Update app.py

app.py

@@ -1,29 +1,29 @@
-import gradio as gr
-import os  # For accessing environment variables
-from diffusers import StableDiffusionPipeline
-import torch
-
-# Load the token from Hugging Face secrets
-HF_TOKEN = os.environ.get("HF_TOKEN")  # This fetches your secret!
-
-# Load the model with your token
-model_id = "runwayml/stable-diffusion-v1-5"
-pipe = StableDiffusionPipeline.from_pretrained(
-    model_id,
-    use_auth_token=HF_TOKEN  # Authenticates using your secret
-)
-pipe = pipe.to("cuda")  # Uses Hugging Face's GPU
-
-def generate_image(prompt):
-    image = pipe(prompt).images[0]
-    return image
-
-# Gradio UI
-app = gr.Interface(
-    fn=generate_image,
-    inputs=gr.Textbox(label="Describe your image..."),
-    outputs=gr.Image(label="Generated Image"),
-    title="Free AI Image Generator"
-)
-
+import gradio as gr
+import os
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Fetch the Hugging Face token from secrets
+HF_TOKEN = os.environ.get("HF_TOKEN")
+
+# Load the model
+model_id = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(
+    model_id,
+    use_auth_token=HF_TOKEN
+)
+pipe = pipe.to("cuda")  # Use GPU
+
+def generate_image(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+# Gradio UI
+app = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Describe your image..."),
+    outputs=gr.Image(label="Generated Image"),
+    title="Free AI Image Generator"
+)
+
 app.launch()