Update app.py

app.py

@@ -40,24 +40,24 @@ def get_context(vectorstore,query):
     return context_retrieved
 
 # first we create the chunks for iati documents
-#chunks = process_giz_worldwide()
-#for i in range(5):
-#    print(i,"\n",chunks.loc[i,'chunks'])
-#temp_df = chunks[:5]
-#temp_doc = create_documents(temp_df,'chunks')
-#hybrid_embed_chunks(temp_doc)
+chunks = process_giz_worldwide()
+for i in range(5):
+    print(i,"\n",chunks.loc[i,'chunks'])
+temp_df = chunks[:5]
+temp_doc = create_documents(temp_df,'chunks')
+hybrid_embed_chunks(temp_doc, "giz_worldwide")
 
 
-#print("chunking done")
+print("emedding done")
 
 # once the chunks are done, we perform hybrid emebddings
 #embed_chunks(chunks)
 
-vectorstores = get_local_qdrant('giz_worldwide') 
-vectorstore = vectorstores['giz_worldwide']
+#vectorstores = get_local_qdrant('giz_worldwide') 
+#vectorstore = vectorstores['giz_worldwide']
 button=st.button("search")
-found_docs = vectorstore.similarity_search(var)
-print(found_docs)
+#found_docs = vectorstore.similarity_search(var)
+#print(found_docs)
 # results= get_context(vectorstore, f"find the relvant paragraphs for: {var}")
 if button:
      st.write(f"Found {len(results)} results for query:{var}")