Update app.py

app.py

@@ -120,23 +120,22 @@ with gr.Blocks(css=css) as demo:
     gr.HTML(title)
     with gr.Column(elem_id="col_container"):
         openai_api_key = gr.Textbox(type='password', label="Insira sua chave de API OpenAI aqui")
-        chatbot = gr.Chatbot(elem_id="chatbot") 
+        chatbot = gr.Chatbot(elem_id="chatbot")
         inputs = gr.Textbox(placeholder="Olá!", label="Digite uma entrada e pressione Enter", lines=3)
         state = gr.State([]) 
         b1 = gr.Button(value="Executar", variant="primary")
-    
-        #inputs, top_p, temperature, top_k, repetition_penalty
+
+        # Parâmetros
         with gr.Accordion("Parameters", open=False):
-            top_p = gr.Slider( minimum=-0, maximum=1.0, value=1.0, step=0.05, interactive=True, label="Top-p (nucleus sampling)",)
-            temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature",)
-            #top_k = gr.Slider( minimum=1, maximum=50, value=4, step=1, interactive=True, label="Top-k",)
-            #repetition_penalty = gr.Slider( minimum=0.1, maximum=3.0, value=1.03, step=0.01, interactive=True, label="Repetition Penalty", )
-            chat_counter = gr.Number(value=0, visible=False, precision=0)
-
-    inputs.submit( predict, [inputs, top_p, temperature, openai_api_key, chat_counter, chatbot, state], [chatbot, state, chat_counter],)
-    b1.click( predict, [inputs, top_p, temperature, openai_api_key, chat_counter, chatbot, state], [chatbot, state, chat_counter],)
-    b1.click(reset_textbox, [], [inputs])
-    inputs.submit(reset_textbox, [], [inputs])
-                    
-    #gr.Markdown(description)
+            top_p = gr.Slider(minimum=0, maximum=1.0, value=1.0, step=0.05, label="Top-p")
+            temperature = gr.Slider(minimum=0, maximum=5.0, value=1.0, step=0.1, label="Temperature")
+            chat_counter = gr.Number(value=0, visible=False)
+
+        # Associando a função 'predict' ao campo de entrada 'inputs' e ao botão 'b1'
+        inputs.submit(predict, inputs=[inputs, top_p, temperature, openai_api_key, chat_counter, chatbot, state], outputs=[chatbot, state, chat_counter])
+        b1.click(predict, inputs=[inputs, top_p, temperature, openai_api_key, chat_counter, chatbot, state], outputs=[chatbot, state, chat_counter])
+
+        # Botão para limpar o campo de texto
+        b1.click(reset_textbox, inputs=[], outputs=[inputs])
+
     demo.queue().launch(debug=True)