update

app.py

@@ -1,11 +1,11 @@
 import streamlit as st
 import pandas as pd
-from streamlit_gsheets import GSheetsConnection
+
 
 def load_data():
-    GSheetsConnection = "https://docs.google.com/spreadsheets/d/1Ui9gZoSKxSIW0B7fG8ryuN0nhkVhAckFxl2hWf6CaJQ/edit?usp=sharing"
-    conn = st.connection("gsheets", type=GSheetsConnection)
-    df = conn.read()
+    with open("data.jsonl", 'r', encoding='utf-8') as file:
+        data = [json.loads(line) for line in file]
+    df = pd.DataFrame(data)
     return df
 
 def case_insensitive_search(data, query, column):

data.jsonl

@@ -0,0 +1,3 @@
+{"Framework":"naive_RAG","Chat Model":"GPT-4","Embedding Model":"voyage-02","Reranker Model":"BAAI\/bge-reranker-large","Chunk Size":256,"MRR@10":0.3934,"Hit@10":0.6506,"Accuracy":0.56}
+{"Framework":"naive_RAG","Chat Model":"ChatGPT","Embedding Model":"voyage-02","Reranker Model":"BAAI\/bge-reranker-large","Chunk Size":256,"MRR@10":0.3934,"Hit@10":0.6506,"Accuracy":0.44}
+{"Framework":"naive_RAG","Chat Model":"Llama-2-70b-chat-hf","Embedding Model":"voyage-02","Reranker Model":"BAAI\/bge-reranker-large","Chunk Size":256,"MRR@10":0.3934,"Hit@10":0.6506,"Accuracy":0.28}