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### Q&A Chatbot ###
import os
import streamlit as st
from langchain_openai import ChatOpenAI
from langchain.prompts.chat import ChatPromptTemplate
## Load Anthropic model and get response
def get_openai_response(question, api_key):
system_template = "You are a helpful coder assistant. When the user asks a question, your task is to write simple Python codes."
user_template = "{question}"
chat_prompt = ChatPromptTemplate.from_messages([
("system", system_template),
("human", user_template)
])
chat_llm = ChatOpenAI(temperature=0.5, openai_api_key=api_key)
chain = chat_prompt | chat_llm
return chain.invoke(question).content
## Initialize Streamlit app
st.set_page_config(page_title="Simple Langchain App")
st.header("Coder Q&A Demo")
OPENAI_API_KEY = st.text_input("OpenAI API Key: ", type="password")
input = st.text_input("Input: ", key=input)
response = get_openai_response(input, api_key=OPENAI_API_KEY)
submit = st.button("Ask your question...")
if submit:
st.subheader("The response is:")
st.write(response) |