app.py

import streamlit as st

def Projects():
    project_links = {
        "Agri Tech App": "https://huggingface.co/spaces/Raghavendra0827/Ai-Driven-AgriTech-App",
        "Market Basket Analysis": "https://huggingface.co/spaces/Raghavendra0827/Market_Basket_Analysis",
        "SentimentAnalyzerX": "https://huggingface.co/spaces/Raghavendra0827/SentimentAnalyzerX",
        "Smart Dictionary with Auto Correction": "https://huggingface.co/spaces/Raghavendra0827/Smart_Dictionary_with_Auto_Correction",
        "Book Recommendation App": "https://huggingface.co/spaces/Raghavendra0827/Book_Recommendation_App",
        "Netflix Movie Recommendation Engine": "https://huggingface.co/spaces/Raghavendra0827/Netflix_movie_recommendation_engine",
        "Pneumonia-Detection":"https://huggingface.co/spaces/Raghavendra0827/X-Ray_Segmentation_for_Medical_Diagnostics"
    }
    st.title("Projects")
    project_images = {
        "Agri Tech App": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTTL2ei_5SiPyNJvuiC3Y7ySRcqXbpC8cW5xA&usqp=CAU",
        "Market Basket Analysis": "https://www.pickl.ai/blog/wp-content/uploads/2023/06/Market-Basket-Analysis.jpg",
        "SentimentAnalyzerX": "https://miro.medium.com/v2/resize:fit:689/0*xv_GA6M5AX3NQztr.jpg",
        "Smart Dictionary with Auto Correction": "https://lh3.googleusercontent.com/EJNFBBlpH9QHEhjlga0Q5w3nbuZA0gUOBMW5O7tWRUx0k283PE0qCviAE63kWxexKuuhl3YBEruE9_QH5Sz6FiYFFZN-GAEGTUuP=h200-rw",
        "Book Recommendation App": "https://media.npr.org/assets/img/2020/12/24/2020-concierge-covers_wide-63f004ae7c0066f0ef789eae7c423578aead350f-s1100-c50.jpg",
        "Netflix Movie Recommendation Engine": "https://miro.medium.com/v2/resize:fit:1132/1*8y9sCjaxFmAzEiVEzw3YoQ.jpeg",
        "Pneumonia-Detection":"https://www.faulhaber.com/fileadmin/_processed_/8/e/csm_faulhaber-medical-header_635e8c752d.jpg"

    }

    for project, image_url in project_images.items():
        st.subheader(project)
        st.image(image_url, caption=project, use_column_width=True)
        st.markdown(f"<a href='{project_links[project]}' target='_blank' style='text-decoration: none;'><button style='background-color: #4CAF50; color: white; padding: 10px 20px; border: none; border-radius: 4px; cursor: pointer;'>{project}</button></a>", unsafe_allow_html=True)
        st.markdown("---")  # Separator between projects

def app_interface():
    Projects()

if __name__ == "__main__":
    app_interface()