Update app.py

app.py

@@ -37,7 +37,7 @@ def create_retriever_from_chroma(vectorstore_path="./docs/chroma/", search_type=
     
     model_name = "Alibaba-NLP/gte-base-en-v1.5"
     model_kwargs = {'device': 'cpu',
-                   "trust_remote_code" : 'True'}
+                   "trust_remote_code" : 'False'}
     encode_kwargs = {'normalize_embeddings': True}
     embeddings = HuggingFaceEmbeddings(
         model_name=model_name,
@@ -177,7 +177,7 @@ def create_conversational_rag_chain(retriever):
         verbose=False,
     )
 
-    template = """Answer the question using English language, based only on context:
+    template = """Answer the question using natural language, based only on context:
     {context}. Be consise.
     Question: {question}
     """