Update app.py

app.py

@@ -1,3 +1,36 @@
 import gradio as gr
 
-gr.load("models/meta-llama/Llama-3.3-70B-Instruct").launch()
+# Função para carregar o modelo e executar inferência com parâmetros personalizados
+def predict(input_text, temperature, max_length, top_p, top_k):
+    # Carregue o modelo
+    model = gr.load("models/meta-llama/Llama-3.3-70B-Instruct")
+    
+    # Use os parâmetros passados para configurar o modelo
+    return model(input_text, temperature=temperature, max_length=max_length, top_p=top_p, top_k=top_k)
+
+# Interface Gradio
+with gr.Blocks() as demo:
+    gr.Markdown("# Modelo Llama 3.3 - Ajuste de Parâmetros")
+    
+    with gr.Row():
+        input_text = gr.Textbox(label="Texto de entrada", placeholder="Digite seu texto aqui")
+    
+    with gr.Row():
+        temperature = gr.Slider(0, 1, value=0.7, label="Temperature")
+        max_length = gr.Slider(1, 2048, value=512, step=1, label="Comprimento Máximo")
+        top_p = gr.Slider(0, 1, value=0.9, label="Top-p (nucleus sampling)")
+        top_k = gr.Slider(1, 100, value=50, step=1, label="Top-k")
+
+    with gr.Row():
+        output = gr.Textbox(label="Saída do Modelo")
+    
+    with gr.Row():
+        submit_btn = gr.Button("Executar")
+
+    submit_btn.click(
+        predict,
+        inputs=[input_text, temperature, max_length, top_p, top_k],
+        outputs=output,
+    )
+
+demo.launch()