Delete app.py

app.py

@@ -1,64 +0,0 @@
-import gradio as gr
-import re
-
-from transformers import (
-    BertTokenizer,
-    BartForConditionalGeneration,
-    pipeline
-)
-
-#DEFINE TEXT CLEANING FUNCTION
-def clean_text(text):
-    text = re.sub(r"http\S+", "", text)
-    text = re.sub(r"ADVERTISEMENT", " ", text)
-    text = re.sub(r"ADVERTISING", " ", text)
-    text = re.sub(r"\n", " ", text)
-    text = re.sub(r"\n\n", " ", text)
-    text = re.sub(r"\t", " ", text)
-    text = text.strip(" ")
-    text = re.sub(
-        " +", " ", text
-    ).strip()  # get rid of multiple spaces and replace with a single
-    return text
-
-#Define headlne writer functon
-model_name = "chinhon/bart-large-chinese-cnhdwriter"
-
-tokenizer = BertTokenizer.from_pretrained(model_name, model_max_length=512)
-
-model = BartForConditionalGeneration.from_pretrained(model_name)
-
-text2text_generator = pipeline(
-    "text2text-generation",
-    model=model,
-    tokenizer=tokenizer,
-    truncation=True
-)
-
-def cn_text(text):
-    input_text = clean_text(text)
-
-    prediction = text2text_generator(
-        input_text,
-        max_length=128,
-        length_penalty=50.,
-    )
-
-    pred_text = [x.get("generated_text") for x in prediction]
-
-    return pred_text[0]
-
-
-#3 Define Gradio UI
-gradio_ui = gr.Interface(
-    fn=cn_text,
-    title="Chinese News Headlines Generator",
-    description="Too busy or tired to write a headline for your Chinese news story? Try this instead.",
-    inputs=gr.inputs.Textbox(
-        lines=20, label="Paste Chinese text here"
-    ),
-    outputs=gr.outputs.Textbox(label="Suggested Headline"),
-    theme="huggingface",
-)
-
-gradio_ui.launch(enable_queue=True)