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import streamlit as st | |
import os | |
import openai | |
from openai import OpenAI | |
# App title | |
st.set_page_config(page_title="π¬ Open AI Chatbot") | |
# Replicate Credentials | |
with st.sidebar: | |
st.title('π¬ Open AI Chatbot') | |
st.write('This chatbot is created using the GPT model from Open AI.') | |
if 'OPENAI_API_KEY' in st.secrets: | |
st.success('API key already provided!', icon='β ') | |
openai_api = st.secrets['OPENAI_API_KEY'] | |
else: | |
openai_api = st.text_input('Enter OpenAI API token:', type='password') | |
if not (openai_api.startswith('sk-') and len(openai_api)==51): | |
st.warning('Please enter your credentials!', icon='β οΈ') | |
else: | |
st.success('Proceed to entering your prompt message!', icon='π') | |
os.environ['OPENAI_API_KEY'] = openai_api | |
st.subheader('Models and parameters') | |
selected_model = st.sidebar.selectbox('Choose an OpenAI model', ['gpt-3.5-turbo-1106', 'gpt-4-1106-preview'], key='selected_model') | |
temperature = st.sidebar.slider('temperature', min_value=0.01, max_value=2.0, value=0.1, step=0.01) | |
st.markdown('π Reach out to Sakimilo to learn how to create this app!') | |
# Store LLM generated responses | |
if "messages" not in st.session_state.keys(): | |
st.session_state.messages = [{"role": "assistant", "content": "How may I assist you today?"}] | |
# Display or clear chat messages | |
for message in st.session_state.messages: | |
with st.chat_message(message["role"]): | |
st.write(message["content"]) | |
def clear_chat_history(): | |
st.session_state.messages = [{"role": "assistant", "content": "How may I assist you today?"}] | |
st.sidebar.button('Clear Chat History', on_click=clear_chat_history) | |
def generate_llm_response(client, prompt_input): | |
system_content = ("You are a helpful assistant. " | |
"You do not respond as 'User' or pretend to be 'User'. " | |
"You only respond once as 'Assistant'." | |
) | |
completion = client.chat.completions.create( | |
model=selected_model, | |
messages=[ | |
{"role": "system", "content": system_content}, | |
] + st.session_state.messages, | |
temperature=temperature, | |
stream=True | |
) | |
return completion | |
# User-provided prompt | |
if prompt := st.chat_input(disabled=not openai_api): | |
client = OpenAI() | |
st.session_state.messages.append({"role": "user", "content": prompt}) | |
with st.chat_message("user"): | |
st.write(prompt) | |
# Generate a new response if last message is not from assistant | |
if st.session_state.messages[-1]["role"] != "assistant": | |
with st.chat_message("assistant"): | |
with st.spinner("Thinking..."): | |
response = generate_llm_response(client, prompt) | |
placeholder = st.empty() | |
full_response = '' | |
for chunk in response: | |
if chunk.choices[0].delta.content is not None: | |
full_response += chunk.choices[0].delta.content | |
placeholder.markdown(full_response) | |
placeholder.markdown(full_response) | |
message = {"role": "assistant", "content": full_response} | |
st.session_state.messages.append(message) |