Update app.py

app.py

@@ -160,21 +160,21 @@ def get_context(vectorstore,query):
     return context_retrieved
 
 # first we create the chunks for iati documents
-chunks = get_chunks()
-print("chunking done")
+#chunks = get_chunks()
+#print("chunking done")
 
 # once the chunks are done, we perform hybrid emebddings
-embed_chunks(chunks)
-
-# vectorstores = get_local_qdrant() 
-# vectorstore = vectorstores['all']
-# button=st.button("search")
-# results= get_context(vectorstore, f"find the relvant paragraphs for: {var}")
-# if button:
-#     st.write(f"Found {len(results)} results for query:{var}")
-
-#     for i in results: 
-#         st.subheader(i.metadata['iati_id']+":"+i.metadata['title_main'])
-#         st.caption(f"Status:{i.metadata['status']}, Country:{i.metadata['country_name']}")
-#         st.write(i.page_content)
-#         st.divider()
+#embed_chunks(chunks)
+
+vectorstores = get_local_qdrant() 
+vectorstore = vectorstores['all']
+button=st.button("search")
+results= get_context(vectorstore, f"find the relvant paragraphs for: {var}")
+if button:
+     st.write(f"Found {len(results)} results for query:{var}")
+
+     for i in results: 
+         st.subheader(i.metadata['id']+":"+i.metadata['title_main'])
+         st.caption(f"Status:{i.metadata['status']}, Country:{i.metadata['country_name']}, Source:{i.metadata['source']}")
+         st.write(i.page_content)
+         st.divider()