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"", unsafe_allow_html=True) st.markdown("---") # Separator between projects def app_interface(): Projects() if __name__ == "__main__": app_interface()