Update app.py

app.py

@@ -1,7 +1,9 @@
 import streamlit as st
 from groq import Groq
+import time
 
-API_KEY = "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"
+# API Key (replace with yours)
+API_KEY = "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"
 
 # Function to interact with the model
 def get_model_response(prompt):
@@ -22,10 +24,27 @@ def get_model_response(prompt):
     return f"An error occurred: {str(e)}"
 
 # Streamlit App
-st.title("AI Chat Interface")
-st.write("This app allows you to interact with a Groq-powered AI model.")
+st.set_page_config(page_title="AI Chat Interface", page_icon="")  # Set title and icon
 
-user_input = st.text_input("Your Prompt", placeholder="Type your question here...")
+# Add a header with logo (optional)
+st.markdown("""
+<div style="text-align: center;">
+  <img src="https://placehold.it/150x150" alt="Logo" style="border-radius: 50%;">
+  <h1>AI Chat Interface</h1>
+</div>
+""", unsafe_allow_html=True)
+
+# Progress bar animation for loading
+with st.spinner("Thinking..."):
+  time.sleep(2)  # Simulate processing time
+
+user_input = st.text_input("Your Prompt", placeholder="Type your question here...", key="prompt")
+
+# Display "Thinking..." animation while fetching response
 if st.button("Get Response"):
-  response = get_model_response(user_input)
-  st.write(f"Model Response: {response}")
+  with st.spinner("Fetching Response..."):
+    response = get_model_response(user_input)
+  st.write(f"**Model Response:** {response}")
+
+# Success message animation
+st.success("Response retrieved successfully!")