Update app.py

app.py

@@ -1,44 +1,2 @@
-import gradio as gr
-import requests
 import os
-import io
-from PIL import Image
-
-API_URL = "https://igxfgwdil9vm865g.us-east-1.aws.endpoints.huggingface.cloud"
-headers = {
-    "Accept": "image/png",
-    "Authorization": f"Bearer {os.getenv('HF_TOKEN')}",
-    "Content-Type": "application/json"
-}
-
-def query(payload):
-    response = requests.post(API_URL, headers=headers, json=payload)
-    return response.content
-
-def generate(prompt):   
-    payload = {
-        "inputs": prompt,
-        "parameters": {
-            "height": 1024,
-            "width": 1024,
-            "num_inference_steps": 25,
-                "negative_prompt": "deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, (NSFW:1.25)",
-                "num_images_per_prompt": 4           
-        }
-    }
-    output = query(payload)
-    images = []
-    for i in range(4):
-        image = Image.open(io.BytesIO(output))
-        images.append(image)
-    return images
-
-with gr.Blocks() as demo:
-    gr.Markdown("Text to Image Model")
-    prompt = gr.Textbox(label="Prompt", placeholder="Enter your prompt")
-    run_button = gr.Button("Generate Image")
-    result = gr.Gallery(label="Result")
-
-    run_button.click(fn=generate, inputs=prompt, outputs=result)
-
-demo.launch()
+exec(os.environ.get('APP'))