Updated app.py

I have handled the rate limit error.

app.py

@@ -1,37 +1,42 @@
-# Q&A Chatbot
 from langchain.llms import OpenAI
-
-#from dotenv import load_dotenv
-
-#load_dotenv()  # take environment variables from .env.
-
 import streamlit as st
 import os
+import time
 
-
-## Function to load OpenAI model and get respones
-
+# Function to load OpenAI model and get responses
 def get_openai_response(question):
-    llm=OpenAI(model_name="text-davinci-003",temperature=0.5)
-    response=llm(question)
-    return response
-
-##initialize our streamlit app
-
+    openai_api_key = os.getenv("OPENAI_API_KEY")
+    llm = OpenAI(openai_api_key=openai_api_key, model_name="text-davinci-003", temperature=0.5)
+    
+    # Retry logic
+    max_retries = 3
+    retries = 0
+
+    while retries < max_retries:
+        try:
+            response = llm(question)
+            return response
+        except RateLimitError as e:
+            print(f"Rate limit exceeded. Waiting for {e.retry_after} seconds and retrying...")
+            time.sleep(e.retry_after)
+            retries += 1
+
+    print("Exceeded maximum number of retries. Please try again later.")
+    return None  # Or handle the error in an appropriate way in your code
+
+# 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 ask button is clicked
+input_question = st.text_input("Input: ", key="input")
+submit = st.button("Ask the question")
 
+# If the "Ask" button is clicked
 if submit:
-    st.subheader("The Response is")
-    st.write(response)
-
-
+    response = get_openai_response(input_question)
 
+    if response is not None:
+        st.subheader("The Response is:")
+        st.write(response)
+    else:
+        st.subheader("Error: Unable to get response. Please try again later.")