from flask import Flask, render_template, request, make_response

import cv2

import numpy as np

# ... rest of your code ...

app = Flask(__name__)

def resize_image(image, width=None, height=None):

# Placeholder for the resize function

return image

def rotate_image(image, angle):

# Placeholder for the rotate function

return image

def apply_filter(image, filter_name):

# Placeholder for the filter function

return image

def add_text(image, text, position=(50, 50), font=cv2.FONT_HERSHEY_SIMPLEX, font_scale=1, color=(255, 255, 255), thickness=2):

text_image = image.copy()

cv2.putText(text_image, text, position, font, font_scale, color, thickness)

return text_image

def convert_to_bw(image):

return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

@app.route('/')

def index():

return render_template('index.html')

@app.route('/edit', methods=['POST'])

def edit():

file = request.files['image']

mode = request.form['mode']

image = cv2.imdecode(np.frombuffer(file.read(), np.uint8), cv2.IMREAD_COLOR)

# Resize, rotate, and apply filter as required...

# Example: edited_image = resize_image(image, width=500)

# Add text to the image

# Example: edited_image = add_text(edited_image, 'Sample Text')

edited_image = ''

if mode == "b/w":

edited_image = convert_to_bw(image)

elif mode == '90deg':

edited_image = rotate_image(image, 90)

elif mode == '180deg':

edited_image = rotate_image(image, 180)

elif mode == 'resize':

edited_image = resize_image(image, width=500)

else:

edited_image = add_text(image, 'Demo')

# Convert the image to black and white

# Encode the edited image to send it back to the HTML page

retval, buffer = cv2.imencode('.jpg', edited_image)

jpg_as_text = buffer.tobytes()

response = make_response(jpg_as_text)

response.headers.set('Content-Type', 'image/jpeg')

return response

if __name__ == "__main__":

app.run(debug=True)