Update app.py

app.py

@@ -7,8 +7,13 @@ import pandas as pd
 from streamlit.components.v1 import html
 from groq import Groq
 
-# Initialize Groq client with your API key
-client = Groq(api_key="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")
+# Initialize Groq client with error handling
+try:
+    client = Groq(api_key="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")
+    st.write("Groq client initialized successfully.")
+except Exception as e:
+    st.error(f"Failed to initialize Groq client: {e}")
+    client = None  # If the client fails to initialize, set it to None
 
 # Set up the title and description for the Streamlit app
 st.set_page_config(page_title="Gaia: Women Safety App", page_icon="🤖", layout="centered")
@@ -21,16 +26,19 @@ def get_response(user_input):
         
     st.session_state['messages'].append({"role": "user", "content": user_input})
     
-    # Call Groq API to get the AI's response
-    chat_completion = client.chat.completions.create(
-        messages=st.session_state['messages'],
-        model="llama3-8b-8192"  # Specify model you want to use from Groq
-    )
-    
-    ai_message = chat_completion.choices[0].message.content
-    st.session_state['messages'].append({"role": "assistant", "content": ai_message})
-    
-    return ai_message
+    if client:
+        # Call Groq API to get the AI's response
+        chat_completion = client.chat.completions.create(
+            messages=st.session_state['messages'],
+            model="llama3-8b-8192"  # Specify model you want to use from Groq
+        )
+        
+        ai_message = chat_completion.choices[0].message.content
+        st.session_state['messages'].append({"role": "assistant", "content": ai_message})
+        
+        return ai_message
+    else:
+        return "Error: Groq client not initialized."
 
 # Sidebar for navigation
 st.sidebar.title('Features')