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app.py

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+from langchain.llms import OpenAI
+from dotenv import load_dotenv
+load_dotenv()
+import streamlit as st
+import os
+
+
+# Function to load OpenAI model and get response
+def get_openAI_respnse(question):
+    llm = OpenAI(model_name="text-davinci-003", temperature=0.5)
+    response = llm(question)
+    return response
+
+
+## Intitialize Streamlit app
+st.set_page_config(page_title = "Q&A Demo")
+st.header("LangChain App")
+
+input = st.text_input("Enter your question here", key="input")
+response = get_openAI_respnse(input)
+
+submit = st.button("Generate")
+
+
+#If submit 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