Create app.py

app.py

@@ -0,0 +1,19 @@
+from transformers import pipeline
+import gradio as gr
+
+translator = pipeline("translation", model = "penpen/novel-zh-en", max_time = 7)
+classifier = pipeline ("text-classification", model = 'bhadresh-savani/bert-base-uncased-emotion', top_k = 1)
+
+def on_click(chines_text):
+    text = translator(chines_text)[0]["translation_text"]
+    return text, classifier(text)
+
+with gr.Blocks() as block:
+    gr.Markdown("<center><h1>中文情感识别</h1></center>")
+    tb_input = gr.Textbox(label = "输入", placeholder = "输入中文句子", lines = 1)
+    btn = gr.Button("识别", variant = 'primary')
+    tb_tans = gr.Textbox(label = "翻译结果")
+    tb_class = gr.Textbox(label = "识别结果")
+    btn.click(fn = on_click, inputs = tb_input, outputs = [tb_tans, tb_class])
+block.queue(concurrency_count = 30)
+block.launch()