import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="translation", model="bigscience/bloom-350m")

def predict(image):
  predictions = pipeline(image)
  return {p["label"]: p["score"] for p in predictions}

gr.Interface(
    predict,
    inputs=gr.inputs.Text(label="text", type="filepath"),
    outputs=gr.outputs.Label(num_top_classes=2),
    title="Translation",
).launch()