Upload app.py

app.py

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+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"
+)
+
+app.launch()