Create myapp.py

myapp.py

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+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