import gradio as gr

from happytransformer import HappyGeneration

happy_gen = HappyGeneration("GPT-NEO", "DarwinAnim8or/GPT-DMV-125m")

from happytransformer import GENSettings
args_top_k = GENSettings(no_repeat_ngram_size=3, do_sample=True,top_k=80, temperature=0.6, max_length=60, early_stopping=True)

def generate(text):
    inputText = "PLATE: " + text + "\nREVIEW REASON CODE: "
    
    result = happy_gen.generate_text(inputText, args=args_top_k)
    generated_text = result.text #returns generated text only

    return generated_text

examples = [
    ["LUCH"],
    ["LCDR"],
    ["OOGA"],
    ["BANANA"],
    ["JJ BINKS"]
]

demo = gr.Interface(
    fn=generate,
    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
    outputs=gr.outputs.Textbox(label="Generated Text"),
    examples=examples
)

demo.launch()