| import gradio as gr | |
| from transformers import pipeline | |
| qa = pipeline("text2text-generation", model="google/flan-t5-base") | |
| def answer_question(prompt): | |
| output = qa(prompt, max_length=256, do_sample=False) | |
| return output[0]['generated_text'] | |
| gr.Interface(fn=answer_question, | |
| inputs=gr.Textbox(label="Ask EduBot"), | |
| outputs=gr.Textbox(label="Answer"), | |
| title="Leo9 EduBot (CPU)").launch() | |