Update app.py

app.py

@@ -14,7 +14,12 @@ import gradio as gr
 class VectorStore:
     def __init__(self, collection_name):
        # Initialize the embedding model
-        self.embedding_model = SentenceTransformer('sentence-transformers/multi-qa-MiniLM-L6-cos-v1')
+         # Initialize the embedding model with try-except block for better error handling
+        try:
+            self.embedding_model = SentenceTransformer('sentence-transformers/multi-qa-MiniLM-L6-cos-v1')
+        except Exception as e:
+            print(f"Error loading model: {e}")
+            raise
         self.chroma_client = chromadb.Client()
         self.collection = self.chroma_client.create_collection(name=collection_name)