Update app.py

app.py

@@ -1,27 +1,41 @@
 import os
 import streamlit as st
-from groq import *  # Import everything from groq, so you can access the chat functionality
+from groq import Groq  # Correct import for the Groq client
 
-# Ensure you have the correct API key set in the environment variable
+# Ensure the correct API key is set in the environment
 api_key = "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"
 
 # Streamlit interface
 st.title("AI Chatbot with Groq")
 
+# User input for the chatbot
 user_input = st.text_input("Ask something:", "")
 
-if user_input:
+# Scholarship search option
+search_scholarships = st.checkbox("Search for scholarships")
+
+# If user asked about scholarships
+if search_scholarships:
+    st.write("You can explore various scholarships for your education:")
+    st.write("1. **Merit-based Scholarships**: Awarded based on academic performance.")
+    st.write("2. **Need-based Scholarships**: For students who need financial assistance.")
+    st.write("3. **Athletic Scholarships**: Given to students excelling in sports.")
+    st.write("4. **Government Scholarships**: Offered by governments for local or international students.")
+    st.write("5. **Private Scholarships**: Funded by organizations or businesses.")
+
+# Process user input to interact with the Groq API
+if user_input and not search_scholarships:
     try:
-        # Create the Groq client using the API key
+        # Initialize Groq client with the API key
         client = Groq(api_key=api_key)
-        
-        # Create chat completion with user input
+
+        # Create a chat completion request using the user's input
         chat_completion = client.chat.completions.create(
             messages=[{"role": "user", "content": user_input}],
             model="llama-3.3-70b-versatile"
         )
-        
-        # Display the response
+
+        # Display the AI's response
         st.write("AI's response: ")
         st.write(chat_completion.choices[0].message.content)