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from flask import Flask, request, jsonify
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("/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)
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