app.py

import gradio as gr
from transformers import GPT2Tokenizer, GPT2LMHeadModel

# Load pretrained GPT-2 model and tokenizer
model_name = "gpt2"
tokenizer = GPT2Tokenizer.from_pretrained(model_name)
model = GPT2LMHeadModel.from_pretrained(model_name)

def translate_text(input_text):
    # Tokenize the source text
    input_ids = tokenizer.encode(input_text, return_tensors="pt")

    # Generate the translated text
    translated_ids = model.generate(input_ids, max_length=100, num_return_sequences=1)

    # Decode the translated text
    translated_text = tokenizer.decode(translated_ids[0], skip_special_tokens=True)
    
    return translated_text

# Create Gradio interface
inputs = gr.inputs.Textbox(label="Input Text (English)")
outputs = gr.outputs.Textbox(label="Translated Text (French)")
interface = gr.Interface(fn=translate_text, inputs=inputs, outputs=outputs, title="Text Translation", description="Translate text from English to French.")
interface.launch()