add read me

app.py

@@ -0,0 +1,40 @@
+from flask import Flask, request, jsonify
+from faster_whisper import WhisperModel
+import os
+import tempfile
+
+app = Flask(__name__)
+
+# Load Model
+model_size = "small.en" 
+model = WhisperModel(model_size, device="cpu", compute_type="int8")
+
+@app.route('/transcribe', methods=['POST'])
+def transcribe_audio():
+    if 'audio' not in request.files:
+        return jsonify({"error": "No audio file provided"}), 400
+
+    audio_file = request.files['audio']
+    temp_file_path = None # Initialize variable
+
+    # Save file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_audio:
+        audio_file.save(tmp_audio.name)
+        temp_file_path = tmp_audio.name
+
+    try:
+        # Now we can safely use temp_file_path
+        segments, info = model.transcribe(temp_file_path, beam_size=5, language="en")
+        transcript = " ".join([segment.text for segment in segments])
+        print(f"Transcript: {transcript}")
+        return jsonify({"transcript": transcript})
+    except Exception as e:
+        print(f"Error: {e}")
+        return jsonify({"error": str(e)}), 500
+    finally:
+        # Cleanup
+        if temp_file_path and os.path.exists(temp_file_path):
+            os.remove(temp_file_path)
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=5000)