Delete app.py

app.py

@@ -1,100 +0,0 @@
-import gradio as gr
-import re
-
-from gradio.mix import Parallel
-from transformers import (
-    AutoTokenizer,
-    AutoModelForSeq2SeqLM
-)
-
-def clean_text(text):
-    text = text.encode("ascii", errors="ignore").decode(
-        "ascii"
-    )  # remove non-ascii, Chinese characters
-    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
-
-
-modchoice_1 = "chinhon/bart-large-cnn-summarizer_03"
-
-def summarizer1(text):
-    input_text = clean_text(text)
-
-    tokenizer_1 = AutoTokenizer.from_pretrained(modchoice_1)
-
-    model_1 = AutoModelForSeq2SeqLM.from_pretrained(modchoice_1)
-
-    with tokenizer_1.as_target_tokenizer():
-        batch = tokenizer_1(
-            input_text, truncation=True, padding="longest", return_tensors="pt"
-        )
-
-    raw_1 = model_1.generate(**batch)
-
-    summary_1 = tokenizer_1.batch_decode(raw_1, skip_special_tokens=True)
-
-    summed_1 = summary_1[0]
-
-    lines1 = summed_1.split(". ")
-
-    for i in range(len(lines1)):
-        lines1[i] = "* " + lines1[i]
-
-    summ_bullet1 = "\n".join(lines1)
-
-    return summ_bullet1
-
-
-summary1 = gr.Interface(
-    fn=summarizer1, inputs=gr.inputs.Textbox(), outputs=gr.outputs.Textbox(label="")
-)
-
-
-modchoice_2 = (
-    "chinhon/pegasus-newsroom-summarizer_02"
-)
-
-def summarizer2(text):
-    input_text = clean_text(text)
-
-    tokenizer_2 = AutoTokenizer.from_pretrained(modchoice_2)
-
-    model_2 = AutoModelForSeq2SeqLM.from_pretrained(modchoice_2)
-
-    with tokenizer_2.as_target_tokenizer():
-        batch = tokenizer_2(
-            input_text, truncation=True, padding="longest", return_tensors="pt"
-        )
-
-    raw_2 = model_2.generate(**batch)
-
-    summary_2 = tokenizer_2.batch_decode(raw_2, skip_special_tokens=True)
-
-    summed_2 = summary_2[0]
-
-    lines2 = summed_2.split(". ")
-
-    for i in range(len(lines2)):
-        lines2[i] = "* " + lines2[i]
-
-    summ_bullet2 = "\n".join(lines2)
-
-    return summ_bullet2
-
-summary2 = gr.Interface(
-    fn=summarizer2, inputs=gr.inputs.Textbox(), outputs=gr.outputs.Textbox(label="")
-)
-
-
-Parallel(
-    summary1,
-    summary2,
-    title="Compare 2 AI Summarizers",
-    inputs=gr.inputs.Textbox(lines=20, label="Paste your news story here, and choose from 2 suggested summaries"),
-).launch(enable_queue=True)