@@ -68,68 +68,7 @@ pip install datafog
6868
6969## Examples - Updated for v3
7070
71-
72-
73- ```
74- # Example: Annotating PII
75- from datafog import PIIAnnotationPipeline, PIIAnnotationRequest
76-
77- # Initialize the PII annotation pipeline
78- pii_pipeline = PIIAnnotationPipeline()
79-
80- # Provide the text or document containing PII
81- pii_text = "Name: John Doe\nAddress: 123 Main St, Anytown, USA"
82-
83- # Submit the text for PII annotation
84- annotated_text = pii_pipeline.annotate_pii(pii_text)
85-
86- # Print the annotated text with identified PII
87- print("Annotated Text:")
88- print(annotated_text)
89-
90-
91- # Example: Text Extraction from images
92-
93- from datafog import DonutImageProcessor, PipelineOperationType
94-
95- # Initialize the image processor
96- processor = DonutImageProcessor(operation_type=PipelineOperationType.PARSE_IMAGE)
97-
98- # Load the image containing the invoice
99- sample_image_path = "path/to/your/invoice/image.png"
100-
101- # Parse the invoice image to extract details
102- result = processor.parse_invoice(sample_image_path)
103-
104- # Print the extracted details
105- print("Invoice Details:")
106- for item in result:
107- print(f"- {item['name']}: {item['price']}")
108-
109-
110-
111- # Example: Text Extraction
112- from datafog import DataFog, PipelineOperationType
113-
114- # Initialize DataFog for text processing
115- data_processor = DataFog(operation_type=PipelineOperationType.PROCESS_TEXT)
116-
117- # Provide the text to be analyzed
118- text = "Customer: John Smith\nProduct: Laptop\nPrice: $1200"
119-
120- # Extract entities from the text
121- entities = data_processor.extract_entities(text)
122-
123- # Print the extracted entities
124- print("Entities Detected:")
125- for entity in entities:
126- print(f"- {entity['type']}: {entity['text']}")
127-
128-
129-
130-
131- ```
132-
71+ Check out for examples to get started with datafog v3: https://colab.research.google.com/drive/1k3HPaOTur3iDfBdWXh7O_EjzsjI_K6wT#scrollTo=WNtUZ497_0kd
13372
13473
13574## Contributing
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