moment.pop('transcript', None)

app.py

@@ -1014,8 +1014,12 @@ def get_questions(video_id, df_string, source="gcs"):
 
 def generate_questions(df_string):
     # 使用 OpenAI 生成基于上传数据的问题
-    df_string_json = json.loads(df_string)
+    if isinstance(df_string, str):
+        df_string_json = json.loads(df_string)
+    else:
+        df_string_json = df_string
     content_text = ""
+
     for entry in df_string_json:
         content_text += entry["text"] + "，"
 
@@ -1706,7 +1710,7 @@ def chat_with_ai(ai_name, password, video_id, trascript_state, key_moments, user
     for moment in key_moments_json:
         moment.pop('images', None)
         moment.pop('end', None)
-        moment.pop('text', None)
+        moment.pop('transcript', None)
     key_moments_text = json.dumps(key_moments_json, ensure_ascii=False)
 
     instructions = get_instructions(content_subject, content_grade, key_moments_text)
@@ -1781,7 +1785,7 @@ def chat_with_opan_ai_assistant(password, youtube_id, thread_id, trascript_state
         for moment in key_moments_json:
             moment.pop('images', None)
             moment.pop('end', None)
-            moment.pop('text', None)
+            moment.pop('transcript', None)
         key_moments_text = json.dumps(key_moments_json, ensure_ascii=False)
         
         instructions = get_instructions(content_subject, content_grade, key_moments_text)