| import gradio as gr | |
| from src.transcriber import transcriber | |
| def main(): | |
| with gr.Blocks(analytics_enabled=False, title='multilang-asr-transcriber') as demo: | |
| gr.Markdown('# multilang-asr-transcriber') | |
| gr.Markdown('### A multilingual automatic speech transcription tool using [faster-whisper](https://github.com/SYSTRAN/faster-whisper). Supports translation to english and user setting of max words per line.',) | |
| video_file = gr.File(file_types=["video"],type="filepath") | |
| max_words_per_line = gr.Number(value=6, label="Max words per line") | |
| task = gr.Dropdown(choices=["transcribe", "translate"], value="transcribe", label="Select Task") | |
| text_output = gr.Textbox(label="Text transcription") | |
| srt_file = gr.File(file_count="single", file_types=[".srt"], label="SRT file") | |
| gr.Interface(transcriber, | |
| inputs=[video_file, max_words_per_line, task], | |
| outputs=[text_output,srt_file], | |
| allow_flagging="never", | |
| analytics_enabled=False) | |
| demo.launch() | |
| if __name__ == '__main__': | |
| main() |