dev(hansbug): add uuid_ to page

app.py

@@ -1,4 +1,5 @@
 import os
+import uuid
 
 import gradio as gr
 
@@ -6,6 +7,7 @@ from llmriddles.questions import QuestionExecutor
 from llmriddles.questions import list_ordered_questions
 
 _QUESTION_ID = -1
+_QUESTION_IDS = {}
 _QUESTIONS = list_ordered_questions()
 _LANG = os.environ.get('QUESTION_LANG', 'cn')
 _LLM = os.environ.get('QUESTION_LLM', 'chatgpt')
@@ -34,54 +36,67 @@ if __name__ == '__main__':
             with gr.Column():
                 gr_api_key = gr.Text(placeholder='Your API Key', label='API Key', type='password',
                                      visible=_need_api_key())
+                gr_uuid = gr.Text(value='')
                 gr_predict = gr.Label(label='Correctness')
                 gr_explanation = gr.TextArea(label='Explanation')
                 gr_next = gr.Button('Next')
 
 
-        def _next_question():
-            global _QUESTION_ID
-            _QUESTION_ID += 1
+        def _next_question(uuid_):
+            if not uuid_:
+                uuid_ = str(uuid.uuid4())
+            global _QUESTION_IDS
+            _qid = _QUESTION_IDS.get(uuid_, -1)
+            _qid += 1
+            _QUESTION_IDS[uuid_] = _qid
+            print(_QUESTION_IDS)
 
             if _QUESTION_ID >= len(_QUESTIONS):
                 return 'Congratulations!', '', '', {}, '', \
                     gr.Button('Submit', interactive=False), \
-                    gr.Button('Next', interactive=False)
+                    gr.Button('Next', interactive=False), \
+                    uuid_
             else:
                 executor = QuestionExecutor(_QUESTIONS[_QUESTION_ID], _LANG)
                 return executor.question_text, '', '', {}, '', \
                     gr.Button('Submit', interactive=True), \
-                    gr.Button('Next', interactive=False)
+                    gr.Button('Next', interactive=False), \
+                    uuid_
 
 
         gr_next.click(
             fn=_next_question,
-            inputs=[],
-            outputs=[gr_requirement, gr_question, gr_answer, gr_predict, gr_explanation, gr_submit, gr_next],
+            inputs=[gr_uuid],
+            outputs=[
+                gr_requirement, gr_question, gr_answer,
+                gr_predict, gr_explanation, gr_submit, gr_next, gr_uuid,
+            ],
         )
 
 
-        def _submit_answer(qs_text: str, api_key: str):
+        def _submit_answer(qs_text: str, api_key: str, uuid_: str):
             if _need_api_key() and not api_key:
                 return '---', {}, 'Please Enter API Key Before Submitting Question.', \
                     gr.Button('Next', interactive=False)
 
+            print(_QUESTION_IDS)
+            _qid = _QUESTION_IDS[uuid_]
             executor = QuestionExecutor(
-                _QUESTIONS[_QUESTION_ID], _LANG,
+                _QUESTIONS[_qid], _LANG,
                 llm=_LLM, llm_cfgs=_get_api_key_cfgs(api_key) if _need_api_key() else {}
             )
             answer_text, correctness, explanation = executor.check(qs_text)
             labels = {'Correct': 1.0} if correctness else {'Wrong': 1.0}
             if correctness:
-                return answer_text, labels, explanation, gr.Button('Next', interactive=True)
+                return answer_text, labels, explanation, gr.Button('Next', interactive=True), uuid_
             else:
-                return answer_text, labels, explanation, gr.Button('Next', interactive=False)
+                return answer_text, labels, explanation, gr.Button('Next', interactive=False), uuid_
 
 
         gr_submit.click(
             _submit_answer,
-            inputs=[gr_question, gr_api_key],
-            outputs=[gr_answer, gr_predict, gr_explanation, gr_next],
+            inputs=[gr_question, gr_api_key, gr_uuid],
+            outputs=[gr_answer, gr_predict, gr_explanation, gr_next, gr_uuid],
         )
 
     demo.launch()