Create add_rows.py

add_rows.py

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+!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")