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app.py

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+from langchain.llms import OpenAI
+from dotenv import load_dotenv
+import streamlit as st
+import os
+
+# Simple Chatbot
+
+load_dotenv() # take environment
+
+# Function to load openai model and get reponse
+def get_response_ai(question):
+    llm = OpenAI(model_name = "gpt-3.5-turbo",temperature = 0.75)
+    response = llm(question)
+    return response
+
+# initialize our streamlit app
+st.set_page_config(page_title = 'Q&A Demo')
+st.header('Langchain Application')
+
+question = st.text_input("Input :",key = "input")
+response = get_response_ai(question)
+
+submit = st.button('Ask a question')
+
+
+if submit:
+    st.subheader("The Response is ")
+    st.write(response)
+
+

requirements.txt

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+langchain
+openai
+huggingface-hub
+python-dotenv
+streamlit