Update app.py

app.py

@@ -40,7 +40,7 @@ def read_pdf(file):
         logging.error(f"Failed to extract text: {e}")
         return ""
 
-# --- Process Answer ---
+# --- Process Answer ---dd
 def process_answer(question, full_text):
     # Save the full_text to a temporary file
     with open("temp_text.txt", "w") as f:
@@ -54,7 +54,7 @@ def process_answer(question, full_text):
     splits = text_splitter.split_documents(docs)
 
     # Load embeddings
-    embeddings = SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
+    embeddings = SentenceTransformerEmbeddings(model_name="BAAI/bge-base-en-v1.5")
 
     # Create Chroma in-memory vector store
     db = Chroma.from_documents(splits, embedding=embeddings)