Create app.py

app.py

@@ -0,0 +1,46 @@
+from easynmt import EasyNMT
+import os
+
+trans_model = EasyNMT("m2m_100_1.2B")
+
+import gradio as gr
+
+example_sample = [
+    ["What is the US currency?","en","zh"],
+    ["What is the US currency?","en","ja"],
+    ["美国的通货是什么？", "zh", "en"]
+]
+
+def demo_func(src_question, src_lang, tgt_lang):
+    assert type(src_question) == type("")
+    assert type(src_lang) == type("")
+    assert type(tgt_lang) == type("")
+    if "[SEP]" in src_question:
+        src_question = list(filter(lambda xx: xx ,map(lambda x: x.strip() ,
+        src_question.split("[SEP]"))))
+    else:
+        src_question = [src_question]
+    tgt_question = trans_model.translate(
+        src_question,
+        source_lang=src_lang, target_lang = tgt_lang
+    )
+    assert type(tgt_question) == type([])
+    tgt_question = "[SEP]".join(tgt_question)
+    return {
+        "Target Question": tgt_question
+    }
+
+
+demo = gr.Interface(
+        fn=demo_func,
+        inputs=[gr.Text(label = "Source Question"),
+                gr.Text(label = "Source Language", value = "en"),
+                gr.Text(label = "Target Language", value = "zh")
+        ],
+        outputs="json",
+        title=f"Translate 🐱 demonstration",
+        examples=example_sample if example_sample else None,
+        cache_examples = False
+    )
+
+demo.launch(server_name=None, server_port=None)