fix bug

app.py

@@ -96,9 +96,9 @@ def predict(input, chatbot, messages, idx, answer, story_key, answer_key, known,
     if llm:
         history.append(input.replace('？', '。'))
         data = {'predict': messages1, 'idx': idx, 'isfinished': False, 'answer': answer}
-        response=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
-        if response.status_code == 200:
-            response = str(response.content, encoding="utf-8")
+        completion=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
+        if completion.status_code == 200:
+            response = str(completion.content, encoding="utf-8")
         else:
             completion = openai.ChatCompletion.create(
                 model="gpt-3.5-turbo",
@@ -109,9 +109,9 @@ def predict(input, chatbot, messages, idx, answer, story_key, answer_key, known,
         if response.startswith("是"):
             decl_msg = [{"role": "user", "content": f"请将以下内容转述为陈述句，并简化为一句话：\n{input}"}]
             data = {'predict': decl_msg, 'idx': idx, 'isfinished': False, 'answer': answer}
-            response=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
-            if response.status_code == 200:
-                summary = str(response.content, encoding="utf-8")
+            completion=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
+            if completion.status_code == 200:
+                summary = str(completion.content, encoding="utf-8")
             else:
                 summary = openai.ChatCompletion.create(
                     model="gpt-3.5-turbo",
@@ -122,9 +122,9 @@ def predict(input, chatbot, messages, idx, answer, story_key, answer_key, known,
         elif response.startswith("不是") or response.startswith("否"):
             decl_msg = [{"role": "user", "content": f"请将以下内容取反义然后转述为陈述句，并简化为一句话：\n{input}"}]
             data = {'predict': decl_msg, 'idx': idx, 'isfinished': False, 'answer': answer}
-            response=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
-            if response.status_code == 200:
-                summary = str(response.content, encoding="utf-8")
+            completion=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
+            if completion.status_code == 200:
+                summary = str(completion.content, encoding="utf-8")
             else:
                 summary = openai.ChatCompletion.create(
                     model="gpt-3.5-turbo",
@@ -139,9 +139,9 @@ def predict(input, chatbot, messages, idx, answer, story_key, answer_key, known,
             if len(reasoning) >= 2:
                 simp_msg = [{"role": "user", "content": f"请将以下内容简化为一句话：\n{' '.join(reasoning)}"}]
                 data = {'predict': simp_msg, 'idx': idx, 'isfinished': False, 'answer': answer}
-                response=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
-                if response.status_code == 200:
-                    merge = str(response.content, encoding="utf-8")
+                completion=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
+                if completion.status_code == 200:
+                    merge = str(completion.content, encoding="utf-8")
                 else:
                     merge = openai.ChatCompletion.create(
                         model="gpt-3.5-turbo",
@@ -160,9 +160,9 @@ def predict(input, chatbot, messages, idx, answer, story_key, answer_key, known,
                     continue
                 comp_msg = [{"role": "user", "content": f"请对比第一句话和第二句话之间的信息，判断第二句话是否完整地概括了第一句话的全部信息，包括关键细节和描述。请用是或否回答。\n第一句话：{key1}\n第二句话：{merge}"}]
                 data = {'predict': comp_msg, 'idx': idx, 'isfinished': False, 'answer': answer}
-                response=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
-                if response.status_code == 200:
-                    compare = str(response.content, encoding="utf-8")
+                completion=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
+                if completion.status_code == 200:
+                    compare = str(completion.content, encoding="utf-8")
                 else:
                     compare = openai.ChatCompletion.create(
                         model="gpt-3.5-turbo",
@@ -173,9 +173,9 @@ def predict(input, chatbot, messages, idx, answer, story_key, answer_key, known,
                     vote = 1
                     comp_msg += [{"role": "assistant", "content": "是"},{"role": "user", "content": f"请对���第一句话和第二句话之间的信息，判断第二句话是否完整地概括了第一句话的全部信息，包括关键细节和描述。请用是或否回答。\n第一句话：{key1}\n第二句话：{merge}"}]
                     data = {'predict': comp_msg, 'idx': idx, 'isfinished': False, 'answer': answer}
-                    response=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
-                    if response.status_code == 200:
-                        compare = str(response.content, encoding="utf-8")
+                    completion=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
+                    if completion.status_code == 200:
+                        compare = str(completion.content, encoding="utf-8")
                     else:
                         compare = openai.ChatCompletion.create(
                             model="gpt-3.5-turbo",
@@ -186,9 +186,9 @@ def predict(input, chatbot, messages, idx, answer, story_key, answer_key, known,
                         vote += 1
                     comp_msg += [{"role": "assistant", "content": compare},{"role": "user", "content": f"请对比第一句话和第二句话之间的信息，判断第二句话是否完整地概括了第一句话的全部信息，包括关键细节和描述。请用是或否回答。\n第一句话：{key1}\n第二句话：{merge}"}]
                     data = {'predict': comp_msg, 'idx': idx, 'isfinished': False, 'answer': answer}
-                    response=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
-                    if response.status_code == 200:
-                        compare = str(response.content, encoding="utf-8")
+                    completion=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
+                    if completion.status_code == 200:
+                        compare = str(completion.content, encoding="utf-8")
                     else:
                         compare = openai.ChatCompletion.create(
                             model="gpt-3.5-turbo",