Spaces:
Running
Running
Update src/mainFunctions.py
Browse files- src/mainFunctions.py +0 -111
src/mainFunctions.py
CHANGED
@@ -33,114 +33,3 @@ def parse_quiz_content(quiz_text):
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questions.append(current_question)
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return {"questions": questions}
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def transcribe_audio(audio_path, elevenlabs_api_key, model_id):
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import requests
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import json
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try:
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with open(audio_path, 'rb') as audio_file:
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response = requests.post(
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'https://api.elevenlabs.io/v1/transcribe',
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headers={'xi-api-key': elevenlabs_api_key},
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files={'audio': audio_file},
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data={'model_id': model_id}
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)
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if response.status_code == 200:
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transcription = response.json().get('transcription', '')
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transcript_path = tempfile.mktemp(suffix='.txt')
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with open(transcript_path, 'w', encoding='utf-8') as f:
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f.write(transcription)
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return transcription, transcript_path, "Transcription completed successfully"
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else:
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return None, None, f"Transcription failed: {response.text}"
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except Exception as e:
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return None, None, f"Transcription error: {str(e)}"
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def process_video_file(video_path, audio_format, elevenlabs_api_key, model_id, gemini_api_key, language, content_type):
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try:
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audio_path = extract_audio_from_video(video_path, audio_format)
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transcription, transcript_path, transcription_status = transcribe_audio(
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audio_path,
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elevenlabs_api_key,
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model_id
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)
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if not transcription:
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return audio_path, "Audio extracted, but transcription failed", None, transcription_status, None, None, None
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formatted_output, json_path, txt_path = analyze_document(
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transcription,
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gemini_api_key,
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language,
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content_type
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)
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return audio_path, "Processing completed successfully", transcript_path, transcription_status, formatted_output, txt_path, json_path
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except Exception as e:
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error_message = f"Error processing video: {str(e)}"
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return None, error_message, None, error_message, error_message, None, None
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def process_youtube_video(youtube_url, audio_format, elevenlabs_api_key, model_id, gemini_api_key, language, content_type):
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try:
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yt = pytube.YouTube(youtube_url)
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stream = yt.streams.filter(progressive=True, file_extension='mp4').order_by('resolution').desc().first()
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if not stream:
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raise Exception("No suitable video stream found")
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# Download to temporary file
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video_path = tempfile.mktemp(suffix='.mp4')
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stream.download(filename=video_path)
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audio_path = extract_audio_from_video(video_path, audio_format)
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transcription, transcript_path, transcription_status = transcribe_audio(
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audio_path,
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elevenlabs_api_key,
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model_id
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)
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if not transcription:
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return audio_path, "Audio extracted, but transcription failed", None, transcription_status, None, None, None
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formatted_output, json_path, txt_path = analyze_document(
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transcription,
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gemini_api_key,
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language,
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content_type
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)
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return audio_path, "Processing completed successfully", transcript_path, transcription_status, formatted_output, txt_path, json_path
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except Exception as e:
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error_message = f"Error processing YouTube video: {str(e)}"
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return None, error_message, None, error_message, error_message, None, None
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def process_audio_document(audio_path, elevenlabs_api_key, model_id, gemini_api_key, language, content_type):
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"""Process an audio file - transcribe and generate summary or quiz."""
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try:
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transcription, transcript_path, transcription_status = transcribe_audio(
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audio_path,
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elevenlabs_api_key,
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model_id
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)
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if not transcription:
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return "Transcription failed", None, None, None, None
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formatted_output, json_path, txt_path = analyze_document(
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transcription,
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gemini_api_key,
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language,
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content_type
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)
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return "Processing completed successfully", transcript_path, formatted_output, txt_path, json_path
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except Exception as e:
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error_message = f"Error processing audio: {str(e)}"
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return error_message, None, error_message, None, None
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questions.append(current_question)
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return {"questions": questions}
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