Create app.py

app.py

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+from huggingface_hub import from_pretrained_fastai
+import gradio as gr
+# from fastai.vision.all import *
+# from transformers import AutoModelForSequenceClassification, AutoTokenizer
+import torch
+from transformers import pipeline
+from transformers import Seq2SeqTrainer, AutoModelForSeq2SeqLM, Seq2SeqTrainingArguments, DataCollatorForSeq2Seq
+from transformers import AutoTokenizer
+
+
+# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
+repo_id = "islasher/mbart-spanishToQuechua"
+
+
+# Definimos una función que se encarga de llevar a cabo las predicciones
+
+
+# Cargar el modelo y el tokenizador
+nombre_modelo = 'islasher/mbart-spanishToQuechua'
+model = AutoModelForSeq2SeqLM.from_pretrained(nombre_modelo)
+tokenizer = AutoTokenizer.from_pretrained(nombre_modelo)
+
+
+def predict(frase):
+    #img = PILImage.create(img)
+    inputs = tokenizer(frase, return_tensors="pt")
+    outputs = model(**inputs)
+    trad = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return trad
+# Creamos la interfaz y la lanzamos. 
+gr.Interface(fn=predict, inputs="text", outputs="text").launch(share=False)