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import gradio as gr
import assemblyai as aai
import re
import os
import tempfile
# Set your AssemblyAI API key
aai.settings.api_key = os.genenv('ASSEMBLYAI_API_KEY')
def create_assembly_transcript(audio_file):
transcriber = aai.Transcriber()
transcript = transcriber.transcribe(
audio_file.name, 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(transcript_string):
# Regex pattern for speaker labels
speaker_label_pattern = r"^(.+?)(?=\s\d{2}:\d{2}:\d{2})"
# Regex pattern for timestamps
timestamp_pattern = r"(\d{2}:\d{2}:\d{2})"
# Replace speaker labels with bold syntax
formatted_transcript = re.sub(
speaker_label_pattern, r"**\1**", transcript_string, flags=re.MULTILINE
)
# Replace timestamps with italicized syntax
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."
transcript = create_assembly_transcript(audio_file)
if transcript.error:
return f"An error occurred: {transcript.error}"
transcript_string = transcript_to_string(transcript)
md_transcript = format_transcript(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 md_transcript, temp_file_path
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 Transcript")
],
title="Audio Transcription App",
description="Upload an audio file to get a transcription with speaker labels."
)
iface.launch()
if __name__ == "__main__":
launch_app() |