File size: 451 Bytes
b0fd7d9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | import gradio as gr
from inference import load_for_inference, predict
REPO_ID = "pusulcuk/TurkishVLMTAMGA"
model, tokenizer, device = load_for_inference(REPO_ID)
def answer(image, question):
return predict(model, tokenizer, device, image, question)
gr.Interface(
fn=answer,
inputs=[
gr.Image(type="pil"),
gr.Textbox(label="Question")
],
outputs="text",
title="CLIP2MT5 Visual Question Answering"
).launch()
|