Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+tokenizer = T5Tokenizer.from_pretrained("engmatic-earth/mt5-zh-ja-en-trimmed-fine-tuned-v1")
+model = AutoModelForSeq2SeqLM.from_pretrained("engmatic-earth/mt5-zh-ja-en-trimmed-fine-tuned-v1")
+
+def output(raw_input_sentence):
+    target_sentence = ["en2ja: " + str(raw_input_sentence)]
+    translated = model.generate(**tokenizer(target_sentence, return_tensors="pt", padding=True))
+    tgt_text = [tokenizer.decode(t, skip_special_tokens=True) for t in translated]
+    translated_phrase = tgt_text[0]
+    translated_phrase = translated_phrase.replace(" ", "")
+    return translated_phrase
+    
+interface = gr.Interface(fn=output, inputs=gr.inputs.Textbox(lines=3, placeholder="Write what you want to say in Japanese.")
+                        ,outputs='text')
+interface.launch()