Update app.py

app.py

@@ -1,6 +1,6 @@
 import os
 import gradio as gr
-from google import genai
+from google import generativeai as genai
 import time
 
 # --- Load Gemini API key securely ---
@@ -8,7 +8,7 @@ GEMINI_API_KEY = os.environ.get("GEMINI_API_KEY")
 if not GEMINI_API_KEY:
     raise ValueError("❌ GEMINI_API_KEY not found. Please set it in your Hugging Face Space Secrets.")
 
-client = genai.Client()
+genai.configure(api_key=GEMINI_API_KEY)
 
 # --- Constants ---
 MODEL_NAME = "gemini-1.5-flash-latest"
@@ -33,8 +33,8 @@ h1, .gr-label { color: var(--neon-cyan); text-shadow: var(--text-shadow); text-a
 .gr-button:hover { background: var(--neon-green); color: var(--bg-color-2); box-shadow: 0 0 10px var(--neon-green), 0 0 20px var(--neon-green), 0 0 30px var(--neon-green); }
 .gr-button:disabled { background: #333 !important; color: #555 !important; border-color: #555 !important; box-shadow: none !important; cursor: not-allowed; }
 .chatbot { background-color: rgba(13, 0, 26, 0.8); border: 1px solid var(--neon-pink); box-shadow: var(--border-glow); }
-.message-bubble { background: none !important; border: none !important; } /* Clean up message bubbles */
-footer { display: none !import
+.message-bubble { background: none !important; border: none !important; }
+footer { display: none !important; }
 """
 
 def stream_llm_response(model, prompt, history_list, role_name, avatar_url):
@@ -51,7 +51,7 @@ def stream_llm_response(model, prompt, history_list, role_name, avatar_url):
     except Exception as e:
         history_list[-1]["content"] = f"⚠️ An error occurred: {e}"
     
-    yield history_list # Yield the final, clean response
+    yield history_list
     return full_response.strip()
 
 def run_full_debate_flow(chat_history):
@@ -63,12 +63,11 @@ def run_full_debate_flow(chat_history):
         time.sleep(0.5) # A brief, dramatic pause
         return {chatbot: chat_history}
     
-    # 1. Clear chat and disable button for a fresh start
     chat_history.clear()
     yield {
         start_button: gr.update(interactive=False, value="🔄 Initializing..."),
         chatbot: chat_history,
-        download_button: gr.update(visible=False), # Hide download button
+        download_button: gr.update(visible=False),
         download_file_output: gr.update(value=None, visible=False)
     }
 
@@ -77,7 +76,6 @@ def run_full_debate_flow(chat_history):
     try:
         gen_model = genai.GenerativeModel(MODEL_NAME)
         
-        # --- NARRATE & GENERATE TOPIC ---
         yield add_system_message("Contacting orbital AI to generate a fresh topic...")
         topic_prompt = "Generate a single, specific, and highly debatable topic about the future of technology, AI, or finance. Output only the topic string, nothing else."
         topic = ""
@@ -86,7 +84,6 @@ def run_full_debate_flow(chat_history):
             yield { chatbot: updated_history }
         if "⚠️" in topic or not topic: raise ValueError("Topic generation failed.")
 
-        # --- NARRATE & GENERATE QUESTION ---
         yield add_system_message("Formulating a provocative starting question...")
         question_prompt = f"For the debate topic '{topic}', generate one provocative, open-ended starting question. Output only the question string, nothing else."
         question = ""
@@ -100,7 +97,6 @@ def run_full_debate_flow(chat_history):
         yield { start_button: gr.update(interactive=True, value="▷ RE-INITIATE DEBATE PROTOCOL") }
         return
         
-    # --- NARRATE DEBATE START & RUN THE DEBATE ---
     yield add_system_message("Initializing agents... Let the debate begin!")
     yield { start_button: gr.update(value="⚔️ DEBATE IN PROGRESS...") }
     
@@ -109,19 +105,16 @@ def run_full_debate_flow(chat_history):
 
     last_response = question
     for _ in range(5):
-        # Agent A
         prompt_a = f"Debate Topic: '{topic}'. The previous statement was: '{last_response}'. Provide your optimistic argument."
         for updated_history in stream_llm_response(agent_a_chat, prompt_a, chat_history, "Agent A (Optimist)", AVATAR_IMAGES["Agent A (Optimist)"]):
              last_response = updated_history[-1]['content'].replace('▌', '')
              yield { chatbot: updated_history }
         
-        # Agent B
         prompt_b = f"Debate Topic: '{topic}'. Agent A said: '{last_response}'. Provide your skeptical counter-argument."
         for updated_history in stream_llm_response(agent_b_chat, prompt_b, chat_history, "Agent B (Skeptic)", AVATAR_IMAGES["Agent B (Skeptic)"]):
             last_response = updated_history[-1]['content'].replace('▌', '')
             yield { chatbot: updated_history }
             
-    # --- CONCLUDE DEBATE ---
     yield add_system_message("--- DEBATE CONCLUDED ---")
     yield {
         chatbot: chat_history,