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app.py

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+# Question Answers Chatbot 
+
+from langchain.llms import OpenAI
+
+#from dotenv import load_dotenv
+
+#load_dotenv()     ## Take environment variables from .env file
+import os
+import streamlit as st 
+
+## Function to Load OpenAi model and get responses +================>
+
+
+from langchain.llms import OpenAI
+import os 
+
+
+
+def get_openai_response(question):
+    llm=OpenAI(model_name="gpt-3.5-turbo-instruct",temperature=0.5)
+    response=llm(question)
+    return response
+
+##initialize 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_openai_response(input)
+
+
+submit=st.button("Here is Your Answer")
+
+## If ask button is clicked
+
+if submit:
+    st.subheader("The Response is")
+    st.write(response)
+
+
+
+##initialize our streamlit app
+
+
+
+## If ask button is clicked

requirement.txt

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+langchain
+openai
+huggingface_hub
+
+langchain-community