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| # Q&A Chatbot | |
| from langchain.llms import OpenAI | |
| #from dotenv import load_dotenv | |
| #load_dotenv() # take environment variables from .env. | |
| import streamlit as st | |
| import os | |
| os.environ["OPENAI_API_KEY"] = "sk-proj-KIJYnG1AFw9FHgI6DqVjT3BlbkFJ71Fjr8S0pvaPlfpXJjUP" | |
| ## Function to load OpenAI model and get respones | |
| def get_openai_response(question): | |
| llm=OpenAI(openai_api_key = os.environ.get("OPENAI_API_KEY"),model_name="gpt-3.5-turbo-instruct",temperature=0.5) | |
| response=llm(question) | |
| return response | |
| ##initialize our streamlit app | |
| st.set_page_config(page_title="Q&A Demo") | |
| st.header("Langchain Application") | |
| input=st.text_input("Input: ",key="input") | |
| response=get_openai_response(input) | |
| submit=st.button("Ask the question") | |
| ## If ask button is clicked | |
| if submit: | |
| st.subheader("The Response is") | |
| st.write(response) | |