# -*- coding: utf-8 -*-
"""NER_APP

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/#fileId=https%3A//storage.googleapis.com/kaggle-colab-exported-notebooks/ner-app-4d7a2843-05be-4536-8268-25e14a665793.ipynb%3FX-Goog-Algorithm%3DGOOG4-RSA-SHA256%26X-Goog-Credential%3Dgcp-kaggle-com%2540kaggle-161607.iam.gserviceaccount.com/20250116/auto/storage/goog4_request%26X-Goog-Date%3D20250116T193935Z%26X-Goog-Expires%3D259200%26X-Goog-SignedHeaders%3Dhost%26X-Goog-Signature%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
"""

# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load

from transformers import pipeline
import gradio as gr

# Load the NER pipeline
ner_pipeline = pipeline("ner", model="Tirendaz/roberta-base-NER")

# Function to process text and return entities
def ner(text):
    output = ner_pipeline(text, aggregation_strategy="simple")
    return {"text": text, "entities": output}

# Examples for the Gradio interface
examples = [
    "My name is Tim and I live in California",
    "Ich arbeite bei Google in Berlin",
    "In a world brimming with technological advancements, humanity finds itself on the cusp of unparalleled innovation and profound challenges"
]

# Define the Gradio app
demo = gr.Interface(
    fn=ner,
    inputs=gr.Textbox(placeholder="Enter sentence here..."),
    outputs=gr.HighlightedText(),
    examples=examples
)

# Launch the Gradio app
demo.launch()