modified app file

app.py

@@ -9,13 +9,12 @@ model = AutoModelForSequenceClassification.from_pretrained(model_ckpt)
 tokenizer = AutoTokenizer.from_pretrained(model_ckpt)
 
 
-
 def detect_language(sentence):
-  tokenized_sentence = tokenizer(sentence, return_tensors='pt')
-  output = model(**tokenized_sentence)
-  predictions = torch.nn.functional.softmax(output.logits, dim=-1)
-  _, preds = torch.max(predictions, dim=-1)
-  return LANGUANGE_MAP[preds.item()]
+    tokenized_sentence = tokenizer(sentence, return_tensors='pt')
+    output = model(**tokenized_sentence)
+    predictions = torch.nn.functional.softmax(output.logits, dim=-1)
+    _, preds = torch.max(predictions, dim=-1)
+    return LANGUANGE_MAP[preds.item()]
 
 examples = [
     "I've been waiting for a HuggingFace course my whole life.",
@@ -23,12 +22,14 @@ examples = [
     "Jumpa lagi, saya pergi kerja.",
     "你食咗飯未呀?",
     "もう食べましたか?",
-    "as-tu mangé"
+    "as-tu mangé",
+    "أريد أن ألعب كرة الريشة"
 ]
 
 inputs=gr.inputs.Textbox(placeholder="Enter your text here", label="Text content", lines=5)
-outputs=gr.outputs.Label(num_top_classes=3, label="Language detected:")
+outputs=gr.outputs.Label(label="Language detected:")
 article = """
+Fine-tuned from xlm-roberta-base model.
 Supported languages: 
     'Arabic', 'Basque', 'Breton', 'Catalan', 'Chinese_China', 'Chinese_Hongkong', 'Chinese_Taiwan', 'Chuvash', 'Czech', 
     'Dhivehi', 'Dutch', 'English', 'Esperanto', 'Estonian', 'French', 'Frisian', 'Georgian', 'German', 'Greek', 'Hakha_Chin', 
@@ -36,6 +37,7 @@ Supported languages:
     'Mangolian', 'Persian', 'Polish', 'Portuguese', 'Romanian', 'Romansh_Sursilvan', 'Russian', 'Sakha', 'Slovenian', 
     'Spanish', 'Swedish', 'Tamil', 'Tatar', 'Turkish', 'Ukranian', 'Welsh'
 """
+
 gr.Interface(
     fn=detect_language,
     inputs=inputs,
@@ -43,7 +45,7 @@ gr.Interface(
     verbose=True,
     examples = examples,
     title="Language Detector",
-    description="A simple language detector fine-tuned from xlm-roberta-base model which can detect 45 languages.",
+    description="A simple interface to detect 45 languages.",
     article=article,
     theme="huggingface"
 ).launch()