Update app.py

app.py

@@ -26,9 +26,19 @@ from langchain_core.documents import Document
 groq_api_key = os.getenv("GROQ_API_KEY")
 
 # Initialize Embeddings and ChromaDB
-embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
+try:
+    embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
+except ImportError:
+    # Fallback if sentence-transformers is not available
+    print("sentence-transformers not available, trying alternative model...")
+    embedding_model = HuggingFaceEmbeddings(model_name="BAAI/bge-small-en-v1.5")
+
 vectorstore = Chroma(embedding_function=embedding_model)
 
+# Initialize Embeddings and ChromaDB
+#embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
+#vectorstore = Chroma(embedding_function=embedding_model)
+
 # Short-term memory for the LLM
 chat_memory = []