Delete app.py

app.py

@@ -1,25 +0,0 @@
-import gradio as gr
-from diffusers import DiffusionPipeline
-import torch
-
-
-pipe = DiffusionPipeline.from_pretrained(
-    "segmind/tiny-sd",
-    torch_dtype=torch.float32
-)
-
-pipe = pipe.to("cpu")
-
-
-def generate_image(prompt):
-    image = pipe(prompt).images[0]
-    return image
-
-demo = gr.Interface(
-    fn=generate_image,
-    inputs=gr.Textbox(label="Enter Prompt"),
-    outputs=gr.Image(label="Generated Image"),
-    title="Tiny Stable Diffusion Demo"
-)
-
-demo.launch()