add app.py

app.py

@@ -0,0 +1,34 @@
+# script to load the model and make prediction
+import joblib
+import numpy as np
+import gradio as gr
+
+model = joblib.load("lang_detect_model.joblib")
+
+def detect_lang(text: str) -> str:
+    pred = model.predict([text])
+    # pred_prob = model.predict_proba([text])
+    # pred_prob = round(np.max(pred_prob) * 100, 2)
+    lang_dict = {
+        'ar': 'Arabic',
+        'de': 'Deutsch',
+        'en': 'English',
+        'es': 'Spanish',
+        'fr': 'France',
+        'it': 'Italy',
+        'ja': 'Japanese',
+        'nl': 'Dutch',
+        'pl': 'Polish',
+        'pt': 'Portuguese',
+        'ru': 'Russian'
+    }
+    lang_name = lang_dict[pred[0]]
+    return lang_name
+
+
+iface = gr.Interface(
+        detect_lang,
+        "text",
+        "text"
+)
+iface.launch()

lang_detect_model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b3fe6d5d4246c6cb791902d215aa097f9446617c4eed93f3c278c354b101c79
+size 218514

requirements.txt

@@ -0,0 +1 @@
+scikit-learn