Add application file

app.py

@@ -2,15 +2,37 @@
 import gradio as gr
 from transformers import pipeline
 import os
-translator = pipeline("translation", model=os.path.join(os.getcwd(),"test-ml-trained"), max_time=5)
 
-def en2zh(EnNames):
+# def test(text):
+#     return text
+# inputs=gr.TextArea(lines=10,label='请输入英文字段名',placeholder='以换行\\n为分隔符')
+# outputs=gr.TextArea(lines=10,label='转译结果')
+# interface = gr.Interface(fn=test, inputs=inputs, outputs=outputs)
+# interface.launch()
+
+# translator = pipeline("translation", model=os.path.join(os.getcwd(),"test-ml-trained"), max_time=5)
+# # list-list
+# def en2zh(EnNames):
+#     pres=[]
+#     for name in EnNames:
+#         pre = translator(name[0].replace('_',' '), )[0]["translation_text"]
+#         pres.append([pre])
+#         print(name,pre)
+#     return pres
+# interface = gr.Interface(fn=en2zh, inputs="list", outputs="list")
+# interface.launch()
+
+translator = pipeline("translation", model=os.path.join(os.getcwd(),"test-ml-trained"), max_time=5)
+# text-text
+def en2zh(text):
     pres=[]
-    for name in EnNames:
-        pre = translator(name[0].replace('_',' '), )[0]["translation_text"]
-        pres.append([pre])
+    enNames=text.split('\n')
+    for name in enNames:
+        pre = translator(name.replace('_',' '), )[0]["translation_text"]
+        pres.append(pre)
         print(name,pre)
-    return pres
-
-interface = gr.Interface(fn=en2zh, inputs="list", outputs="list")
-interface.launch()
+    return '\n'.join(pres)
+inputs=gr.TextArea(lines=10,label='请输入英文字段名',placeholder='以换行\\n为分隔符')
+outputs=gr.TextArea(lines=10,label='转译结果')
+interface = gr.Interface(fn=en2zh, inputs=inputs, outputs=outputs)
+interface.launch()