myapp.py

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