Update app.py

app.py

@@ -2,19 +2,22 @@ import numpy as np
 from sentence_transformers import SentenceTransformer
 from sklearn.metrics.pairwise import cosine_similarity
 from shiny import App, render, ui
+import pandas as pd
 
 # Initialize the sentence transformer model
 model = SentenceTransformer('all-MiniLM-L6-v2')
 
 # Sample queries
-queries = [
-    "What is the weather today?",
-    "How to learn Python?",
-    "Best practices for data science.",
-    "What is the capital of France?",
-    "How to cook pasta?",
+#queries = [
+#    "What is the weather today?",
+#    "How to learn Python?",
+#    "Best practices for data science.",
+#    "What is the capital of France?",
+#    "How to cook pasta?",
     # ... (other queries)
-]
+#]
+
+queries = pd.read_excel("egu_session_descriptions.xlsx").Description
 
 # Precompute embeddings for the queries
 query_embeddings = model.encode(queries)