section2.ipynb

Kernel: Python 3

Construire votre première démo

Installez les bibliothèques 🤗 Transformers et 🤗 Gradio pour exécuter ce notebook.

!pip install datasets transformers[sentencepiece]
!pip install gradio

import gradio as gr

def greet(name):
    return "Bonjour " + name

demo = gr.Interface(fn=greet, inputs="text", outputs="text")

demo.launch()

import gradio as gr

def greet(name):
    return "Bonjour " + name

# Nous instancions la classe Textbox
textbox = gr.Textbox(label="Tapez votre nom ici :", placeholder="Marie Martin", lines=2)

gr.Interface(fn=greet, inputs=textbox, outputs="text").launch()

from transformers import pipeline

model = pipeline("text-generation", model="asi/gpt-fr-cased-small")


def predict(prompt):
    completion = model(prompt)[0]["generated_text"]
    return completion

import gradio as gr

gr.Interface(fn=predict, inputs="text", outputs="text").launch()