coding

app.py

@@ -5,6 +5,9 @@ from langchain_community.embeddings import SentenceTransformerEmbeddings
 from langchain_community.vectorstores import FAISS
 from datasets import load_dataset
 
+# Streamlit 界面
+st.title("假知识库问答系统")
+
 # 使用 假知识 数据集
 if "data_list" not in st.session_state:
     st.session_state.data_list = []
@@ -17,7 +20,7 @@ if not st.session_state.data_list:
             data_list = []
             answer_list = []
             for example in dataset["train"]:
-                answer_list.append(example["Answer"])
+                answer_list.append(example["Question"] + example["Answer"])
                 data_list.append({"Question": example["Question"], "Answer": example["Answer"]})
             st.session_state.answer_list = answer_list
             st.session_state.data_list = data_list
@@ -106,9 +109,6 @@ def answer_question(repo_id, temperature, max_length, question):
         st.error(f"问答过程出错：{e}")
         return {"prompt": "", "answer": "An error occurred during the answering process.", "pure_answer": ""}
 
-# Streamlit 界面
-st.title("假知识库问答系统")
-
 col1, col2 = st.columns(2)
 with col1:
     gemma = st.selectbox("repo-id", ("google/gemma-2-9b-it", "google/gemma-2-2b-it", "google/recurrentgemma-2b-it"), 2)