Delete app.py

app.py

@@ -1,71 +0,0 @@
-from transformers import pipeline
-import gradio as gr
-import pandas as pd
-
-
-models = []
-models.append("MoritzLaurer/mDeBERTa-v3-base-mnli-xnli") ### 0
-models.append("MoritzLaurer/multilingual-MiniLMv2-L6-mnli-xnli") ### 1 Fast
-models.append("MoritzLaurer/deberta-v3-large-zeroshot-v2.0") ### 2
-models.append("facebook/bart-large-mnli") ### 3
-models.append("MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7") ### 4
-
-model = models[1]
-#classifier = pipeline("zero-shot-classification", model=model)
-
-def coding(model, text, codetext):
-    classifier = pipeline("zero-shot-classification", model=model)
-    codelist = codetext.split(',')
-    output = classifier(text, codelist, multi_label=True)
-    return output
-    
-
-
-def read_excel_file(file):
-    # Read the Excel file
-    data = pd.read_excel(file.name, sheet_name="codelist")
-    return data
-
-iface = gr.Interface(
-    fn=coding, 
-    inputs=[
-        # gr.HTML(
-        #     "<a style='font-size:120%' href='https://huggingface.co/models?pipeline_tag=zero-shot-classification&language=zh&sort=downloads'>https://huggingface.co/models</a>"
-        # ),  
-        gr.Radio(
-            [
-                "facebook/bart-large-mnli",
-                "MoritzLaurer/multilingual-MiniLMv2-L6-mnli-xnli",
-                "MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7",
-                "MoritzLaurer/mDeBERTa-v3-base-mnli-xnli",
-                "MoritzLaurer/deberta-v3-large-zeroshot-v2.0",
-                #"joeddav/xlm-roberta-large-xnli"
-            ],
-            #min_width=200,
-            #scale=2,
-            value="facebook/bart-large-mnli",
-            label="Model"
-        ),
-        gr.TextArea(
-            label='Comment',
-            value='感覺性格溫和，適合香港人，特別係亞洲人的肌膚，不足之處就是感覺很少有優惠，價錢都比較貴'
-        ),
-        gr.Textbox(
-            label='Code list',
-            value='非常好/很好/好滿意,價錢合理/實惠/不太貴/親民/價格適中/價格便宜/價錢大眾化,價錢貴/不合理/比日本台灣貴/可以再平d/Sasa 卓悅買會平啲'
-        )
-    ],
-    outputs=[
-        #gr.Textbox(label='Result')
-        gr.JSON()
-        #gr.BarPlot()
-    ],
-    title="NuanceTree Coding Test",
-    description="Test Zero-Shot Classification",
-    allow_flagging='never'
-)
-
-# #iface.clear
-#gr.close_all()
-#iface.launch(server_name="0.0.0.0", server_port=7777)
-iface.launch()