Update requirements.txt

requirements.txt

@@ -1,42 +1,5 @@
-from flask import Flask, jsonify, request, send_file
-from flask_cors import CORS
-from PIL import Image
-import io
-import numpy as np
-import cv2
-
-# Initialize the Flask app
-myapp = Flask(__name__)
-CORS(myapp)  # Enable CORS if needed
-
-@myapp.route('/')
-def home():
-    return "Welcome to the Image Denoiser!"  # Basic home response
-
-@myapp.route('/denoise', methods=['POST'])
-def denoise_image():
-    if 'image' not in request.files:
-        return jsonify({"error": "No image provided"}), 400
-
-    input_image = request.files['image'].read()  # Read the uploaded image
-    img = Image.open(io.BytesIO(input_image))
-    
-    # Convert to OpenCV format
-    img_cv = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
-
-    # Apply fastNlMeansDenoising
-    denoised_img = cv2.fastNlMeansDenoising(img_cv, None, h=10, templateWindowSize=7, searchWindowSize=21)
-    
-    # Convert back to PIL format
-    denoised_img_pil = Image.fromarray(cv2.cvtColor(denoised_img, cv2.COLOR_BGR2RGB))
-
-    # Save to bytes
-    img_byte_arr = io.BytesIO()
-    denoised_img_pil.save(img_byte_arr, format='PNG')
-    img_byte_arr.seek(0)
-
-    return send_file(img_byte_arr, mimetype='image/png')
-
-# Add this block to make sure your app runs when called
-if __name__ == "__main__":
-    myapp.run(host='0.0.0.0', port=7860)  # Run directly if needed for testing
+Flask
+Flask-Cors
+pillow
+opencv-python
+gunicorn