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.env

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+OPEN_AI_KEY=""

app.py

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+from langchain.llms import OpenAI
+import streamlit as st
+from dotenv import load_dotenv
+load_dotenv()
+import os
+os.environ["OPEN_AI_KEY"]="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"
+
+# print(llm.predict("what is the diffrence bw client and user"))
+
+# create a openai question
+def get_open_ai_response(question):
+    
+    llm=OpenAI(openai_api_key=os.getenv("OPEN_AI_KEY"),temperature=0.6)
+    response=llm(question)
+    return response
+
+# Build streamlit App
+st.set_page_config(page_title="Q&A Application")
+st.header("LangChain Application ")
+
+input_text=st.text_input("Input: ",key="input")
+response=get_open_ai_response(input_text)
+
+submit=st.button("Ask the Question")
+
+if submit:
+    st.subheader("The Response is  ")
+    st.write(response)

requirement.txt

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+langchain
+openai
+huggingface_hub
+
+python_dotenv
+streamlit