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import streamlit as st |
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from PIL import Image |
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import torch |
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from diffusers import DiffusionPipeline |
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from diffusers.utils import load_image |
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from streamlit_image_select import image_select |
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import time |
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import io |
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pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0") |
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def main(): |
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st.title("Welcome to SurgiLook.ai!") |
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st.write("With this tool, you can easily visualize the results of a surgical procedure before it happens") |
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uploaded_file = st.file_uploader("Choose an image...", type="jpg") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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img = image_select( |
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label="Or use a Demo Image insted", |
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images=[ |
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Image.open("chin.jpg"), |
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Image.open("facelift.jpg"), |
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Image.open("nose.jpg"), |
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], |
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use_container_width=False, |
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captions=["chin implant", "face lift", "nose adjustment", ], |
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return_value="index" |
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) |
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st.write("") |
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st.write("") |
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st.header("Select an option:") |
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option = st.selectbox("", ("Face Lift", "Nose correction", "Chin implant")) |
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st.write("You selected:", option) |
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st.write("") |
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st.write("") |
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strg="" |
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if option == "Face Lift": |
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strg="Face Lift" |
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col1, col2, col3 = st.columns(3) |
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with col1: |
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st.image("fl1.jpg") |
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with col2: |
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st.image("fl2.jpg") |
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with col3: |
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st.image("fl3.jpg") |
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elif option == "Nose correction": |
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strg="Nose correction" |
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col1, col2, col3 = st.columns(3) |
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with col1: |
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st.image("nose1.jpg") |
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with col2: |
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st.image("nose3.jpg") |
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with col3: |
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st.image("nose4.jpg") |
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elif option == "Chin implant": |
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strg="Chin implant" |
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col1, col2, col3 = st.columns(3) |
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with col1: |
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st.image("chin1.jpg") |
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with col2: |
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st.image("chin2.jpg") |
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with col3: |
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st.image("chin3.jpg") |
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st.write("") |
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st.write("") |
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text_input = st.text_input("Enter some text...") |
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if st.button("Generate"): |
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if uploaded_file is not None: |
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image_bytes = uploaded_file.read() |
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pil_image = Image.open(io.BytesIO(image_bytes)) |
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init_image = load_image(pil_image).convert("RGB") |
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prompt = f"generate image of how this person would look after {strg} also use this additional information{text_input}" |
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image = pipeline(prompt, image=init_image).images |
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st.image(image, caption="Uploaded Image", use_column_width=True) |
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else: |
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time.sleep(4) |
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if img==0: |
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st.image('chinop.jpg',width=300) |
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elif img==1: |
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st.image('faceliftop.jpg',width=300) |
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elif img==2: |
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st.image('noseop.jpg',width=300) |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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col1, col2 = st.columns(2) |
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with col1: |
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st.header("How to use this website") |
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st.write("Here are some steps to get you started:") |
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st.write("1. Upload an image using the image input field above.") |
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st.write("2. select the type of cosmetic sugery you want to perform.") |
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st.write("3. Add some text to describe any specific details") |
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st.write("4. Click the generate button to generate output.") |
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with col2: |
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st.image("step1.jpeg") |
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st.write("") |
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st.write("") |
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col1, col2 = st.columns(2) |
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with col2: |
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st.header("Transforming the cosmatic surgeriy experiance") |
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st.write("Our SugiLook AI model generates realistic before and after images of cosmetic surgery.") |
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st.write("Generate Precise image by providing detailed feedback") |
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st.write("Feel more confident on your decision") |
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st.write("Assist doctors in communicating the potential results of the procedure.") |
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with col1: |
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st.image("step2.jpeg") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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st.write("") |
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footer_container = st.container() |
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with footer_container: |
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st.write("Terms of Use | Privacy Policy | Contact Us") |
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st.write("Language: English | Spanish | French | German") |
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if __name__ == "__main__": |
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main() |
