app.py

from transformers import pipeline 
import torch


#translator = pipeline(task="translation",
#                      model="./models/facebook/nllb-200-distilled-600M",
#                      torch_dtype=torch.bfloat16) #

#text = """\
#My puppy is adorable, \
#Your kitten is cute.
#Her panda is friendly.
#His llama is thoughtful. \
#We all have nice pets!"""


#text_translated = translator(text,
#                             src_lang="eng_Latn",
#                             tgt_lang="fra_Latn")#
#
#text_translated

import gradio as gr

# Your string variable (replace with your actual content)
text = "Hello, Gradio!"


input_text = gr.inputs.Textbox(lines=5, label="Enter Text:")

# Create a Gradio interface with a label
label = gr.Label(text)

# Launch the Gradio app
interface = gr.Interface(fn =None ,inputs=None, outputs=label, title="String Display Example")
interface.launch()