Create app.py

app.py

@@ -0,0 +1,30 @@
+from flask import Flask, request, jsonify
+from transformers import pipeline
+
+app = Flask(__name__)
+
+# Load Stable Diffusion model (You can use OpenAI DALL·E API instead if preferred)
+generator = pipeline('text-to-image', model='CompVis/stable-diffusion-v-1-4-original')
+
+@app.route('/generate-image', methods=['POST'])
+def generate_image():
+    description = request.json.get('description')
+    if not description:
+        return jsonify({'error': 'No description provided'}), 400
+    
+    # Generate image from description
+    image = generator(description)
+    
+    # Assuming image is returned as a URL or base64-encoded string
+    image_url = save_image(image)  # Implement a function to save or serve the image
+    
+    return jsonify({'image_url': image_url})
+
+def save_image(image):
+    # Save image and return the URL or path for it
+    image_path = '/path/to/save/image.jpg'
+    image[0].save(image_path)
+    return image_path
+
+if __name__ == '__main__':
+    app.run(debug=True)