import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='sr5434/chatbot', tokenizer='EleutherAI/gpt-neo-125M')

def generate(text):
    result = generator("You are a friendly, helpful chatbot. Your conversation starts below:\n"+"Human: " + text + "\nAssistant:", max_length=128, num_return_sequences=1, temperature = 0.8)
    return result[0]["generated_text"][23:]

examples = [
    ['What is your favorite school subject?'],
    ['How are you?'],
]

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()