app.py

import gradio as gr
import requests
from PIL import Image
from transformers import PaliGemmaForConditionalGeneration, PaliGemmaProcessor
import spaces
import os
from huggingface_hub import login
login(os.getenv('hf_token'))


@spaces.GPU
def infer_ocrvqa(image, question):
    model = PaliGemmaForConditionalGeneration.from_pretrained("google/paligemma-3b-ft-ocrvqa-896").to("cuda")
    processor = PaliGemmaProcessor.from_pretrained("google/paligemma-3b-ft-ocrvqa-896")
    inputs = processor(images=image,text=question, return_tensors="pt").to("cuda")
    predictions = model.generate(**inputs, max_new_tokens=100)
    return processor.decode(predictions[0], skip_special_tokens=True)[len(question):].lstrip("\n")

@spaces.GPU
def infer_doc(image, question):
  model = PaliGemmaForConditionalGeneration.from_pretrained("google/paligemma-3b-ft-docvqa-896").to("cuda")

  processor = PaliGemmaProcessor.from_pretrained("google/paligemma-3b-ft-docvqa-896")
  inputs = processor(images=image, text=question, return_tensors="pt").to("cuda")
  predictions = model.generate(**inputs, max_new_tokens=100)
  return processor.decode(predictions[0], skip_special_tokens=True)[len(question):].lstrip("\n")

css = """
  #mkd {
    height: 500px; 
    overflow: auto; 
    border: 1px solid #ccc; 
  }
"""

with gr.Blocks(css=css) as demo:
  gr.HTML("<h1><center>PaliGemma для VQA/OCR 📄<center><h1>")
  gr.HTML("<h3><center>Использование модели as is без файнтюнинга на документах. ⚡</h3>")
  

  with gr.Tab(label="Ответы на вопросы по документам"):
    with gr.Row():
      with gr.Column():
        input_img = gr.Image(label="Input Document")
        question = gr.Text(label="Question")
        submit_btn = gr.Button(value="Submit")
      output = gr.Text(label="Answer")

    submit_btn.click(infer_doc, [input_img, question], [output])

  
  with gr.Tab(label="Чтение текста со сканов"):
    with gr.Row():
      with gr.Column():
        input_img = gr.Image(label="Input Document")
        question = gr.Text(label="Question")
        submit_btn = gr.Button(value="Submit")
      output = gr.Text(label="Infer")
    submit_btn.click(infer_ocrvqa, [input_img, question], [output])

demo.launch(debug=True)