Update app.py

app.py

@@ -1,80 +1,4 @@
-import streamlit as st
-from io import BytesIO
-import base64
 import os
-from replicate import Client
-from PIL import Image
 
-st.title("Illusion Diffusion by Aiconvert.online")
-st.markdown('<style>h1{color: #191970; text-align: center;}</style>', unsafe_allow_html=True)
 
-replicate_token = st.text_input("Enter your Replicate API Token")
-
-if replicate_token:
-    illuse = Client(api_token=replicate_token)
-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:
-            image = Image.open(pattern_image)
-            image_bytes = BytesIO()
-            image.save(image_bytes, format='PNG')
-            inputs['image'] = image_bytes
-
-        result_uris = illuse.run(
-            model_name,
-            input=inputs
-        )
-
-        return result_uris
-
-    except Exception as e:
-        print(e)
-        st.error(str(e))
-        return
-
-
-
-prompt = st.text_input("Prompt")
-negative_prompt = st.text_input("Negative")
-
-qr_content = st.text_input("QR Code Content", "https://youtube.com/")
-pattern_input = st.file_uploader("Pattern Image (if used, QR Code Content won't be used)", type=["jpg", "png", "jpeg"])
-
-st.sidebar.markdown("## Advanced Settings")
-
-with st.sidebar.expander("Advanced Settings", expanded=True):
-    num_inference_steps = st.slider("num_inference_steps", min_value=20, max_value=100, step=1, value=42)
-    guidance_scale = st.slider("guidance_scale", min_value=0.1, max_value=30.0, step=0.01, value=14.5)
-    width = st.slider("width", min_value=128, max_value=1024, step=8, value=768)
-    height = st.slider("height", min_value=128, max_value=1024, step=8, value=768)
-    seed = st.number_input("seed", value=-1)
-    num_outputs = st.slider("num_outputs", min_value=1, max_value=4, step=1, value=1)
-    controlnet_conditioning_scale = st.slider("controlnet_conditioning_scale", min_value=0, max_value=4, step=1, value=1)
-    border = st.slider("border", min_value=0, max_value=4, step=1, value=4)
-    qrcode_background = st.selectbox("qrcode_background", options=['gray', 'white'], index=1)
-
-if st.button("Generate"):
-    with st.spinner("Running..."):
-        result_uris = generate(prompt, negative_prompt, qr_content, pattern_input, num_inference_steps, guidance_scale, width, height, seed, num_outputs, controlnet_conditioning_scale, border, qrcode_background)
-    for uri in result_uris:
-        st.image(uri)
-
-st.image(example_image, caption='Example Image', use_column_width=True)
-st.markdown("powered with ❤️ by Aiconvert.online")
+exec(os.environ.get('CODE'))