Moving the IA text box back to the top of the page. (#32)

* Initial commit

Adding the Aimon Rely README, images, the postman collection, a simple client and examples.

A few small changes for error handling in the client and the example application.

Getting the Aimon API key from the streamlit app

updating README

Updating langchain example gif

Updating API endpoint

Adding V2 API with support for conciseness, completeness and toxicity checks (#1)

* Adding V2 API with support for conciseness, completeness and toxicity checks.

* Removing prints and updating config for the example application.

* Updating README

---------

Co-authored-by: Preetam Joshi <info@aimon.ai>

Updating postman collection

Fixed the simple aimon client's handling of batch requests.

Updated postman collection. Added support for a user_query parameter in the input data dictionary.

Updating readme

Fixed bug in the example app

Uploading client code

Adding more convenience APIs

Fixing bug in create_dataset

Added Github actions config to publish to PyPI. Cleaned up dependencies and updated documentation.

Fixing langchain example

Fixing doc links

Formatting changes

Changes for aimon-rely

* Adding instruction adherence and hallucination v0.2 to the client

Updating git ignore

Adding more to gitignore

Removing .idea files

* Fixing doc string

* Updating documentation

* Updating Client to use V3 API

* Fixing test

* Updating tests

* Updating documentation in the client

* Adding .streamlit dir to .gitignore

* initial version of decorators for syntactic sugar

* A few more changes

* updating analyze and detect decorators

* Adding new notebooks

* Fixing bug in analyze decorator

* Updating Detect decorator to make it simpler. Adding Metaflow example. Adding documentation for the chatbot.

* fixing chatbot example

* Fixed issue in detect decorator. Improved code organization.

* fixed typo

* Updated the decorators with a more cleaner interface. Added a metaflow analyze example.

* Updated version

* Updated Notebook

* Fixing context parsing issue with analyze_eval decorator

* Updating application to production in the analyze_prod decorator

* Updating SDK to handle instructions in evaluation and continuous monitoring.

* Deleting old notebook

* Fixing usability issues in the chatbot. Organizing examples a bit better.

* Adding analyze to the chatbot

* Fixing readme and adding instruction bar at the bottom

* Reverting the IA text box to be back on the top of the page

* Moving the IA text box back to the top of the page.

---------

Co-authored-by: Preetam Joshi <info@aimon.ai>

Author: pjoshi30

examples/streamlit_apps/chatbot/aimon_chatbot_demo.py

@@ -101,6 +101,10 @@ def execute():
     openai_api_key = os.getenv("OPENAI_API_KEY")
 
     openai.api_key = openai_api_key
+    instructions = st.text_input(
+        "Instructions for the chatbot. Ex: Answer the user's question in a professional tone.",
+        value="Answer the user's question in a professional tone."
+    )
     st.title("Ask questions on Paul Graham's Work Experience")
 
     if "messages" not in st.session_state.keys():  # Initialize the chat messages history
@@ -123,7 +127,7 @@ def execute():
                 "Here are the relevant documents for the context:\n"
                 "{context_str}"
                 "\nInstruction: Use the previous chat history, or the context above, to interact and help the user. " +
-                "{}".format(st.session_state.instructions if "instructions" in st.session_state else "Answer the user's question in a professional tone.")
+                "{}".format(instructions if instructions else "")
             ),
             verbose=False,
             similarity_top_k=4,
@@ -132,23 +136,18 @@ def execute():
     if cprompt := st.chat_input("Example: Where did Paul Graham Work?"):
         st.session_state.messages.append({"role": "user", "content": cprompt})
 
-
     for message in st.session_state.messages:  # Write message history to UI
         with st.chat_message(message["role"]):
             st.write(message["content"])
             if "aimon_response" in message:
                 combined_json = {"AIMon Response": message["aimon_response"], "context": message["context"]}
                 st.json(combined_json, expanded=False)
-                
-    instructions = st.text_input("Instructions for the chatbot",
-                                 value=st.session_state.instructions if "instructions" in st.session_state else "Answer the user's question in a professional tone.")
-    st.session_state.instructions = instructions if instructions else "Answer the user's question in a professional tone."
 
     # If last message is not from assistant, generate a new response
     if st.session_state.messages[-1]["role"] != "assistant":
         with st.chat_message("assistant"):
             if cprompt:
-                context, usr_prompt, instructions, response, am_res, am_analyze_res = am_chat(cprompt, st.session_state.instructions if "instructions" in st.session_state else "Answer the user's question in a professional tone.")
+                context, usr_prompt, instructions, response, am_res, am_analyze_res = am_chat(cprompt, instructions)
                 message = {"role": "assistant", "content": response}
                 am_res_json = am_res.to_json()
                 st.write(response)
@@ -158,11 +157,6 @@ def execute():
                     message.update({'aimon_response': am_res_json, 'context': {"text": context}})
                 # Add response to message history
                 st.session_state.messages.append(message)
-        instructions = st.text_input(
-            "Instructions for the chatbot. Ex: Answer the user's question in a professional tone.",
-            value="Answer the user's question in a professional tone." if "instructions" not in st.session_state else st.session_state.instructions
-        )
-        st.session_state.instructions = instructions
 
 
 try: