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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()
+
+import streamlit as st
+import os
+
+##Function to load Open AI model and get response
+
+def get_openai_response(question):
+    llm = OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"), model_name = "text-davinci-003", temperature = 0.6)
+    response = llm(question)
+    return response
+
+## Intialize 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 submit:
+    st.subheader("The response is")
+    st.write(response)

requirements.txt

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