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8b8065a d2baa14 4ae82fa 8b8065a 73e6a6e dae7a0c 0c11d9f dae7a0c 0c11d9f 8b8065a 400d641 8b8065a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | from transformers import pipeline
import gradio as gr
from helper import identify_locations
title = "Countries/Cities Identification Demo"
description = "This is a simple demo just for demonstration purposes for the Serco team, to validate the first results of the Natural Language module concerning the identification of countries and cities"
examples = [
["I want an earthquake that is located in Rome, Italy in 01/01/23 with magnitude greater than 6.2"],
["I want an earthquake that is located in Buenos Aires, Argentina in 01/01/23 with magnitude greater than 6.2"],
["I want an earthquake that is located in United Arab Emirates in 01/01/23 with magnitude greater than 6.2"],
["I want an earthquake that is located in Ishkashim, Tajikistan, in 01/01/23 with magnitude greater than 6.2"],
["I want an earthquake that is located in Burkina Faso in 01/01/23 with magnitude greater than 6.2."],
["I want an earthquake that is located in Dibba Al-Fujairah, United Arab Emirates in 01/01/23 with magnitude greater than 6.2"],
]
gr.Interface(
fn=identify_locations,
inputs="text",
outputs="text",
title=title,
description=description,
examples=examples,
enable_queue=True,
).launch() |