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ce8528d
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Parent(s):
3d5ee3a
Aggiunto tasto download
Browse files
app.py
CHANGED
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@@ -1,7 +1,9 @@
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"""Whisper + Pyannote Transcription & Diarization Web Interface."""
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import logging
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import tempfile
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from pathlib import Path
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import gradio as gr
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@@ -20,7 +22,7 @@ def process_audio(
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pyannote_model: str,
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openai_whisper_prompt: str,
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openai_whisper_language: str | None,
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progress=gr.Progress()
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):
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"""
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Process audio file with diarization and transcription.
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@@ -37,16 +39,17 @@ def process_audio(
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transcription_model=transcription_model,
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pyannote_model=pyannote_model,
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whisper_prompt=openai_whisper_prompt,
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whisper_language=openai_whisper_language
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)
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return processor.process(
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audio_path=audio_path,
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progress_callback=lambda p, desc: progress(p, desc=desc)
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)
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def rename_speaker_in_vtt(
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"""Rename speaker and regenerate VTT."""
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if not vtt_content or not transcripts_state:
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return vtt_content
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@@ -65,12 +68,17 @@ def prepare_download(vtt_content: str, audio_filename: str) -> str | None:
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Returns:
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Path to temporary VTT file, or None if inputs are invalid
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"""
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if not vtt_content
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return None
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-
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with open(download_path,
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f.write(vtt_content)
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return str(download_path)
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@@ -78,10 +86,12 @@ def prepare_download(vtt_content: str, audio_filename: str) -> str | None:
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with gr.Blocks(title="Transcription & Diarization") as app:
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gr.Markdown(
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# ποΈ Transcription & Diarization
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Fill the required settings, upload an audio file, and start the transcription using Whisper and Pyannote!
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"""
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transcripts_state = gr.State([])
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audio_filename_state = gr.State("")
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@@ -96,15 +106,22 @@ with gr.Blocks(title="Transcription & Diarization") as app:
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transcription_model = gr.Dropdown(
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label="Transcription model",
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choices=[("Whisper", "whisper-1")],
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value="whisper-1"
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)
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pyannote_model = gr.Dropdown(
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label="Pyannote model",
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choices=[
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)
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openai_whisper_prompt = gr.Textbox(
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openai_whisper_language = gr.Dropdown(
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label="Whisper language",
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choices=[
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@@ -115,7 +132,7 @@ with gr.Blocks(title="Transcription & Diarization") as app:
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("πͺπΈ Spanish", "es"),
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("π«π· French", "fr"),
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],
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value=None
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)
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audio_input = gr.Audio(type="filepath", label="Upload audio")
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@@ -128,20 +145,27 @@ with gr.Blocks(title="Transcription & Diarization") as app:
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label="Transcription",
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lines=20,
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placeholder="Your transcription will appear here...",
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show_copy_button=True,
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)
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validation_status = gr.Markdown("βͺ No content", container=True)
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with gr.Accordion("π Rename speakers", open=True):
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with gr.Row():
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old_speaker_name = gr.Textbox(
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-
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rename_btn = gr.Button("Rename")
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download_file = gr.File(label="Download VTT", visible=False)
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def check_inputs(openai_key: str, hf_key: str, audio) -> gr.Button:
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"""
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Enable submit button only if both API keys and audio are provided.
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@@ -175,29 +199,31 @@ with gr.Blocks(title="Transcription & Diarization") as app:
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# Prepare download file if valid
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file_path = None
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if is_valid and vtt_content
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file_path = prepare_download(vtt_content, audio_filename)
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return (
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status,
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gr.
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)
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# Enable/disable submit button based on API keys and audio input
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openapi_api_key.change(
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fn=check_inputs,
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inputs=[openapi_api_key, hf_api_key, audio_input],
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outputs=submit_btn
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)
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hf_api_key.change(
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fn=check_inputs,
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inputs=[openapi_api_key, hf_api_key, audio_input],
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outputs=submit_btn
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)
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audio_input.change(
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fn=check_inputs,
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inputs=[openapi_api_key, hf_api_key, audio_input],
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outputs=submit_btn
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)
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# Main transcription process
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@@ -210,7 +236,7 @@ with gr.Blocks(title="Transcription & Diarization") as app:
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transcription_model,
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pyannote_model,
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openai_whisper_prompt,
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openai_whisper_language
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],
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outputs=[output_vtt, transcripts_state, audio_filename_state],
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)
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@@ -220,20 +246,20 @@ with gr.Blocks(title="Transcription & Diarization") as app:
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output_vtt.change(
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fn=update_validation,
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inputs=[output_vtt, audio_filename_state],
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outputs=[validation_status,
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)
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audio_filename_state.change(
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fn=update_validation,
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inputs=[output_vtt, audio_filename_state],
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outputs=[validation_status,
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)
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# Speaker renaming
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rename_btn.click(
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fn=rename_speaker_in_vtt,
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inputs=[output_vtt, transcripts_state, old_speaker_name, new_speaker_name],
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outputs=output_vtt
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)
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if __name__ == "__main__":
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"""Whisper + Pyannote Transcription & Diarization Web Interface."""
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+
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import logging
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import tempfile
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from pathlib import Path
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from datetime import datetime
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import gradio as gr
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pyannote_model: str,
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openai_whisper_prompt: str,
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openai_whisper_language: str | None,
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progress=gr.Progress(),
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):
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"""
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Process audio file with diarization and transcription.
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transcription_model=transcription_model,
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pyannote_model=pyannote_model,
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whisper_prompt=openai_whisper_prompt,
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whisper_language=openai_whisper_language,
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)
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return processor.process(
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audio_path=audio_path, progress_callback=lambda p, desc: progress(p, desc=desc)
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)
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def rename_speaker_in_vtt(
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vtt_content: str, transcripts_state, old_speaker: str, new_speaker: str
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):
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"""Rename speaker and regenerate VTT."""
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if not vtt_content or not transcripts_state:
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return vtt_content
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Returns:
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Path to temporary VTT file, or None if inputs are invalid
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"""
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if not vtt_content:
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return None
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if not audio_filename:
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audio_filename = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
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# Create a unique temp directory to avoid caching issues
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temp_dir = Path(tempfile.mkdtemp())
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download_path = temp_dir / f"{audio_filename}.vtt"
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with open(download_path, "w", encoding="utf-8") as f:
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f.write(vtt_content)
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return str(download_path)
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with gr.Blocks(title="Transcription & Diarization") as app:
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gr.Markdown(
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"""
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# ποΈ Transcription & Diarization
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Fill the required settings, upload an audio file, and start the transcription using Whisper and Pyannote!
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"""
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)
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transcripts_state = gr.State([])
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audio_filename_state = gr.State("")
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transcription_model = gr.Dropdown(
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label="Transcription model",
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choices=[("Whisper", "whisper-1")],
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value="whisper-1",
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)
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pyannote_model = gr.Dropdown(
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label="Pyannote model",
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choices=[
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(
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"Speaker diarization community 1",
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"pyannote/speaker-diarization-community-1",
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)
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],
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value="pyannote/speaker-diarization-community-1",
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)
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openai_whisper_prompt = gr.Textbox(
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label="Additional whisper prompt", value=""
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)
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openai_whisper_language = gr.Dropdown(
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label="Whisper language",
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choices=[
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("πͺπΈ Spanish", "es"),
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("π«π· French", "fr"),
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],
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value=None,
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)
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audio_input = gr.Audio(type="filepath", label="Upload audio")
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label="Transcription",
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lines=20,
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placeholder="Your transcription will appear here...",
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)
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validation_status = gr.Markdown("βͺ No content", container=True)
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download_btn = gr.DownloadButton(
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"Download VTT", variant="primary", visible=False
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)
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with gr.Accordion("π Rename speakers", open=True):
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with gr.Row():
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old_speaker_name = gr.Textbox(
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label="Current speaker name (e.g., SPEAKER_00)",
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placeholder="SPEAKER_00",
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value="SPEAKER_00",
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)
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new_speaker_name = gr.Textbox(
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label="New speaker name", placeholder="Davide"
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)
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rename_btn = gr.Button("Rename")
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def check_inputs(openai_key: str, hf_key: str, audio) -> gr.Button:
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"""
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Enable submit button only if both API keys and audio are provided.
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# Prepare download file if valid
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file_path = None
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if is_valid and vtt_content:
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file_path = prepare_download(vtt_content, audio_filename)
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return (
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status,
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gr.DownloadButton(
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value=file_path, visible=bool(file_path), interactive=True
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),
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)
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# Enable/disable submit button based on API keys and audio input
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openapi_api_key.change(
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fn=check_inputs,
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inputs=[openapi_api_key, hf_api_key, audio_input],
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outputs=submit_btn,
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)
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hf_api_key.change(
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fn=check_inputs,
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inputs=[openapi_api_key, hf_api_key, audio_input],
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outputs=submit_btn,
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)
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audio_input.change(
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fn=check_inputs,
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inputs=[openapi_api_key, hf_api_key, audio_input],
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outputs=submit_btn,
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)
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# Main transcription process
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transcription_model,
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pyannote_model,
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openai_whisper_prompt,
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openai_whisper_language,
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],
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outputs=[output_vtt, transcripts_state, audio_filename_state],
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)
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output_vtt.change(
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fn=update_validation,
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inputs=[output_vtt, audio_filename_state],
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outputs=[validation_status, download_btn],
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)
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audio_filename_state.change(
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fn=update_validation,
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inputs=[output_vtt, audio_filename_state],
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outputs=[validation_status, download_btn],
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)
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# Speaker renaming
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rename_btn.click(
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fn=rename_speaker_in_vtt,
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inputs=[output_vtt, transcripts_state, old_speaker_name, new_speaker_name],
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outputs=output_vtt,
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)
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if __name__ == "__main__":
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