76 lines
1.9 KiB
Python
76 lines
1.9 KiB
Python
from flask import Flask, request, jsonify
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import os
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import uuid
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import subprocess
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from werkzeug.utils import secure_filename
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app = Flask(__name__)
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UPLOAD_FOLDER = '/data'
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ALLOWED_EXTENSIONS = {'wav', 'mp3', 'ogg', 'flac'}
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def allowed_file(filename):
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return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
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@app.route('/stt', methods=['POST'])
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def transcribe():
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if 'audio' not in request.files:
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return jsonify({"error": "No audio file provided"}), 400
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file = request.files['audio']
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if file.filename == '':
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return jsonify({"error": "Empty filename"}), 400
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if not file or not allowed_file(file.filename):
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return jsonify({"error": "Invalid file type"}), 400
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try:
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# Generate unique filename
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file_id = str(uuid.uuid4())
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orig_ext = secure_filename(file.filename).rsplit('.', 1)[1].lower()
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orig_path = os.path.join(UPLOAD_FOLDER, f"{file_id}.{orig_ext}")
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wav_path = os.path.join(UPLOAD_FOLDER, f"{file_id}.wav")
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output_base = os.path.join(UPLOAD_FOLDER, file_id)
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# Save original file
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file.save(orig_path)
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# Convert to WAV if needed
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if orig_ext != 'wav':
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subprocess.run([
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'ffmpeg', '-i', orig_path,
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'-ar', '16000', '-ac', '1', '-c:a', 'pcm_s16le', wav_path
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], check=True)
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os.remove(orig_path)
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audio_path = wav_path
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else:
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audio_path = orig_path
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# Run whisper.cpp
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subprocess.run([
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'/app/whisper.cpp/build/bin/main',
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'-m', '/app/whisper.cpp/models/ggml-base.bin',
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'-f', audio_path,
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'-otxt', '-of', output_base
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], check=True)
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# Read output
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output_file = f"{output_base}.txt"
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with open(output_file, 'r') as f:
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transcription = f.read()
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# Cleanup
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for f in [orig_path, wav_path, audio_path, output_file]:
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if os.path.exists(f):
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os.remove(f)
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return jsonify({"text": transcription.strip()})
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except subprocess.CalledProcessError as e:
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return jsonify({"error": f"Whisper processing failed: {e.stderr}"}), 500
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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if __name__ == '__main__':
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os.makedirs(UPLOAD_FOLDER, exist_ok=True)
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app.run(host='0.0.0.0', port=4004)
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