split sentence

app.py

@@ -3,7 +3,6 @@ from utils.vector_base import KnowledgeBase
 from utils.embedding import Embeddings
 from utils.llm import LLM
 from config import config
-import json
 
 
 def get_emdedding_model():
@@ -74,7 +73,6 @@ if __name__ == '__main__':
     st.title("PaperRAG")
     st.subheader("RAG system for scientific papers with selectable search types")
 
-    # User inputs
     query = st.text_input("Enter your query")
     search_types = st.multiselect(
         "Select search types",
@@ -85,14 +83,11 @@ if __name__ == '__main__':
 
     if st.button("Get Response"):
         if query and llm_api_key:
-            # Call the main function
             response, docs = main(query, search_types, llm_api_key)
 
-            # Show the LLM response
             st.subheader("LLM Response:")
             st.text_area("Response", value=response, height=300)
 
-            # Show combined documents
             st.subheader("Citations:")
             st.text_area("Documents", value=docs, height=300)
         else:

faiss_index.faiss

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1422951bc60fbc02da260a6d9059740149b8724e13f71b7110e440e66bcc9f79
-size 76847661
+oid sha256:e769a46a9e7667dade1e46e9441dd6bda19190f8630634ebdeacb669b3aaa11c
+size 1625133

metadata.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:052c218b62d563adf9d26339d58c1296f22e6674f36f3b55e3675c3865e50d8f
-size 17923018
+oid sha256:79856139bdacc1a1274797a170d6d1b29a46995a3889dd5177f42b72f317371f
+size 1289336

preprocessing_text.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51ccf934a26b90ca2d1753d51dd3e5e5498121ba7f661ce14a232a9993667bdf
-size 8317837
+oid sha256:4fd12d3bfc5b2f8bd133598c937809456ca0f389ff9f95a22edf99494f5403f3
+size 797916