!pip install datasets

from datasets import load_dataset, Dataset, Image as HFImage, concatenate_datasets
import datasets
from PIL import Image
import pandas as pd
import io

def add_rows_to_dataset(dataset, new_rows):
  """
  Adds new rows to a Hugging Face dataset.

  Args:
    dataset: The Hugging Face dataset to add rows to.
    new_rows: A list of dictionaries, where each dictionary represents a new row
              and has the keys 'image', 'image_id', and 'caption'.
  Returns:
    The updated dataset.
  """
  # Convert PIL.Image.Image objects to bytes and then back to PNG
  # This will allow them to be stored within the Huggingface dataset
  # and ensures the type is PIL.PngImagePlugin.PngImageFile.
  for row in new_rows:
    # Store the image as bytes in a buffer
    image_bytes = io.BytesIO()
    row['image'].save(image_bytes, format='PNG')  # Save as PNG
    # Replace PIL image with a new PNG image created from the bytes
    row['image'] = image_bytes.getvalue()

  new_dataset = Dataset.from_pandas(pd.DataFrame(new_rows)).cast_column("image", HFImage())
  new_dataset.info.dataset_name = dataset.info.dataset_name
  new_dataset.info.description = dataset.info.description

  return concatenate_datasets([dataset,new_dataset])


# Load the dataset (replace with the correct dataset name if needed)
dataset = load_dataset("mdwiratathya/ROCO-radiology", split="train")

new_rows = [
    {
        "image": Image.open("radio/lux2.jpeg"),
        "image_id": "RONA_00001",
        "caption": "Right shoulder of a 50-year-old patient showing an anterior dislocated shoulder."
    },
    {
        "image": Image.open("radio/lux1.jpeg"),
        "image_id": "RONA_00002",
        "caption": " Right shoulder of a 50-year-old patient showing an anterior dislocated shoulder"
    },
    {
        "image": Image.open("radio/lux3.jpeg"),
        "image_id": "RONA_00003",
        "caption": "Right shoulder of a 50-year-old patient following a dislocated shoulder reduction"
    },
    {
        "image": Image.open("radio/lux4.jpeg"),
        "image_id": "RONA_00004",
        "caption": "Right shoulder of a 50-year-old patient following a dislocated shoulder reduction"
    },
]



new_dataset = add_rows_to_dataset(dataset, new_rows)

# print(f"Number of rows in the updated dataset: {len(new_dataset)}")
# print(f"Dataset information: {new_dataset.info}")
# Print some info about the updated dataset
new_dataset.push_to_hub("eltorio/ROCO-radiology")