Delete app.py.py

app.py.py

@@ -1,46 +0,0 @@
-import gradio as gr
-import torch
-from diffusers import StableDiffusionPipeline
-import os
-
-def get_token() -> str:
-  return os.environ.get("HUGGING_FACE_TOKEN") 
-
-def save_images(images: list) -> list:
-
-  output_files_names = []
-  for id, image in enumerate(images):
-    filename = f"output{id}.png"
-    image.save(filename)
-    output_files_names.append(filename)
-    
-  return output_files_names
-
-
-
-def create_img(prompt :str, number_output_requested: int) -> list:
-  AUTH_TOKEN = get_token()
-  generator = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", 
-                                                        revision="fp16", 
-                                                        torch_dtype=torch.float16, 
-                                                        use_auth_token=AUTH_TOKEN)
-  generator.to("cuda")
-  prompt = [prompt] * number_output_requested
-  with torch.autocast("cuda"):
-    images = generator(prompt).images
-    output_paths = save_images(images)
-  return output_paths
-
-diffusers_app = gr.Interface(
-        fn=create_img,
-        inputs =
-        [
-          gr.Textbox(label="Write your prompt below", placeholder = "A squirrel bench pressing 200 kg"),
-          gr.Slider(value=1, minimum=1, maximum=8, step=1, label="Number of pictures to generate")
-        ],
-        outputs = gr.Gallery(label="Generated Images").style(grid=[2]),
-        title="Text to Image with Stable Diffusion",
-        description="This is a basic app to generate pictures with Stable Diffusion."
-) 
-
-diffusers_app.launch(debug=True)