修正变量名

modules/base_model.py

@@ -166,7 +166,7 @@ class BaseLLMModel:
 
     def prepare_inputs(self, inputs, use_websearch, files, reply_language):
         old_inputs = None
-        display_reference = []
+        display_append = []
         limited_context = False
         if files:
             from llama_index.indices.vector_store.base_query import GPTVectorStoreIndexQuery
@@ -216,8 +216,8 @@ class BaseLLMModel:
                 nodes = query_object.retrieve(query_bundle)
             reference_results = [n.node.text for n in nodes]
             reference_results = add_source_numbers(reference_results, use_source=False)
-            display_reference = add_details(reference_results)
-            display_reference = "\n\n" + "".join(display_reference)
+            display_append = add_details(reference_results)
+            display_append = "\n\n" + "".join(display_append)
             inputs = (
                 replace_today(PROMPT_TEMPLATE)
                 .replace("{query_str}", inputs)
@@ -233,11 +233,11 @@ class BaseLLMModel:
                 logging.debug(f"搜索结果{idx + 1}：{result}")
                 domain_name = urllib3.util.parse_url(result["href"]).host
                 reference_results.append([result["body"], result["href"]])
-                display_reference.append(
+                display_append.append(
                     f"{idx+1}. [{domain_name}]({result['href']})\n"
                 )
             reference_results = add_source_numbers(reference_results)
-            display_reference = "\n\n" + "".join(display_reference)
+            display_append = "\n\n" + "".join(display_append)
             inputs = (
                 replace_today(WEBSEARCH_PTOMPT_TEMPLATE)
                 .replace("{query}", inputs)
@@ -245,8 +245,8 @@ class BaseLLMModel:
                 .replace("{reply_language}", reply_language)
             )
         else:
-            display_reference = ""
-        return limited_context, old_inputs, display_reference, inputs
+            display_append = ""
+        return limited_context, old_inputs, display_append, inputs
 
     def predict(
         self,
@@ -268,7 +268,7 @@ class BaseLLMModel:
         if reply_language == "跟随问题语言（不稳定）":
             reply_language = "the same language as the question, such as English, 中文, 日本語, Español, Français, or Deutsch."
 
-        limited_context, old_inputs, display_reference, inputs = self.prepare_inputs(inputs=inputs, use_websearch=use_websearch, files=files, reply_language=reply_language)
+        limited_context, old_inputs, display_append, inputs = self.prepare_inputs(inputs=inputs, use_websearch=use_websearch, files=files, reply_language=reply_language)
 
         if (
             self.need_api_key and
@@ -304,7 +304,7 @@ class BaseLLMModel:
                     inputs,
                     chatbot,
                     fake_input=old_inputs,
-                    display_append=display_reference,
+                    display_append=display_append,
                 )
                 for chatbot, status_text in iter:
                     yield chatbot, status_text
@@ -314,7 +314,7 @@ class BaseLLMModel:
                     inputs,
                     chatbot,
                     fake_input=old_inputs,
-                    display_append=display_reference,
+                    display_append=display_append,
                 )
                 yield chatbot, status_text
         except Exception as e: