Update app.py

app.py

@@ -10,6 +10,22 @@ def translate(text):
   output = model.generate(input["input_ids"], max_length=40, num_beams=4, early_stopping=True)
   
   return tokenizer.decode(output[0])
+  
+title = "Spanish to Quechua translation"
+inputs = gr.inputs.Textbox(lines=1, label="Text in Spanish")
+outputs = [gr.outputs.Textbox(label="Translated text in Quechua")]
+
+description = "Here use the [t5-small-finetuned-spanish-to-quechua-model](https://huggingface.co/hackathon-pln-es/t5-small-finetuned-spanish-to-quechua) that was trained with [spanish-to-quechua dataset](https://huggingface.co/datasets/hackathon-pln-es/spanish-to-quechua)."
+
+article = '''
+## Challenges
+- Create a dataset, as there are different variants of Quechua.
+- Training of the model to optimize results using the least amount of computational resources.
+
+## Team members
+- [Sara Benel](https://huggingface.co/sbenel)
+- [Jose Vílchez](https://huggingface.co/JCarlos)
+'''
 
-iface = gr.Interface(fn=translate, inputs="text", outputs="text")
+iface = gr.Interface(fn=translate, inputs=inputs, outputs=outputs, examples=examples, title=title, description=description, article=article)
 iface.launch()