Update app.py

app.py

@@ -2,30 +2,23 @@ from diffusers import StableDiffusionPipeline
 import torch
 import gradio as gr
 
-# Load the model on CPU
-model_id = "runwayml/stable-diffusion-v1-5"
-pipe = StableDiffusionPipeline.from_pretrained(model_id)
-
-# Move the pipeline to CPU
-pipe = pipe.to("cpu")
+# Load the model (assuming it uses the Stable Diffusion architecture)
+model_id = "Shakker-Labs/AWPortrait-FL"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32)
+pipe.to("cpu")  # Use "cuda" if you have a GPU
 
+# Generate an image from a text prompt
 def generate_image(prompt):
     image = pipe(prompt).images[0]
     return image
-
-# Define the chatbot function
-def chatbot(prompt):
+    
+# Define the function to generate the image
+def chatbot_image(prompt):
     image = generate_image(prompt)
     return image
 
-# Create the Gradio interface
-interface = gr.Interface(
-    fn=chatbot,
-    inputs="text",
-    outputs="image",
-    title="Text to Image Chatbot",
-    description="Generate images from text using Stable Diffusion"
-)
+# Create a Gradio interface
+interface = gr.Interface(fn=chatbot_image, inputs="text", outputs="image", title="Text-to-Image Chatbot")
 
 # Launch the interface
 interface.launch()