Delete app.py

app.py

@@ -1,33 +0,0 @@
-from diffusers import StableDiffusionPipeline
-import matplotlib.pyplot as plt
-import torch
-
-model_id1 = "dreamlike-art/dreamlike-diffusion-1.0"
-
-pipe = StableDiffusionPipeline.from_pretrained(model_id1, use_safetensors=True)
-pipe = pipe.to("cpu")
-
-def generate_image_interface(prompt):
-    # Assuming `pipe` is correctly defined elsewhere for image generation
-    params = {
-        'prompt': prompt,
-        'num_inference_steps': 100,
-        'num_images_per_prompt': 2,  # Assuming this is a valid parameter
-        'height': int(1.2 * 640)  # Assuming height is calculated based on weight
-    }
-
-    # Assuming `pipe` is correctly defined elsewhere
-    img = pipe(**params).images
-    return img[0], img[1]
-
-import gradio as gr
-
-demo = gr.Interface(
-    fn=generate_image_interface,
-    inputs=["text"],
-    outputs=["image", "image"],
-    title="Image Generation Interface",
-    description="Generate images based on prompts."
-)
-
-demo.launch()