| import gradio as gr | |
| from transformers import pipeline | |
| import tensorflow | |
| text2text_generator = pipeline("text2text-generation") | |
| def main(input): | |
| return text2text_generator("question: " + input + " context: 42 is the answer to life, the universe and everything") | |
| iface = gr.Interface(fn=main, inputs="text", outputs="text") | |
| iface.launch() |