Spaces:
Sleeping
Sleeping
File size: 3,671 Bytes
2b74b8d 1d796c6 2b74b8d 1d796c6 2b74b8d 1d796c6 2b74b8d 1d796c6 2b74b8d ba61797 2b74b8d 15140f9 ba61797 2b74b8d 1d796c6 2b74b8d 1d796c6 2b74b8d 1d796c6 2b74b8d 1d796c6 2b74b8d 1d796c6 | 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 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 | import gradio as gr
# Modellarni import qilish
from uzmorph_nn.uzmorph_nn import uzmorph_nn
from uzmorph_bigru.uzmorph_bigru import uzmorph_bigru
from uzmorph_transformer.uzmorph_transformer import uzmorph_transformer
# Modellarni ishga tushirish
models = {
"uzmorph-nn (BiLSTM)": uzmorph_nn(),
"uzmorph-bigru (BiGRU)": uzmorph_bigru(),
"uzmorph-transformer (Transformer)": uzmorph_transformer(),
}
def analyze(word, selected_models):
if not word or not word.strip():
return "Iltimos, so'z kiriting."
if not selected_models:
return "Kamida bitta model tanlang."
word = word.strip().lower()
rows = []
for name in selected_models:
analyzer = models[name]
try:
result = analyzer.analyze(word)
rows.append(
f"### {name}\n"
f"| Xususiyat | Qiymat |\n"
f"|:---|:---|\n"
f"| **Stem (O'zak)** | `{result.stem}` |\n"
f"| **POS (So'z turkumi)** | `{result.pos}` |\n"
f"| **Features (Xususiyatlar)** | `{result.features}` |\n"
)
except Exception as e:
rows.append(f"### {name}\nXatolik: {e}\n")
header = f"## Natijalar: `{word}`\n---\n"
return header + "\n---\n".join(rows)
custom_theme = gr.themes.Soft(
primary_hue="blue",
secondary_hue="slate",
neutral_hue="slate",
font=gr.themes.GoogleFont("Inter"),
font_mono=gr.themes.GoogleFont("JetBrains Mono"),
)
with gr.Blocks(
title="UzMorph_NN — Uzbek Neural Morphological Analyzers",
theme=custom_theme,
css="""
.gradio-container { max-width: 960px; margin: auto; }
footer { display: none !important; }
"""
) as demo:
gr.Markdown(
"# UzMorph_NN — Uzbek Neural Morphological Analyzers \n"
"O'zbek tilidagi so'zlarni morfologik tahlil qilish uchun neyron tarmoq asosidagi modellar. \n"
"Web: <a href='https://morph.uz' target='_blank'>morph.uz</a> | "
"Rule-based Model Version: <a href='https://huggingface.co/spaces/ulugbeksalaev/uzmorph' target='_blank'>UzMorph</a> \n"
)
with gr.Row():
with gr.Column(scale=1):
word_input = gr.Textbox(
label="So'zni kiriting",
placeholder="maktabimizda",
lines=1
)
model_selector = gr.CheckboxGroup(
choices=list(models.keys()),
value=["uzmorph-nn (BiLSTM)"],
label="Modellarni tanlang"
)
analyze_btn = gr.Button("Tahlil qilish", variant="primary")
gr.Markdown("### Misollar")
gr.Examples(
examples=[["ishladik"], ["kitoblarim"], ["borgan"], ["yozdi"]],
inputs=[word_input]
)
with gr.Column(scale=2):
output = gr.Markdown(label="Natijalar", value="Tahlil natijalari bu yerda ko'rinadi...")
analyze_btn.click(
fn=analyze,
inputs=[word_input, model_selector],
outputs=output
)
word_input.submit(
fn=analyze,
inputs=[word_input, model_selector],
outputs=output
)
gr.Markdown(
"---\n"
"### PyPI orqali o'rnatish\n"
"```bash\n"
"pip install uzmorph-nn # BiLSTM\n"
"pip install uzmorph-bigru # BiGRU\n"
"pip install uzmorph-transformer # Transformer\n"
"```\n"
"---\n"
"**Muallif**: Ulugbek Salaev \n"
'Website: <a href="https://morph.uz" target="_blank">morph.uz</a>\n'
)
if __name__ == "__main__":
demo.launch(ssr_mode=False)
|