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app.py

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

requirements.txt

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+flask
+faster-whisper
+torch