Update app.py

app.py

@@ -2,13 +2,11 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 import time
 
-# Clientes para texto e imagem
+# Clientes
 chat_client = InferenceClient("lambdaindie/lambdai")
 image_client = InferenceClient("stabilityai/stable-diffusion-2")
 
-# Fonte global
-gr.themes.Base().set(font=["JetBrains Mono", "monospace"])
-
+# CSS com JetBrains Mono forçado
 css = """
 body {
     font-family: 'JetBrains Mono', monospace;
@@ -36,7 +34,6 @@ body {
 }
 """
 
-# Função do chatbot com raciocínio
 def respond(message, history, system_message, max_tokens, temperature, top_p):
     messages = [{"role": "system", "content": system_message}] if system_message else []
 
@@ -84,12 +81,11 @@ def respond(message, history, system_message, max_tokens, temperature, top_p):
         final_answer += token
         yield final_answer.strip()
 
-# Função para gerar imagem
 def generate_image(prompt):
     return image_client.text_to_image(prompt, guidance_scale=7.5)
 
-# Interface Gradio
-with gr.Blocks(css=css, theme=gr.themes.Base()) as demo:
+# Interface
+with gr.Blocks(css=css) as demo:
     gr.Markdown("# λmabdAI")
 
     with gr.Tabs():