Create app.py

app.py

@@ -0,0 +1,26 @@
+from transformers import T5Tokenizer, T5ForConditionalGeneration
+import gradio as gr
+
+tokenizer = T5Tokenizer.from_pretrained("t5-large")
+model = T5ForConditionalGeneration.from_pretrained("t5-large")
+
+def translate_text(input_text, source_lang, target_lang):
+  """Translates text using the T5 model."""
+  prefix = f"translate {source_lang} to {target_lang}: "
+  input_ids = tokenizer(prefix + input_text, return_tensors="pt").input_ids
+  outputs = model.generate(input_ids, max_new_tokens=128) 
+  translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+  return translated_text
+
+iface = gr.Interface(
+    fn=translate_text,
+    inputs=[
+        gr.Textbox(lines=2, placeholder="Digite o texto aqui...", label="Texto de Entrada"),
+        gr.Dropdown(["English", "French", "German"], label="Idioma de Origem"),
+        gr.Dropdown(["English", "French", "German"], label="Idioma de Destino"),
+    ],
+    outputs="text",
+    title="Aplicativo de Tradução T5",
+    description="Este aplicativo usa o modelo T5 para traduzir texto entre idiomas.",
+)
+iface.launch(share=True)