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import gradio as gr | |
from modules.m_parser import Parser | |
execute = Parser() | |
iface = gr.Blocks(css='css/style.css') | |
with iface: | |
gr.HTML("<center><h5>๐บ๐ธ ๐ฌ๐ง Verb Tense Converter</h5></center>") | |
with gr.Row(): | |
input_verb = gr.Textbox( | |
label = "1. Enter a verb", | |
max_lines=1, | |
placeholder = "Enter here a single verb in any tense...", | |
) | |
btn_get = gr.Button( | |
value = "2. Click here to convert!" | |
) | |
with gr.Row(): | |
error = gr.HTML() | |
with gr.Row(variant='panel'): | |
output = gr.Markdown() | |
with gr.Row(): | |
gr.HTML(""" | |
<center> | |
<div class="alert alert-light" role="status"> | |
CLARIFICATION: Note that when it comes to returning the correct inflection, different types of problems can arise. The library in charge of performing such conversions is based on the third-party dataset AGID, which it does not maintain. | |
</div> | |
</center> | |
""") | |
btn_get.click( | |
fn = execute.get, | |
inputs = input_verb, | |
outputs = [error, output], | |
api_name="get" | |
) | |
iface.launch( | |
server_name = "0.0.0.0" | |
) |