app.py

import gradio as gr
from transformers import pipeline

# Load your model
translator = pipeline("translation", model="med-03/my-translation-model")

# Translation function
def translate_text(text):
    result = translator(text)
    return result[0]["translation_text"]

# Gradio Interface (API-ready)
iface = gr.Interface(
    fn=translate_text,
    inputs=gr.Textbox(label="Input Text"),
    outputs=gr.Textbox(label="Translated Text"),
    title="Translation API",
    description="Translate text using your Hugging Face model.",
    examples=["Hello, how are you?", "This is a test sentence."],
)

iface.queue(False)
iface.launch()