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app.py

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+# Q&A ChatBot
+from langchain.llms import OpenAI 
+from dotenv import load_dotenv
+
+load_dotenv() # take environment varialbes from .env
+
+import streamlit as st
+import os
+
+
+## Function to load OpenAi model and get responses
+
+def get_open_response(question):
+    llm= OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"), model_name="text-davinci-003", temperature=0.5)
+    response=llm(question)
+    return response
+
+## Initialise 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_open_response(input)
+submit = st.button("Generate")
+
+## If Generate button is clicked
+
+if submit:
+    st.subheader("The Reponse is")
+    st.write(response)

requirements.txt

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