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app.py

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+# Q&A Chatbot using LLMs
+
+from langchain.llms import OpenAI
+
+from dotenv import load_dotenv
+
+load_dotenv() #Fetching the environment variable from .env
+
+import streamlit as st
+import os
+
+# Function to load OpenAI model and get response
+
+def get_openai_response(question):
+    llm = OpenAI(model_name='text-davinci-003', temperature=0.5)
+    response = llm(question)
+    
+    return response
+
+# Initializing 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(question=input)
+
+submit = st.button("Ask the Question")
+
+# If ask button is clicked
+
+if submit:
+    st.subheader('The response is')
+    st.write(response)
+    
+

requirements.txt

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+langchain
+openai
+ipykernel
+huggingface_hub
+python-dotenv
+streamlit