app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load the model and tokenizer
model = AutoModelForCausalLM.from_pretrained("umutbozdag/autotrain-g39vl-h3lir")
tokenizer = AutoTokenizer.from_pretrained("umutbozdag/autotrain-g39vl-h3lir")

def generate_text(input_text):
    # Tokenize input and generate text
    inputs = tokenizer(input_text, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=100)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

iface = gr.Interface(
    fn=generate_text,
    inputs=gr.Textbox(lines=5, label="Input Text"),
    outputs=gr.Textbox(label="Generated Text"),
    title="Text Humanizer",
    description="Enter text to generate a more human-like version."
)

iface.launch()