app.py

import gradio as gr
from transformers import pipeline

# Carrega o modelo de Resposta a Perguntas
qa_model = pipeline("question-answering", model="vsvasconcelos/Phi-2_PT_QA_2_v3")


# Define a função para responder às perguntas
def answer_question(context, question):
    if context:
        return qa_model(question=question, context=context)['answer']
    else:
        return qa_model(question=question)['answer']

# Cria a interface Gradio
iface = gr.Interface(
    fn=answer_question,
    inputs=["text", "text"],
    outputs="text",
    title="QA Model",
    description="Pergunte algo e obtenha uma resposta!"
)

iface.launch()