Update app.py

app.py

@@ -4,7 +4,7 @@ import pandas as pd
 from functools import partial
 from ai_classroom_suite.UIBaseComponents import *
 
-### Chatbot Functions ###
+### User Interface Chatbot Functions ###
 def get_tutor_reply(chat_tutor):
   chat_tutor.get_tutor_reply()
   return gr.update(value="", interactive=True), chat_tutor.conversation_memory, chat_tutor
@@ -25,7 +25,6 @@ def embed_prompt(instructor_prompt):
     
 ### User Interfaces ###
 with gr.Blocks() as demo:
-    
     #initialize tutor (with state)
     study_tutor = gr.State(SlightlyDelusionalTutor())
 
@@ -77,9 +76,9 @@ with gr.Blocks() as demo:
 
     # Instructor interface
     with gr.Tab("Instructor Only"):
-        # API Authentication functionality
-        # Instead of ask students to provide key, the key is now provided by the instructor
         """
+        API Authentication functionality
+        Instead of ask students to provide key, the key is now provided by the instructor. 
         To permanently set the key, go to Settings -> Variables and secrets -> Secrets, 
         then replace OPENAI_API_KEY value with whatever openai key of the instructor.
         """
@@ -99,6 +98,7 @@ with gr.Blocks() as demo:
             file_input.upload(fn=get_instructor_prompt, inputs=file_input, outputs=instructor_prompt)
 
             # Placeholders components
+            text_input_none = gr.Textbox(visible=False)
             file_input_none = gr.File(visible=False)
             instructor_input_none = gr.TextArea(visible=False)
             learning_objectives_none = gr.Textbox(visible=False)
@@ -109,8 +109,17 @@ with gr.Blocks() as demo:
                 fn=embed_prompt, inputs=[instructor_prompt], outputs=[view_secret]
             ).then(
                 fn=create_reference_store, 
-                inputs=[study_tutor, prompt_submit_btn, instructor_prompt, file_input_none, instructor_input_none, api_input, learning_objectives_none],
+                inputs=[study_tutor, prompt_submit_btn, instructor_prompt, file_input_none, instructor_input_none, api_input, instructor_prompt],
                 outputs=[study_tutor, prompt_submit_btn]
             )
+            
+            # TODO: The instructor prompt is now only set in session if not go to Settings/secret, 
+            # to "permanently" set the secret prompt not seen by the students who use this space, 
+            # one possible way is to recreate the instructor interface in another space, 
+            # and load it here to chain with the student interface
+            
+            # TODO: Currently, the instructor prompt is handled as text input and stored in the vector store (and in the learning objective),
+            # which means the tutor now is still a question-answering tutor who viewed the prompt as context input. 
+            # We need to find a way to provide the prompt directly to the model and set its status. 
     
 demo.queue().launch(server_name='0.0.0.0', server_port=7860)