import gradio as gr
from transformers import T5Tokenizer, T5ForConditionalGeneration

model_name = "ravindravala/ravi-v0.1"
tokenizer = T5Tokenizer.from_pretrained(model_name)
model = T5ForConditionalGeneration.from_pretrained(model_name)

def paraphrase(text):
    input_text = "paraphrase: " + text
    inputs = tokenizer(input_text, return_tensors="pt", truncation=True, padding=True)
    outputs = model.generate(**inputs, max_length=256)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

demo = gr.Interface(
    fn=paraphrase,
    inputs=gr.Textbox(lines=5, placeholder="Enter text to paraphrase..."),
    outputs=gr.Textbox(label="Paraphrased Output"),
    title="AI → Human Paraphraser",
    description="This model rewrites AI-like responses into more natural human language."
)

demo.launch()