Update app.py

app.py

@@ -7,24 +7,24 @@ API_KEY = "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"
 
 # Function to interact with the model
 def get_model_response(prompt):
-    try:
-        client = Groq(api_key=API_KEY)
-        chat_completion = client.chat.completions.create(
-            messages=[
-                {
-                    "role": "user",
-                    "content": prompt,
-                }
-            ],
-            model="llama3-8b-8192",  # Update with your desired model
-        )
-        response = chat_completion.choices[0].message.content
-        return response
-    except Exception as e:
-        return f"An error occurred: {str(e)}"
+  try:
+    client = Groq(api_key=API_KEY)
+    chat_completion = client.chat.completions.create(
+        messages=[
+            {
+                "role": "user",
+                "content": prompt,
+            }
+        ],
+        model="llama3-8b-8192",  # Update with your desired model
+    )
+    response = chat_completion.choices[0].message.content
+    return response
+  except Exception as e:
+    return f"An error occurred: {str(e)}"
 
 # Streamlit App
-st.set_page_config(page_title="AI Chat Interface", page_icon='https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRDtq0iX3NP1eu6DiEnnmm1moWENvPHYNsMZQ&s', layout="wide")
+st.set_page_config(page_title="AI Chat Interface", page_icon="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRDtq0iX3NP1eu6DiEnnmm1moWENvPHYNsMZQ&s", layout="wide")  # Removed semicolon
 
 # Add a header with logo (optional)
 st.markdown("""
@@ -36,14 +36,13 @@ st.markdown("""
 
 # Progress bar animation for loading
 with st.spinner("Thinking..."):
-    time.sleep(2)  # Simulate processing time
+  time.sleep(2)  # Simulate processing time
 
 # User input with placeholder and help text
 user_input = st.text_input("Your Prompt", placeholder="Type your question here...", help="Feel free to ask anything!")
 
 # Display "Thinking..." animation while fetching response
 if st.button("Get Response"):
-    with st.spinner("Fetching Response..."):
-        response = get_model_response(user_input)
-    st.write(f" {response}")
-
+  with st.spinner("Fetching Response..."):
+    response = get_model_response(user_input)
+  st.write(f" {response}")