Update app.py

app.py

@@ -5,15 +5,17 @@ from dotenv import load_dotenv
 import streamlit as st
 from langchain.llms import openai
 
-# Load environment variables
-load_dotenv()
+# Load environment variables (if using a .env file)
+# load_dotenv()  # Uncomment this line if using a .env file
 
 # Function to get OpenAI response
 def get_openai_response(question):
     try:
-        api_key = os.environ["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"]
+        # Access API key securely (choose one of the methods below)
+        # api_key = os.environ["OPENAI_API_KEY"]  # Method 1: Using environment variables
+        # api_key = "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"  # Method 2: Direct inclusion (not recommended)
         llm = openai.OpenAI(
-            model_name="text-davinci-003", temperature=0.5, openai_api_key=api_key
+            model_name="text-davinci-003", temperature=0.5, openai_api_key=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
         )
         with st.spinner("Generating response..."):
             response = llm(question)
@@ -22,6 +24,9 @@ def get_openai_response(question):
         st.error(f"Error: {e}")
         return None
 
+# Rest of the code remains the same...
+
+
 # Initialize Streamlit app
 st.set_page_config(page_title="Enhanced Q&A Demo")
 st.header("Langchain App")