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import requests |
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import json |
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def transcribe_audio(file_path, api_key, model='whisper-1', language=None, prompt=None, response_format='json', temperature=0): |
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url = "https://api.openai.com/v1/audio/transcriptions" |
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headers = { |
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"Authorization": f"Bearer {api_key}" |
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} |
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with open(file_path, 'rb') as f: |
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files = { |
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'file': (file_path, f, 'audio/wav') |
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} |
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data = { |
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'model': (None, model), |
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'language': (None, language), |
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'prompt': (None, prompt), |
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'response_format': (None, response_format), |
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'temperature': (None, str(temperature)) |
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} |
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response = requests.post(url, headers=headers, files=files, data=data) |
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return response.json() |
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def save_transcription(results, json_filename, text_filename): |
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with open(json_filename, 'w') as json_file: |
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json.dump(results, json_file, indent=4) |
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transcripts = [result.get('choices')[0].get('text') if result.get('choices') else "" for result in results] |
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with open(text_filename, 'w') as text_file: |
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for transcript in transcripts: |
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text_file.write(transcript + "\n\n") |
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api_key = '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' |
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audio_files = [f'part_{i}.wav' for i in range(1, 101)] |
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results = [] |
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for file_path in audio_files: |
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try: |
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result = transcribe_audio(file_path, api_key) |
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results.append(result) |
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except Exception as e: |
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print(f"Error processing {file_path}: {e}") |
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save_transcription(results, 'transcription.json', 'transcription.txt') |
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print("Transcription saved to 'transcription.json' and 'transcription.txt'") |
