Create app.py

app.py

@@ -0,0 +1,61 @@
+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)