├── requirements.txt
├── .streamlit
    └── config.toml
├── README.md
└── streamlit_app.py


/requirements.txt:
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1 | streamlit
2 | openai
3 | 


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/.streamlit/config.toml:
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1 | [theme]
2 | primaryColor="#F63366"
3 | backgroundColor="#FFFFFF"
4 | secondaryBackgroundColor="#F0F2F6"
5 | textColor="#262730"
6 | font="sans serif"
7 | 


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/README.md:
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 1 | # 🤖💬 OpenAI Chatbot
 2 | 
 3 | A conversational chatbot built in Python using Streamlit and the OpenAI LLM model GPT 3.5.
 4 | 
 5 | ## Demo App
 6 | 
 7 | [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://openai-chatbot.streamlit.app/)
 8 | 
 9 | ## Prerequisite libraries
10 | 
11 | ```
12 | streamlit
13 | openai
14 | ```
15 | 
16 | ## Get an OpenAI API key
17 | 
18 | You can get your own OpenAI API key by following the following instructions:
19 | 1. Go to https://platform.openai.com/account/api-keys.
20 | 2. Click on the `+ Create new secret key` button.
21 | 3. Next, enter an identifier name (optional) and click on the `Create secret key` button.
22 | 
23 | ## Further Reading
24 | 
25 | - 🛠️ [Streamlit Documentation Tutorial on _**Build conversational apps**_](https://docs.streamlit.io/knowledge-base/tutorials/build-conversational-apps)
26 | - 📖 [Streamlit Documentation on _**Chat elements**_](https://docs.streamlit.io/library/api-reference/chat)
27 | 


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/streamlit_app.py:
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 1 | # Code refactored from https://docs.streamlit.io/knowledge-base/tutorials/build-conversational-apps
 2 | 
 3 | import openai
 4 | import streamlit as st
 5 | 
 6 | with st.sidebar:
 7 |     st.title('🤖💬 OpenAI Chatbot')
 8 |     if 'OPENAI_API_KEY' in st.secrets:
 9 |         st.success('API key already provided!', icon='✅')
10 |         openai.api_key = st.secrets['OPENAI_API_KEY']
11 |     else:
12 |         openai.api_key = st.text_input('Enter OpenAI API token:', type='password')
13 |         if not (openai.api_key.startswith('sk-') and len(openai.api_key)==51):
14 |             st.warning('Please enter your credentials!', icon='⚠️')
15 |         else:
16 |             st.success('Proceed to entering your prompt message!', icon='👉')
17 | 
18 | if "messages" not in st.session_state:
19 |     st.session_state.messages = []
20 | 
21 | for message in st.session_state.messages:
22 |     with st.chat_message(message["role"]):
23 |         st.markdown(message["content"])
24 | 
25 | if prompt := st.chat_input("What is up?"):
26 |     st.session_state.messages.append({"role": "user", "content": prompt})
27 |     with st.chat_message("user"):
28 |         st.markdown(prompt)
29 |     with st.chat_message("assistant"):
30 |         message_placeholder = st.empty()
31 |         full_response = ""
32 |         for response in openai.ChatCompletion.create(
33 |             model="gpt-3.5-turbo",
34 |             messages=[{"role": m["role"], "content": m["content"]}
35 |                       for m in st.session_state.messages], stream=True):
36 |             full_response += response.choices[0].delta.get("content", "")
37 |             message_placeholder.markdown(full_response + "▌")
38 |         message_placeholder.markdown(full_response)
39 |     st.session_state.messages.append({"role": "assistant", "content": full_response})
40 | 


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