Spaces:
Sleeping
Sleeping
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from transformers import pipeline
|
3 |
+
|
4 |
+
# Initialize the language detection pipeline
|
5 |
+
language_detector = pipeline("text-classification", model="papluca/xlm-roberta-base-language-detection")
|
6 |
+
|
7 |
+
# Function to detect language
|
8 |
+
def detect_language(sentence):
|
9 |
+
result = language_detector(sentence)
|
10 |
+
return result[0]['label']
|
11 |
+
|
12 |
+
# Gradio interface
|
13 |
+
iface = gr.Interface(
|
14 |
+
fn=detect_language,
|
15 |
+
inputs=gr.Textbox(label="Input Sentence"),
|
16 |
+
outputs=gr.Textbox(label="Detected Language")
|
17 |
+
)
|
18 |
+
|
19 |
+
# Launch the interface
|
20 |
+
iface.launch()
|