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app.py

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+from langchain.llms import OpenAI
+import streamlit as st
+import os
+
+#os.environ["OPENAI_API_KEY"]=""
+
+
+#Function to return the response
+def load_answer(question):
+    llm=OpenAI(model_name="gpt-3.5-turbo-instruct",temperature=0)
+    answer=llm(question)
+    return answer
+
+#App UI starts here
+st.set_page_config(page_title="Langchain Project")
+st.header("A Simple Langchain Project")
+
+#Gets the user input
+def get_text():
+    input_text =st.text_input("Enter Question",key="input")
+    return input_text
+
+user_input =get_text()
+response =load_answer(user_input)
+
+submit=st.button('Generate')
+
+#If generate button is clicked
+if submit:
+
+    st.subheader("Answer:")
+
+    st.write(response)

env-sample.txt

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+OPENAI_API_KEY=""