Upload app.py

app.py

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+from pypinyin import pinyin
+from transformers import M2M100Tokenizer, M2M100ForConditionalGeneration
+from LAC import LAC
+import gradio as gr
+
+model = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_1.2B")
+tokenizer = M2M100Tokenizer.from_pretrained("facebook/m2m100_1.2B")
+lac = LAC(mode="seg")
+
+def make_request(chinese_text):
+  tokenizer.src_lang="zh"
+  encoded_zh = tokenizer(chinese_text, return_tensors="pt")
+  generated_tokens = model.generate(**encoded_zh, forced_bos_token_id=tokenizer.get_lang_id("en"))
+  return tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
+
+def generatepinyin(input):
+  pinyin_list = pinyin(input)
+  pinyin_string = ""
+  for piece in pinyin_list:
+    pinyin_string = pinyin_string+" "+piece[0]
+  return pinyin_string
+
+def generate_response(string_to_translate):
+    response = []
+    response.append([string_to_translate,make_request(string_to_translate),generatepinyin(string_to_translate)])
+    segmented_string_list = lac.run(string_to_translate)
+    for piece in segmented_string_list:
+        response.append([piece,make_request(piece),generatepinyin(piece)])
+    return response
+
+iface = gr.Interface(
+    fn=generate_response,
+    title="English to Chinese",
+    description="English to Chinese with a SOTA model",
+    inputs=gr.inputs.Textbox(lines=5, placeholder="Enter text in Chinese"),
+    outputs="text")
+
+iface.launch()