Update app.py

app.py

@@ -14,7 +14,7 @@ footer {
 
 load_dotenv()
 
-GEMINI_API_KEY = "AIzaSyBRkv6TCfyZtT5Q6H6ur2W8KSNt9ksbeDI"  # Public API key
+GEMINI_API_KEY = "AIzaSyBRkv6TCfyZtT5Q6H6ur2W8KSNt9ksbeDI" 
 
 genai.configure(api_key=GEMINI_API_KEY)
 
@@ -39,9 +39,7 @@ mood_prompts = {
 }
 
 def generate_response(user_input, chat_history, mood):
-    """Generates a response based on user input, chat history, and mood."""
 
-    # Update system content with the full character description and mood
     updated_system_content = f"{mood_prompts[mood]}"
 
     model = genai.GenerativeModel(
@@ -76,15 +74,13 @@ def generate_response(user_input, chat_history, mood):
 
 # Build the Gradio interface
 with gr.Blocks(css=css, theme="bethecloud/storj_theme") as iface:
-    gr.Markdown("Duplicate this space in case there is an error or something with your own Gemini API key!")
-    chat_input = gr.Textbox(lines=2, label="Talk to AI", placeholder="Enter your message here...")
-    chat_history_state = gr.State([])  # State input for chat history
+
+    chat_input = gr.Textbox(lines=2, label="Chatbot", placeholder="Enter your message here...")
+    chat_history_state = gr.State([]) 
     response_output = gr.Textbox(label="Response")
 
-    # Add a dropdown for selecting mood with "Professional" as the default
-    mood_selector = gr.Dropdown(choices=list(mood_prompts.keys()), value="Professional", label="Select Mood")
+    mood_selector = gr.Radio(choices=list(mood_prompts.keys()), value="Professional", label="Select Mood")
 
-    # Define the layout and components
     generate_button = gr.Button("Generate Response")
     generate_button.click(
         fn=generate_response,