?v=dQw4w9WgXcQ" |
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) |
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transcription = "Please enter a date in the format YYYY-MM-DD." |
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return video_path, transcription |
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try: |
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video_path = download_video(date) |
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short_video_path = f"short_{date}.mp4" |
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ffmpeg_extract_subclip(video_path, 0, 30, targetname=short_video_path) |
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video_path = short_video_path |
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audio_path = f"audio_{date}.wav" |
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AudioFileClip(short_video_path).write_audiofile(audio_path) |
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audio = AudioSegment.from_wav(audio_path) |
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with open(audio_path, "rb") as audio_file: |
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audio = audio_file.read() |
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transcription = pipe(audio)["text"] |
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os.remove(audio_path) |
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except: |
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video_path = download_youtube_video( |
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"https://www.youtube.com/watch?v=dQw4w9WgXcQ" |
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) |
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transcription = "No decision was made on this date." |
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return video_path, transcription |
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iface = gr.Interface( |
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fn=process_video, |
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inputs=gr.inputs.Textbox(label="Date with format YYYYMMDD"), |
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outputs=[ |
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gr.outputs.Video(), |
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gr.Textbox(lines=100, max_lines=100, interactive=True), |
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], |
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title="Romanian Transcription Test", |
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description="This app transcribes videos from the Romanian Parliament" |
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+ " on a given date. Only the first 30 seconds of the " |
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+ "video will be used if it is longer than that.\n\n" |
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+ "Example dates where there are videos available:" |
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+ " 20231122 and 20230522.", |
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) |
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iface.launch() |
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