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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("Human: " + text + "\nAssistant:", max_length=30, num_return_sequences=1)
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() |