Upload folder using huggingface_hub

coleaf_dataset.py

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+import os
+from PIL import Image
+from datasets import Dataset
+from huggingface_hub import HfApi
+
+# Set the path to the CoLeaf dataset directory
+coleaf_dir = "/home/goya/CV_Plant_Disease/Datasets/CoLeaf_dataset"
+
+# Set the name and description for the Huggingface dataset
+dataset_name = "bhugxer/CoLeafLabels"
+dataset_description = "CoLeaf dataset for fine-tuning Stable Diffusion"
+
+# Create lists to store the image paths and labels
+image_paths = []
+labels = []
+
+api_token = os.environ.get("HUGGINGFACE_API_TOKEN")
+
+# Iterate over the CoLeaf dataset directory
+for label in os.listdir(coleaf_dir):
+    label_dir = os.path.join(coleaf_dir, label)
+    if os.path.isdir(label_dir):
+        for image_file in os.listdir(label_dir):
+            image_path = os.path.join(label_dir, image_file)
+            image_paths.append(image_path)
+            labels.append(label)
+
+# Create a Huggingface dataset
+dataset = Dataset.from_dict({"image_path": image_paths, "label": labels})
+
+# Define the image loading function
+def load_image(example):
+    with open(example["image_path"], "rb") as f:
+        image_data = f.read()
+    return {"image": image_data}
+
+# Apply the image loading function to the dataset
+dataset = dataset.map(load_image, batched=False, num_proc=4)
+
+# Remove the "image_path" column from the dataset
+dataset = dataset.remove_columns("image_path")
+
+# Push the dataset to the Huggingface Hub
+api = HfApi(token=api_token)
+api.upload_folder(
+    folder_path=".",
+    repo_id=dataset_name,
+    repo_type="dataset",
+    ignore_patterns=["**/.*", "**/__pycache__"],
+    use_auth_token=api_token,
+)
+
+# Create a dataset card
+dataset_card = f"""
+# {dataset_name}
+
+{dataset_description}
+
+## Dataset Structure
+
+- `image`: The image data.
+- `label`: The label or text description of the image.
+
+## Dataset Info
+
+- Number of examples: {len(dataset)}
+- Image format: Various (PNG, JPEG, etc.)
+
+## License
+
+[Insert license information here]
+
+## Citation
+
+[Insert citation information here]
+"""
+
+# Push the dataset card to the Huggingface Hub
+with open("README.md", "w") as f:
+    f.write(dataset_card)
+
+api.upload_file(
+    path_or_fileobj="README.md",
+    path_in_repo="README.md",
+    repo_id=dataset_name,
+    repo_type="dataset",
+    use_auth_token=api_token,
+)