from flask import Flask, request, jsonify, render_template import os import gradio as gr import requests from PIL import Image app = Flask(__name__) # Load Gradio Model model = gr.Interface.load("models/stabilityai/stable-diffusion-3.5-large") # Chevereto Configuration CHEVERETO_API_URL = os.environ.get("API_URL") CHEVERETO_API_KEY = os.environ.get("API_KEY") CHEVERETO_ALBUM_ID = os.environ.get("ALBUM_ID") def upload_to_chevereto(img_path: str) -> str: """Uploads an image to Chevereto and returns the public image URL.""" with open(img_path, "rb") as image_file: files = {"source": image_file} data = { "key": CHEVERETO_API_KEY, "format": "json", "album": CHEVERETO_ALBUM_ID } response = requests.post(CHEVERETO_API_URL, files=files, data=data) if response.status_code == 200: return response.json().get("image", {}).get("url") else: return f"Error uploading image: {response.text}" def generate_image_and_upload(prompt: str) -> str: """Generates an image using AI and uploads it to Chevereto.""" img = model(prompt) # Generate the image if isinstance(img, list): img = img[0] if isinstance(img, Image.Image): img_path = "generated_image.png" img.save(img_path, format="PNG") # Save image locally return upload_to_chevereto(img_path) # Upload and return URL else: return "Error: Model did not return a valid image" @app.route("/", methods=["GET"]) def index(): """Renders the Star Trek-themed UI.""" return render_template("index.html") @app.route("/generate", methods=["POST"]) def generate(): """API Endpoint: Generate an image from a text prompt and upload it.""" data = request.get_json() prompt = data.get("prompt", "") if not prompt: return jsonify({"error": "Missing prompt"}), 400 image_url = generate_image_and_upload(prompt) return jsonify({"image_url": image_url}) if __name__ == "__main__": app.run(host="0.0.0.0", port=7860)