Delete app2.py

app2.py

@@ -1,50 +0,0 @@
-import gradio as gr
-import requests
-import os
-from PIL import Image
-import os
-# Load environment variables
-CHEVERETO_API_URL = os.environ.get("API_URL")  # Your Chevereto API endpoint
-CHEVERETO_API_KEY = os.environ.get("API_KEY")  # Your Chevereto API Key
-CHEVERETO_ALBUM_ID = os.environ.get("ALBUM_ID")  # Your Album ID
-
-# Load the Gradio model
-model = gr.Interface.load("models/stabilityai/stable-diffusion-3.5-large")
-
-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  # Include the album ID
-        }
-        response = requests.post(CHEVERETO_API_URL, files=files, data=data)
-    
-    if response.status_code == 200:
-        return response.json().get("image", {}).get("url")  # Return the image URL
-    else:
-        return f"Error uploading image: {response.text}"  # Debugging error message
-
-def generate_image_and_upload(prompt: str) -> str:
-    """Generates an image using the AI model and uploads it to Chevereto."""
-    img = model(prompt)  # Generate image
-
-    if isinstance(img, list):  
-        img = img[0]  # If Gradio returns a list, get the first image
-
-    if isinstance(img, Image.Image):
-        img_path = "generated_image.png"
-        img.save(img_path, format="PNG")  # Save locally before uploading
-
-        return upload_to_chevereto(img_path)  # Upload and return URL
-    else:
-        return "Error: Model did not return a valid image"
-
-
-
-# Define Gradio API returning the Chevereto public URL
-iface = gr.Interface(fn=generate_image_and_upload, inputs="text", outputs="text")
-
-iface.launch()