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fa1ff63
1
Parent(s):
423d2e0
Update app.py
Browse files
app.py
CHANGED
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@@ -10,13 +10,12 @@ def add_user_message(user_message, chat_tutor):
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return chat_tutor.conversation_memory, chat_tutor
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def get_tutor_reply(chat_tutor):
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chat_tutor.get_tutor_reply(
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return gr.update(value="", interactive=True), chat_tutor.conversation_memory, chat_tutor
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def get_conversation_history(chat_tutor):
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return chat_tutor.conversation_memory, chat_tutor
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-
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### Instructor Interface Helper Functions ###
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def get_instructor_prompt(fileobj):
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file_path = fileobj.name
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@@ -50,18 +49,15 @@ with gr.Blocks() as demo:
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user_chat_input = gr.Textbox(label="User input", scale=9)
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user_chat_submit = gr.Button("Ask/answer model", scale=1)
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user_chat_submit.click(
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add_user_message,
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[user_chat_input, study_tutor],
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[chatbot, study_tutor],
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queue=False
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).then(
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get_tutor_reply,
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[user_chat_input, chatbot, study_tutor],
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queue=True)
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# Testing
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test_btn = gr.Button("View your chat history")
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chat_history = gr.JSON(label = "conversation history")
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test_btn.click(get_conversation_history, inputs=[study_tutor], outputs=[chat_history, study_tutor])
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@@ -87,7 +83,6 @@ with gr.Blocks() as demo:
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with gr.Tab("Instructor Only"):
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# API Authentication functionality
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# Instead of ask students to provide key, the key is now provided by the instructor
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"""
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To permanently set the key, go to Settings -> Variables and secrets -> Secrets,
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then replace OPENAI_API_KEY value with whatever openai key of the instructor.
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@@ -98,7 +93,7 @@ with gr.Blocks() as demo:
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# The instructor will provide a secret prompt/persona to the tutor
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with gr.Blocks():
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# testing purpose, change visible to False at deployment
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# Prompt instructor to upload the secret file
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file_input = gr.File(label="Load a .txt or .py file", file_types=['.py', '.txt'], type="file", elem_classes="short-height")
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@@ -115,12 +110,11 @@ with gr.Blocks() as demo:
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# Set the secret prompt in this session and embed it to the study tutor
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prompt_submit_btn = gr.Button("Submit")
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prompt_submit_btn.click(
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fn=embed_prompt, inputs=[instructor_prompt], outputs=[
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).then(
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fn=create_reference_store,
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inputs=[study_tutor, prompt_submit_btn, instructor_prompt, file_input_none, instructor_input_none, api_input, learning_objectives_none],
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outputs=[study_tutor, prompt_submit_btn]
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)
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# TODO: may need a way to set the secret prompt permanently in settings/secret
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demo.queue().launch(server_name='0.0.0.0', server_port=7860)
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return chat_tutor.conversation_memory, chat_tutor
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def get_tutor_reply(chat_tutor):
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chat_tutor.get_tutor_reply()
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return gr.update(value="", interactive=True), chat_tutor.conversation_memory, chat_tutor
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def get_conversation_history(chat_tutor):
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return chat_tutor.conversation_memory, chat_tutor
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### Instructor Interface Helper Functions ###
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def get_instructor_prompt(fileobj):
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file_path = fileobj.name
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user_chat_input = gr.Textbox(label="User input", scale=9)
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user_chat_submit = gr.Button("Ask/answer model", scale=1)
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# First add user's message to the conversation history
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# Then get reply from the tutor and add that to the conversation history
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user_chat_submit.click(
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fn = add_user_message, inputs = [user_chat_input, study_tutor], outputs = [chatbot, study_tutor], queue=False
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).then(
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fn = get_tutor_reply, inputs = [study_tutor], outputs = [user_chat_input, chatbot, study_tutor], queue=True
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)
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# Testing the chat history storage, can be deleted at deployment
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test_btn = gr.Button("View your chat history")
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chat_history = gr.JSON(label = "conversation history")
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test_btn.click(get_conversation_history, inputs=[study_tutor], outputs=[chat_history, study_tutor])
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with gr.Tab("Instructor Only"):
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# API Authentication functionality
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# Instead of ask students to provide key, the key is now provided by the instructor
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"""
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To permanently set the key, go to Settings -> Variables and secrets -> Secrets,
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then replace OPENAI_API_KEY value with whatever openai key of the instructor.
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# The instructor will provide a secret prompt/persona to the tutor
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with gr.Blocks():
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# testing purpose, change visible to False at deployment
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view_secret = gr.Textbox(label="Current secret prompt", value=os.environ.get("SECRET_PROMPT"), visible=False)
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# Prompt instructor to upload the secret file
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file_input = gr.File(label="Load a .txt or .py file", file_types=['.py', '.txt'], type="file", elem_classes="short-height")
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# Set the secret prompt in this session and embed it to the study tutor
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prompt_submit_btn = gr.Button("Submit")
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prompt_submit_btn.click(
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fn=embed_prompt, inputs=[instructor_prompt], outputs=[view_secret]
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).then(
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fn=create_reference_store,
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inputs=[study_tutor, prompt_submit_btn, instructor_prompt, file_input_none, instructor_input_none, api_input, learning_objectives_none],
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outputs=[study_tutor, prompt_submit_btn]
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)
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demo.queue().launch(server_name='0.0.0.0', server_port=7860)
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