Delete app.py

app.py

@@ -1,75 +0,0 @@
-import replicate
-import gradio as gr
-from io import BytesIO
-import base64
-import os
-
-illuse = replicate.Client(api_token=os.getenv('REPLICATE'))
-model_name = "andreasjansson/illusion:75d51a73fce3c00de31ed9ab4358c73e8fc0f627dc8ce975818e653317cb919b"
-example_image = "https://replicate.delivery/pbxt/hHJNV9QteKX8DK2ckkUeXsqbEIKNGFXU1fN0MJoizz3iPlOjA/output-0.png"
-
-def generate(prompt, negative_prompt, qr_content, pattern_image, num_inference_steps, guidance_scale, width, height, seed, num_outputs, controlnet_conditioning_scale, border, qrcode_background):
-    try:
-        inputs = {
-                'prompt': prompt,
-                'negative_prompt': negative_prompt,
-                'qr_code_content': qr_content,
-                'num_inference_steps': num_inference_steps,
-                'guidance_scale': guidance_scale,
-                'width': width,
-                'height': height,
-                'seed': seed,
-                'num_outputs': num_outputs,
-                'controlnet_conditioning_scale': controlnet_conditioning_scale,
-                'border': border,
-                'qrcode_background': qrcode_background
-            }
-        if pattern_image is not None:
-            inputs['image'] = open(pattern_image, 'rb')
-
-        result = illuse.run(
-            model_name,
-            input=inputs
-        )
-        return result
-    except Exception as e:
-        print(e)
-        gr.Error(str(e))
-        return
-
-
-with gr.Blocks() as demo:
-    gr.Markdown("""
-# Illusion Diffusion Fast demo
-## powered by replicate
-""")
-    with gr.Row():
-        with gr.Column():
-            prompt = gr.Textbox(label="Prompt")
-            negative_prompt = gr.Textbox(label="Negative")
-            with gr.Row():
-                qr_content = gr.Textbox(label="QR Code Content", placeholder="https://youtube.com/")
-                pattern_input = gr.Image(label="Pattern Image(if used QR Code Content wont be used)", type="filepath")
-            with gr.Accordion("Additional Settings", open=False):
-                with gr.Row():
-                    num_inference_steps = gr.Slider(label="num_inference_steps", minimum=20, maximum=100, step=1, value=50)
-                    guidance_scale = gr.Slider(label="guidance_scale", minimum=0.1, maximum=30, step=0.01, value=7.5)
-                with gr.Row():
-                    width = gr.Slider(label='width', minimum=128, maximum=1024, step=8, value=768)
-                    height = gr.Slider(label='height', minimum=128, maximum=1024, step=8, value=768)
-                with gr.Row():
-                    seed = gr.Number(label='seed', value=-1)
-                    num_outputs = gr.Slider(label="num_outputs", minimum=1, maximum=4, step=1)
-                with gr.Row():
-                    controlnet_conditioning_scale = gr.Slider(label="controlnet_conditioning_scale", minimum=0, maximum=4, step=1, value=1)
-                    border = gr.Slider(label="border", minimum=0, maximum=4, step=1, value=4)
-                qrcode_background = gr.Dropdown(label="qrcode_background", choices=['gray', 'white'], value='white')
-            run_btn = gr.Button("Run", variant="primary")
-        output = gr.Gallery([example_image])
-
-    generation_event = run_btn.click(generate, inputs=[prompt, negative_prompt, qr_content, pattern_input,
-                                                       num_inference_steps, guidance_scale, width, height, seed,
-                                                       num_outputs, controlnet_conditioning_scale, border,
-                                                       qrcode_background], outputs=output)
-
-demo.launch(show_api=False)