Update app.py

app.py

@@ -34,10 +34,11 @@ def data_ingestion(filepath):
             embeddings = model.encoder(**inputs).last_hidden_state.mean(dim=1).cpu().numpy()
         return embeddings
 
-    db = Chroma.from_documents(texts, embedding_function=embedding_function, persist_directory="db")
+    db = Chroma.from_documents(texts, persist_directory="db", embedding_function=embedding_function)
     db.persist()
     db = None
 
+
 @st.cache_resource
 def llm_pipeline():
     pipe = pipeline(