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Create app.py
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app.py
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from flask import Flask, request, jsonify, Response # Add Response here
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from faster_whisper import WhisperModel
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import torch
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import io
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import time
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import datetime
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from threading import Semaphore
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import os
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from werkzeug.utils import secure_filename
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import tempfile
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app = Flask(__name__)
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# Configuration
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MAX_CONCURRENT_REQUESTS = 2 # Adjust based on your server capacity
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MAX_AUDIO_DURATION = 60 * 30 # 30 minutes maximum audio duration (adjust as needed)
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TEMPORARY_FOLDER = tempfile.gettempdir()
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ALLOWED_EXTENSIONS = {'mp3', 'wav', 'ogg', 'm4a', 'flac'}
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# Device check for faster-whisper
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device = "cuda" if torch.cuda.is_available() else "cpu"
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compute_type = "float16" if device == "cuda" else "int8"
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print(f"Using device: {device} with compute_type: {compute_type}")
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# Faster Whisper setup with optimized parameters for long audio
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beamsize = 2 # Slightly larger beam size can help with long-form accuracy
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wmodel = WhisperModel(
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"guillaumekln/faster-whisper-small",
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device=device,
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compute_type=compute_type,
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download_root="./model_cache" # Cache model to avoid re-downloading
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)
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# Concurrency control
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request_semaphore = Semaphore(MAX_CONCURRENT_REQUESTS)
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active_requests = 0
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def allowed_file(filename):
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return '.' in filename and \
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filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
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def cleanup_temp_files(file_path):
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"""Ensure temporary files are deleted after processing"""
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try:
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if os.path.exists(file_path):
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os.remove(file_path)
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except Exception as e:
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print(f"Error cleaning up temp file {file_path}: {str(e)}")
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@app.route("/health", methods=["GET"])
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def health_check():
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"""Endpoint to check if API is running"""
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return jsonify({
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'status': 'API is running',
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'timestamp': datetime.datetime.now().isoformat(),
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'device': device,
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'compute_type': compute_type,
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'active_requests': active_requests,
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'max_duration_supported': MAX_AUDIO_DURATION
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})
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@app.route("/status/busy", methods=["GET"])
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def server_busy():
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"""Endpoint to check if server is busy"""
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is_busy = active_requests >= MAX_CONCURRENT_REQUESTS
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return jsonify({
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'is_busy': is_busy,
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'active_requests': active_requests,
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'max_capacity': MAX_CONCURRENT_REQUESTS
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})
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@app.route("/whisper_transcribe", methods=["POST"])
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def whisper_transcribe():
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global active_requests
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if not request_semaphore.acquire(blocking=False):
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return jsonify({'error': 'Server busy'}), 503
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active_requests += 1
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start_time = time.time()
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temp_file_path = None
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try:
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if 'audio' not in request.files:
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return jsonify({'error': 'No file provided'}), 400
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audio_file = request.files['audio']
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if not (audio_file and allowed_file(audio_file.filename)):
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return jsonify({'error': 'Invalid file format'}), 400
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temp_file_path = os.path.join(TEMPORARY_FOLDER, secure_filename(audio_file.filename))
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audio_file.save(temp_file_path)
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segments, _ = wmodel.transcribe(
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temp_file_path,
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beam_size=beamsize,
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vad_filter=True,
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without_timestamps=True, # Ensure timestamps are not included
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compression_ratio_threshold=2.4,
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word_timestamps=False
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)
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full_text = " ".join(segment.text for segment in segments)
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return jsonify({'transcription': full_text}), 200
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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finally:
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if temp_file_path:
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cleanup_temp_files(temp_file_path)
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active_requests -= 1
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request_semaphore.release()
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print(f"Processed in {time.time()-start_time:.2f}s (Active: {active_requests})")
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if __name__ == "__main__":
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# Create temporary folder if it doesn't exist
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if not os.path.exists(TEMPORARY_FOLDER):
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os.makedirs(TEMPORARY_FOLDER)
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app.run(host="0.0.0.0", port=7860, threaded=True)
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