license: gpl-3.0
---import requests
from flask import Flask, request, jsonify
from PIL import Image
app = Flask(name)
Define a route for the endpoint
@app.route('/generate_image', methods=['POST'])
def generate_image():
# Get the model and prompt from the request
model_file = request.files['model']
prompt = request.form['prompt']
# Load the model
model = load_model(model_file)
# Generate an image based on the prompt
image = generate_image(model, prompt)
# Return the image as a response
return jsonify({'image': image})
Define a function to load the model
def load_model(model_file):
# Load the model using TensorFlow or PyTorch
model = tf.keras.models.load_model(model_file)
return model
Define a function to generate an image
def generate_image(model, prompt):
# Use the model to generate an image based on the prompt
image = model.generate(prompt)
return image
if name == 'main':
app.run(debug=True)
import requests
Define the model and prompt
model_file = open('model.h5', 'rb')
prompt = 'Generate an image of a cat'
