Update app.py

app.py

@@ -4,6 +4,7 @@ from transformers import T5Tokenizer,AutoModelForCausalLM
 tokenizer = T5Tokenizer.from_pretrained("rinna/japanese-gpt2-small")
 model3 = AutoModelForCausalLM.from_pretrained("./models")
 model3.to("cpu")
+description = "文書を入力すると、その後に、サザンオールスターズ風の歌詞を生成します"
 
 def getarate_sentences3(seed_sentence):
     x = tokenizer.encode(seed_sentence, return_tensors="pt", add_special_tokens=False)  # 入力
@@ -24,6 +25,7 @@ def getarate_sentences3(seed_sentence):
     generated_sentences = tokenizer.batch_decode(y, skip_special_tokens=True)  # 特殊トークンをスキップして文章に変換
     return generated_sentences[0]
 
-demo = gr.Interface(fn=getarate_sentences3, inputs="text", outputs="text")
+demo = gr.Interface(fn=getarate_sentences3, inputs=gr.Textbox(lines=3, placeholder="文章を入力してください"), outputs="text", title="Southern All Stars style lyrics", description=descriptions)
+
 
 demo.launch()