Update app.py

app.py

@@ -4,7 +4,7 @@ import gradio as gr
 def generate_response(input_text, temperature, top_p):
     from transformers import pipeline
     # Carregar o modelo da Hugging Face localmente ou via API
-    model = pipeline("text-generation", model="meta-llama/Llama-3.3-70B-Instruct")
+    model = pipeline("text-generation", model="EmTpro01/CodeLlama-7b-finetuned-16bit")
     result = model(input_text, max_length=512, temperature=temperature, top_p=top_p)
     return result[0]['generated_text']
 
@@ -14,8 +14,8 @@ with gr.Blocks() as demo:
     with gr.Row():
         input_text = gr.Textbox(label="Texto de entrada")
     with gr.Row():
-        temperature = gr.Slider(0.1, 1.0, value=0.7, step=0.1, label="Temperatura")
-        top_p = gr.Slider(0.1, 1.0, value=0.9, step=0.1, label="Top-p")
+        temperature = gr.Slider(0.1, 2.0, value=0.7, step=0.1, label="Temperatura")
+        top_p = gr.Slider(0.1, 2.0, value=0.9, step=0.1, label="Top-p")
     with gr.Row():
         output_text = gr.Textbox(label="Texto gerado", interactive=False)
     generate_button = gr.Button("Gerar Resposta")