Update app.py

app.py

@@ -5,13 +5,13 @@ tokenizer = AutoTokenizer.from_pretrained("TwentyNine/byt5-ain-kana-latin-conver
 model = AutoModelForSeq2SeqLM.from_pretrained("TwentyNine/byt5-ain-kana-latin-converter-v1")
 
 def transcribe(input_str):
-    input_enc  = tokenizer.encode(input_str, return_tensors='pt')
+    input_enc  = tokenizer.encode(input_str.strip(), return_tensors='pt')
     output_enc = model.generate(input_enc, max_length=256)
     return tokenizer.decode(output_enc[0], skip_special_tokens=True)
 
 gradio_app = gr.Interface(
     transcribe,
-    inputs=gr.Textbox(label='Input (kana)', value='', placeholder='', info='Ainu text written in Japanese katakana (input).', interactive=True, autofocus=True),
+    inputs=gr.Textbox(label='Input (kana)', value='トゥイマ　ヒ　ワ　エエㇰ　ワ　ヒオーイオイ。ピㇼカノ　ヌカㇻ　ヤン！', placeholder='トゥイマ　ヒ　ワ　エエㇰ　ワ　ヒオーイオイ。ピㇼカノ　ヌカㇻ　ヤン！', info='Ainu text written in Japanese katakana (input).', interactive=True, autofocus=True),
     outputs=gr.Textbox(label='Output (alphabet)', info='Ainu text written in the Latin alphabet (output).'),
     title="BYT5 Ainu Kana-Latin Converter (V1)",
 )