GSridhar1982/EmailSubjectGenerationDemo

1import gradio as gr2from transformers import AutoTokenizer, AutoModelForSeq2SeqLM3import nltk4nltk.download('punkt_tab')5nltk.download('wordnet')6nltk.download('omw-1.4')7 8def generate_subject(email_body):9  model_name = 'anukvma/t5-base-medium-email-subject-generation-v2'10  tokenizer = AutoTokenizer.from_pretrained(model_name)11  model = AutoModelForSeq2SeqLM.from_pretrained(model_name)12  inputs = ["provide email subject: " + email_body]13  inputs = tokenizer(inputs, max_length=512, truncation=True, return_tensors="pt")14  output = model.generate(**inputs, num_beams=8, do_sample=True, min_length=1, max_length=10)15  decoded_output = tokenizer.batch_decode(output, skip_special_tokens=True)[0]16  predicted_title = nltk.sent_tokenize(decoded_output.strip())[0]17  return predicted_title18 19 20iface = gr.Interface(21    fn=generate_subject,22    inputs="textbox",23    outputs="textbox",24    title="AIML Email Subject Generator",25    description="Given the email body, it generates the email subject"26)27 28iface.launch()