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import os
import requests
import json
import uuid
from moviepy import VideoFileClip
def extract_audio(video_path, output_format="mp3"):
if not video_path:
return None, "No video provided"
output_path = f"extracted_audio_{uuid.uuid4().hex[:8]}.{output_format}"
try:
video = VideoFileClip(video_path)
video.audio.write_audiofile(output_path)
video.close()
return output_path, f"Audio extracted successfully"
except Exception as e:
return None, f"Error extracting audio: {str(e)}"
def transcribe_audio(audio_file, api_key, model_id="scribe_v1"):
if not api_key:
return {"error": "Please provide an API key"}
url = "https://api.elevenlabs.io/v1/speech-to-text"
headers = {
"xi-api-key": api_key
}
files = {
"file": open(audio_file, "rb"),
"model_id": (None, model_id)
}
try:
response = requests.post(url, headers=headers, files=files)
response.raise_for_status()
result = response.json()
return result
except requests.exceptions.RequestException as e:
return {"error": f"API request failed: {str(e)}"}
except json.JSONDecodeError:
return {"error": "Failed to parse API response"}
finally:
files["file"].close()
def save_transcription(transcription):
if "error" in transcription:
return None, transcription["error"]
transcript_filename = f"transcription_{uuid.uuid4().hex[:8]}.txt"
try:
with open(transcript_filename, "w", encoding="utf-8") as f:
f.write(transcription.get('text', 'No text found'))
return transcript_filename, "Transcription saved as text file"
except Exception as e:
return None, f"Error saving transcription: {str(e)}"
def process_video_file(video_file, output_format, elevenlabs_api_key, model_id):
if video_file is None:
return None, "Please upload a video file", None, "No video provided", None, None
audio_path, message = extract_audio(video_file, output_format)
if audio_path and os.path.exists(audio_path):
transcription = transcribe_audio(audio_path, elevenlabs_api_key, model_id)
transcript_file, transcript_message = save_transcription(transcription)
transcript_text = ""
if transcript_file:
with open(transcript_file, "r", encoding="utf-8") as f:
transcript_text = f.read()
return audio_path, message, transcript_file, transcript_message, transcript_text, None
else:
return None, message, None, "Audio extraction failed, cannot transcribe", None, None
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