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# this imports the code from files and modules
from flask import Flask, request, jsonify, send_from_directory, url_for, render_template, send_file
from flask_cors import CORS
import os
import ctypes
import store_helper as sh
import block_builder
import sd_generator as sd
# This is a fix for the way that python doesn't release system memory back to the OS and it was leading to locking up the system
libc = ctypes.cdll.LoadLibrary("libc.so.6")
M_MMAP_THRESHOLD = -3
# Set malloc mmap threshold.
libc.mallopt(M_MMAP_THRESHOLD, 2**20)
# Initialize the Flask application
app = Flask(__name__)
os.makedirs('static/images', exist_ok=True)
# Serve files from the 'static' directory
@app.route('/static/<path:filename>')
def custom_static(filename):
return send_from_directory('static', filename)
# Serve HTML files from the main directory
@app.route('/<path:filename>')
def serve_html(filename):
return send_from_directory('.', filename)
@app.after_request
def apply_headers(response):
response.headers["Cross-Origin-Opener-Policy"] = "same-origin-allow-popups"
return response
# # Default route for index
# @app.route('/')
# def index():
# return send_from_directory('.', 'storeUI.html') # Make sure this points to your main HTML file
@app.route('/')
def index():
css_files = {
'all_css': url_for('static', filename='all.css'),
'font_css': url_for('static', filename='css.css?family=Open+Sans:400,300,600,700'),
'bundle_css': url_for('static', filename='bundle.css'),
'style_css': url_for('static', filename='style.css'),
'phb_style_css': url_for('static', filename='5ePHBstyle.css'),
'store_ui_css': url_for('static', filename='storeUI.css')
}
return render_template('storeUI.html', css_files=css_files)
CORS(app)# Route to handle the incoming POST request with user description
@app.route('/process-description', methods=['POST'])
def process_description():
data = request.json # Get the JSON data from the request
user_input = data.get('user_input', '') # Extract the 'user_input' field
# Print the received input to the console
print(f"Received user input: {user_input}")
# Call the LLM with the user input and return the result
llm_output = sh.call_llm_and_cleanup(user_input)
processed_blocks = block_builder.build_blocks(llm_output, block_builder.block_id)
return jsonify({'html_blocks': processed_blocks}) # Return the LLM output as JSON
@app.route('/generate-image', methods=['POST'])
def generate_image():
data = request.get_json()
image_subject = data.get('store_name')
sd_prompt = data.get('sd_prompt')
image_subject_name = data.get('store_front_sd_prompt')
if not sd_prompt:
return jsonify({'error': 'Missing sd_prompt'}), 400
image_subject = data.get('image_subject')
if not sd_prompt:
return jsonify({'error': 'Missing sd_prompt'}), 400
try:
image_url = sd.preview_and_generate_image(image_subject,image_subject_name, sd_prompt)
return jsonify({'image_url': image_url})
except Exception as e:
return jsonify({'error': str(e)}), 500
# New route to convert HTML to PDF
@app.route('/proxy.html', methods=['POST'])
def proxy():
html_content = request.form.get('htmlContent', '')
# Render the proxy HTML with the provided content
return render_template('proxy.html', html_content=html_content)
if __name__ == "__main__":
app.run(host="0.0.0.0", port=7860, debug=True) # Run the app on localhost, port 7860
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