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Create A Simple Chatbot Using Streamlit






What Is Streamlit?





Library Installations




Langchain
OpenAI
python-dotenv
streamlit
langchain-openai




pip install -r requirements.txt



Create A .ENV File




OPEN_API_KEY="[your_key]"



Program




from langchain_openai import OpenAI
from dotenv import load_dotenv
import streamlit as st
import os

# Load environment variables
load_dotenv()

# Function to load the OpenAI model and get response
def get_openai_response(question):
    llm = OpenAI(
        api_key=os.getenv("OPEN_API_KEY"),
        temperature=0.5
    )
    response = llm.invoke(question)
    return response


# Initialize Streamlit app
st.set_page_config(page_title="Q&A Demo")
st.header("LangChain Application")
user_input = st.text_input("Input: ", key="input")
submit = st.button("Ask the question")

# If ask button is clicked
if submit:
    if user_input:
        response = get_openai_response(user_input)
        st.subheader("The response is")
        st.write(response)
    else:
        st.warning("Please enter a question.")



Output


Picture showing the simple chatbot using streamlit





Posted By  -  Karan Gupta
 
Posted On  -  Monday, May 18, 2026

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