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import streamlit as st
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def home_page():
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st.title("Welcome to MetaMorphix AI")
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st.write("""
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This application uses the **META Sam-2 model** to perform advanced augmentation on images and videos.,
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\n**YOLO** trained and pretrained model for Object Detection.
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\n**Stability AI API** for Generative AI - Image to Image generation on mask.
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\n**Image Annoter** for YOLO training Folder Input, Process Replica That of Roboflow app.
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Navigate to the desired section using the sidebar.
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\nScroll down to see the tutorial.
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""")
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st.divider()
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st.header("For Image Augmentation")
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st.write("""1. Navigate to Image Augmentation page & Upload a Image.
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\n2. Mark coordinates on canvas **(green for Inclusive points & red for Exclusive points).**
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\n3. Select Augmentaion method [Pixelated, Hue Change, Mask Replacement, Img2Img Generation] and proceed.""")
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st.video("images/image_aug.mp4")
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st.divider()
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st.header("For Image Annotation on an Image Directory")
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st.write("""1. Navigate to Video Augmentation page & Paste Local Directory link where train images are to annoted.
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\n2. create Bounding box on canvas.
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\n3. click on save annoptation and navigate through next button""")
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st.video("images/image_annote.mp4")
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st.warning("As of now Video Augmentation can only be happen on Jupyter notebook due to certain Limitation")
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st.write("Go to following link to access Notebook and Use Kaggle GPU")
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profile_url = "https://www.kaggle.com/code/gauravverma069/sam-2-meta-video-augmentation-with-yolo-and-genai"
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st.markdown(f"[Visit my Kaggle Notebook link]({profile_url})")
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