Fix

app.py

@@ -186,10 +186,10 @@ with col1:
         "Select a programming language",
         ("SQL", "Python"),
     )
-if selected_language == 'SQL':
+if selected_language == 'Binder SQL':
     args.prompt_file = 'templates/prompts/prompt_wikitq_v3.txt'
     args.generate_type = 'nsql'
-elif selected_language == 'Python':
+elif selected_language == 'Binder Python':
     args.prompt_file = 'templates/prompts/prompt_wikitq_python_simplified_v4.txt'
     args.generate_type = 'npython'
 else:
@@ -212,13 +212,13 @@ with st.spinner("Generating Binder program to solve the question...will be finis
 
 # Do execution
 st.subheader("Binder program")
-if selected_language == 'SQL':
+if selected_language == 'Binder SQL':
     st.markdown('```sql\n' + binder_program + '\n```')
     # st.markdown('```' + binder_program + '```')
     # with st.container():
     #     st.write(binder_program)
     executor = NSQLExecutor(args, keys=keys)
-elif selected_language == 'Python':
+elif selected_language == 'Binder Python':
     st.code(binder_program, language='python')
     executor = NPythonExecutor(args, keys=keys)
     db = db.get_table_df()
@@ -229,7 +229,7 @@ try:
     os.makedirs('tmp_for_vis/', exist_ok=True)
     with st.spinner("Executing... will be finished in 30s, please refresh the page if not"):
         exec_answer = executor.nsql_exec(stamp, binder_program, db)
-    if selected_language == 'SQL':
+    if selected_language == 'Binder SQL':
         with open("tmp_for_vis/{}_tmp_for_vis_steps.txt".format(stamp), "r") as f:
             steps = json.load(f)
         for i, step in enumerate(steps):
@@ -254,9 +254,9 @@ try:
                 st.markdown('$\\rightarrow$')
                 if i == len(steps) - 1:
                     # The final step
-                    st.markdown("{} Interpreter".format(selected_language))
+                    st.markdown("Execute {} Interpreter".format(selected_language))
                 else:
-                    st.markdown("Codex")
+                    st.markdown("Prompt GPT3 Codex")
             with st.spinner('...'):
                 time.sleep(1)
             with open("tmp_for_vis/{}_result_step_{}.txt".format(stamp, i), "r") as f:
@@ -276,7 +276,7 @@ try:
                     st.markdown(result_in_this_step)
             with st.spinner('...'):
                 time.sleep(1)
-    elif selected_language == 'Python':
+    elif selected_language == 'Binder Python':
         pass
     if isinstance(exec_answer, list) and len(exec_answer) == 1:
         exec_answer = exec_answer[0]

resources/demo_description.md

@@ -1,5 +1,8 @@
 This is an interactive demo of Binder based on GPT3 Codex.
 You can input a question about the table (maybe requiring external knowledge/functionality), and a Binder program will be generated and executed to derive the output answer.
+For more details, check out our [website](https://lm-code-binder.github.io/).
 
-*Note:* Codex has query limits for openai keys, thus it may be slow in generation/execution when (high) concurrent requests occur.
+
+*Note:* 1) Codex has query limits for openai keys, thus it may be slow in generation/execution when (high) concurrent requests occur.
 We are trying to make the demo faster and more robust, please let us know if you have any feedback!
+2) This page is just for demonstration, so we generate fewer program for speeding up, please check the [paper](https://arxiv.org/abs/2210.02875) and [code](https://github.com/HKUNLP/Binder) on majority vote and weight bias better result.