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app.py

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+from langchain_community.llms import OpenAI
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+import streamlit as st # importing stream lit
+import os
+
+# function to load OpenAI model and get response
+
+def get_openai_response(question):
+    llm = OpenAI(openai_api_key = os.getenv("OPEN_API_KEY"),model_name = "gpt-3.5-turbo-instruct",temperature=0.4)
+    response = llm(question)
+    return response
+
+
+# initialise 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("Ask the question")
+
+if submit:
+    st.subheader("The Response is")
+    st.write(response)

requirements.txt

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+langchain
+openai # WE DON'T INSTALL IPYNB KERNEL BECAUSE IN REQUIREMENT BECAUSE WE DON'T NEED IT IN DEPLOYEMENT
+huggingface_hub
+python-dotenv
+streamlit