Update app.py

app.py

@@ -1,14 +1,25 @@
 import torch
 import gradio as gr
 from diffusers import StableDiffusion3Pipeline
+import os
+
+# Get the API token from environment variable (e.g., from Hugging Face Spaces Secrets)
+api_token = os.getenv("HF_API_TOKEN")
+
+if not api_token:
+    raise ValueError("Hugging Face API token not found. Please set it in the Secrets.")
+
+# Set the environment variable for Hugging Face API token (if needed explicitly)
+os.environ["HUGGING_FACE_HUB_TOKEN"] = api_token
 
 def image_generator(prompt):
     device = "cuda" if torch.cuda.is_available() else "cpu"
-    pipeline = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", 
-                                                         torch_dtype=torch.float16 if device == "cuda" else torch.float32,
-                                                         text_encoder_3=None,
-                                                         tokenizer_3 = None)
-    #pipeline.enable_model_cpu_offload()
+    pipeline = StableDiffusion3Pipeline.from_pretrained(
+        "stabilityai/stable-diffusion-3-medium-diffusers", 
+        torch_dtype=torch.float16 if device == "cuda" else torch.float32,
+        text_encoder_3=None,
+        tokenizer_3=None
+    )
     pipeline.to(device)
 
     image = pipeline(
@@ -24,9 +35,9 @@ def image_generator(prompt):
 
 interface = gr.Interface(
     fn=image_generator, 
-    inputs=gr.Textbox(lines=2, placeholder = "Enter your prompt..."), 
-    outputs=gr.Image(type = "pil"),
-    title = "Image Generator App",
-    description = "This is a simple image generator app using HuggingFace's Stable Diffusion 3 model.")
+    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt..."), 
+    outputs=gr.Image(type="pil"),
+    title="Image Generator App",
+    description="This is a simple image generator app using HuggingFace's Stable Diffusion 3 model."
+)
 interface.launch()
-print(interface)