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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 variables from .env
+
+import streamlit as st
+import os
+
+## Function to load OpenAI model and get response
+
+def get_openai_response(question):
+    llm=OpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"),model_name="gpt-4",temperature=0.6)
+    response=llm(question)
+    return response
+
+## Initialize 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 Question")
+
+## If ask button is clicked
+
+if submit:
+        st.subheader("the response is")
+        st.write(response)
+

requirements.txt

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