adding website section to report

pages/4_Report.py

@@ -1092,8 +1092,18 @@ def render_report():
     - The model is not able to handle complex queries and it is not able to handle synonyms and antonyms.
     """)
     
+    st.markdown("### 7. Website Development")
+    st.markdown("""
+    - We used streamlit to develop the website. However, we faced few issues with the size of the trained model and we switched hosting to Hugging Face.
+    - The website loades the pre-trained models and asks the user to add any picture to classify it.
+    - The website also loads the recipes embeddings and top-k retrieval function and waits for the user to enter a query. 
+    - The query is then processed by the model and top-k recipes are returned.    
+    - All the findings and results are displayed in the report section of the website and is also available for download.
+    """)
+    
+
     # References
-    st.markdown("### 6. References")
+    st.markdown("### 7. References")
     st.markdown("""
     [1] Vaswani et al., "Attention Is All You Need," NeurIPS, 2017.  
     [2] Devlin et al., "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding," NAACL-HLT, 2019.