knownledge base answer fix

pilot/conversation.py

@@ -158,6 +158,12 @@ conv_qa_prompt_template = """ 基于以下已知的信息, 专业、详细的回
 
 default_conversation = conv_one_shot
 
+conversation_types = {
+    "native": "LLM原生对话",
+    "default_knownledge": "默认知识库对话",
+    "custome":  "新增知识库对话",
+}
+
 conv_templates = {
     "conv_one_shot": conv_one_shot,
     "vicuna_v1": conv_vicuna_v1,

pilot/server/vectordb_qa.py

@@ -4,7 +4,6 @@
 from pilot.vector_store.file_loader import KnownLedge2Vector
 from langchain.prompts import PromptTemplate
 from pilot.conversation import conv_qa_prompt_template
-from langchain.chains import RetrievalQA
 from pilot.configs.model_config import VECTOR_SEARCH_TOP_K
 from pilot.model.vicuna_llm import VicunaLLM
 

pilot/server/webserver.py

@@ -11,6 +11,7 @@ import datetime
 import requests
 from urllib.parse import urljoin
 from pilot.configs.model_config import DB_SETTINGS
+from pilot.server.vectordb_qa import KnownLedgeBaseQA
 from pilot.connections.mysql_conn import MySQLOperator
 from pilot.vector_store.extract_tovec import get_vector_storelist, load_knownledge_from_doc, knownledge_tovec_st
 
@@ -19,6 +20,7 @@ from pilot.configs.model_config import LOGDIR, VICUNA_MODEL_SERVER, LLM_MODEL, D
 from pilot.conversation import (
     default_conversation,
     conv_templates,
+    conversation_types,
     SeparatorStyle
 )
 
@@ -149,7 +151,7 @@ def post_process_code(code):
         code = sep.join(blocks)
     return code
 
-def http_bot(state, db_selector, temperature, max_new_tokens, request: gr.Request):
+def http_bot(state, mode, db_selector, temperature, max_new_tokens, request: gr.Request):
     start_tstamp = time.time()
     model_name = LLM_MODEL
 
@@ -180,14 +182,12 @@ def http_bot(state, db_selector, temperature, max_new_tokens, request: gr.Reques
             new_state.append_message(new_state.roles[0], query)
             new_state.append_message(new_state.roles[1], None)
             state = new_state
-    
-    # try: 
-    #     if not db_selector: 
-    #         sim_q = get_simlar(query)
-    #         print("********vector similar info*************: ", sim_q)
-    #         state.append_message(new_state.roles[0], sim_q + query)
-    # except Exception as e:
-    #     print(e)
+
+    if mode == conversation_types["default_knownledge"] and not db_selector:
+        query = state.messages[-2][1]
+        knqa = KnownLedgeBaseQA()
+        state.messages[-2][1] = knqa.get_similar_answer(query)
+        
 
     prompt = state.get_prompt()
     
@@ -268,7 +268,7 @@ def change_tab(tab):
     pass
 
 def change_mode(mode):
-    if mode == "默认知识库对话":
+    if mode in ["默认知识库对话", "LLM原生对话"]:
         return gr.update(visible=False)
     else:
         return gr.update(visible=True)
@@ -320,7 +320,8 @@ def build_single_model_ui():
                     show_label=True).style(container=False) 
 
         with gr.TabItem("知识问答", elem_id="QA"):
-            mode = gr.Radio(["默认知识库对话", "新增知识库"], show_label=False, value="默认知识库对话")
+            
+            mode = gr.Radio(["LLM原生对话", "默认知识库对话", "新增知识库对话"], show_label=False, value="LLM原生对话")
             vs_setting = gr.Accordion("配置知识库", open=False)
             mode.change(fn=change_mode, inputs=mode, outputs=vs_setting)
             with vs_setting:
@@ -365,7 +366,7 @@ def build_single_model_ui():
     btn_list = [regenerate_btn, clear_btn]
     regenerate_btn.click(regenerate, state, [state, chatbot, textbox] + btn_list).then(
         http_bot,
-        [state, db_selector, temperature, max_output_tokens],
+        [state, mode, db_selector, temperature, max_output_tokens],
         [state, chatbot] + btn_list,
     )
     clear_btn.click(clear_history, None, [state, chatbot, textbox] + btn_list)
@@ -374,7 +375,7 @@ def build_single_model_ui():
         add_text, [state, textbox], [state, chatbot, textbox] + btn_list
     ).then(
         http_bot,
-        [state, db_selector, temperature, max_output_tokens],
+        [state, mode, db_selector, temperature, max_output_tokens],
         [state, chatbot] + btn_list,
     )
 
@@ -382,7 +383,7 @@ def build_single_model_ui():
         add_text, [state, textbox], [state, chatbot, textbox] + btn_list
     ).then(
         http_bot,
-        [state, db_selector, temperature, max_output_tokens],
+        [state, mode, db_selector, temperature, max_output_tokens],
         [state, chatbot] + btn_list
     )