Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+
+def translate(text):
+  model_name = 'hackathon-pln-es/t5-small-finetuned-spanish-to-quechua'
+  model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+  tokenizer = AutoTokenizer.from_pretrained(model_name)
+  
+  input = tokenizer(text, return_tensors="pt")
+  output = model.generate(input["input_ids"], max_length=40, num_beams=4, early_stopping=True)
+  
+  return tokenizer.decode(output[0])
+
+iface = gr.Interface(fn=translate, inputs="text", outputs="text")
+iface.launch()