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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()  # takes the enveronment vareable from .env
+
+import streamlit as st
+import os
+
+## function to lad the openai model and to get the response
+
+os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
+
+
+def get_openai_response(question):
+    llm = OpenAI(model_name="gpt-3.5-turbo-0125",temperature =0.6)
+    response = llm(question)
+    return response
+#initialize out 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("generate")
+
+
+if submit:
+    st.subheader("The response is ")
+    st.write(response)

requirement.txt

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