revert

app.py

@@ -5,7 +5,7 @@ import gradio as gr
 models_id = [
     "PORTULAN/albertina-ptpt",
     "PORTULAN/albertina-ptbr",
-    "EleutherAI/gpt-j-6B"
+#    "EleutherAI/gpt-j-6B"
 ]
 models = list(map(lambda x: gr.load(x, src='huggingface'),models_id))
 examples = [
@@ -25,4 +25,4 @@ def prediction(model_choice, input):
 
 label = gr.Label(num_top_classes=1)
 
-gr.Interface(fn=prediction, enable_queue=True, inputs=[ gr.Dropdown(models_id, type="index",value=models_id[0]),gr.Textbox(),], outputs=label, examples=examples).launch()
+gr.Interface(fn=prediction, inputs=[ gr.Dropdown(models_id, type="index",value=models_id[0]),gr.Textbox(),], outputs=label, examples=examples).launch()