Update app.py
Browse files
app.py
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import streamlit as st
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from diffusers import StableDiffusionPipeline
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import torch
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from PIL import Image
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from
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# Load the model only once
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@st.cache_resource
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def load_model():
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torch_dtype=torch.
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safety_checker=None
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)
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return
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# Streamlit UI Code
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st.set_page_config(page_title="Thumbnail Generator", layout="centered")
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st.title("πΌοΈ AI Thumbnail Generator")
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prompt = st.text_input("
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if st.button("
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with st.spinner("
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st.image(image, caption="Generated Thumbnail", use_column_width=True)
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# Download button
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byte_im = buf.getvalue()
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st.download_button("Download Thumbnail", byte_im, file_name="thumbnail.jpg", mime="image/jpeg")
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import streamlit as st
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from PIL import Image
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from transformers import AutoProcessor, KandinskyDecoderPipeline
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import torch
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@st.cache_resource
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def load_model():
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processor = AutoProcessor.from_pretrained("kandinsky-community/kandinsky-2-2-decoder")
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model = KandinskyDecoderPipeline.from_pretrained(
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"kandinsky-community/kandinsky-2-2-decoder",
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torch_dtype=torch.float32,
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)
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model.to("cpu")
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return processor, model
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st.set_page_config(page_title="Thumbnail AI - Kandinsky", layout="centered")
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st.title("π¨ Kandinsky Thumbnail Generator")
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prompt = st.text_input("π Enter your thumbnail idea:", "Minecraft Hardcore NOOB vs PRO battle")
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if st.button("π¬ Generate Image"):
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with st.spinner("Loading model and generating..."):
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processor, model = load_model()
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image = model(prompt=prompt).images[0]
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st.image(image, caption="Generated Thumbnail", use_column_width=True)
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st.success("β
Done!")
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# Download button
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img_bytes = image.convert("RGB").tobytes("raw", "RGB")
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st.download_button("Download Image", data=img_bytes, file_name="thumbnail.jpg", mime="image/jpeg")
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