Spaces:
Sleeping
Sleeping
| import gradio as gr | |
| import assemblyai as aai | |
| import re | |
| import os | |
| import tempfile | |
| # Set AssemblyAI API key from environment variable | |
| aai.settings.api_key = os.getenv('ASSEMBLYAI_API_KEY') | |
| def create_assembly_transcript(audio_file): | |
| transcriber = aai.Transcriber() | |
| transcript = transcriber.transcribe( | |
| audio_file, config=aai.TranscriptionConfig(speaker_labels=True) | |
| ) | |
| return transcript | |
| def transcript_to_string(transcript): | |
| output = "" | |
| for utterance in transcript.utterances: | |
| name = f"SPEAKER {utterance.speaker}" | |
| start_time = format_time(utterance.start) | |
| output += f"{name} {start_time}\n{utterance.text}\n\n" | |
| return output | |
| def format_time(milliseconds): | |
| seconds = milliseconds // 1000 | |
| hours, seconds = divmod(seconds, 3600) | |
| minutes, seconds = divmod(seconds, 60) | |
| return f"{int(hours):02}:{int(minutes):02}:{int(seconds):02}" | |
| def format_transcript_markdown(transcript_string): | |
| speaker_label_pattern = r"^(.+?)(?=\s\d{2}:\d{2}:\d{2})" | |
| timestamp_pattern = r"(\d{2}:\d{2}:\d{2})" | |
| formatted_transcript = re.sub( | |
| speaker_label_pattern, r"**\1**", transcript_string, flags=re.MULTILINE | |
| ) | |
| formatted_transcript = re.sub( | |
| timestamp_pattern, r"_\1_", formatted_transcript, flags=re.MULTILINE | |
| ) | |
| return formatted_transcript | |
| def transcribe_audio(audio_file): | |
| if audio_file is None: | |
| return "Please upload an audio file.", None | |
| try: | |
| transcript = create_assembly_transcript(audio_file) | |
| if transcript.error: | |
| return f"An error occurred: {transcript.error}", None | |
| transcript_string = transcript_to_string(transcript) | |
| md_transcript = format_transcript_markdown(transcript_string) | |
| # Save the markdown transcript to a temporary file | |
| with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.md') as temp_file: | |
| temp_file.write(md_transcript) | |
| temp_file_path = temp_file.name | |
| return transcript_string, temp_file_path | |
| except Exception as e: | |
| return f"An error occurred: {str(e)}", None | |
| def launch_app(): | |
| iface = gr.Interface( | |
| fn=transcribe_audio, | |
| inputs=gr.Audio(type="filepath", label="Upload Audio File"), | |
| outputs=[ | |
| gr.Textbox(label="Transcript Preview", lines=10), | |
| gr.File(label="Download Formatted Transcript") | |
| ], | |
| title="Audio Transcription App", | |
| description="Upload an audio file to get a transcription with speaker labels. The preview shows plain text, while the download includes markdown formatting." | |
| ) | |
| iface.launch() | |
| if __name__ == "__main__": | |
| launch_app() |