Delete resumo.py

resumo.py

@@ -1,37 +0,0 @@
-import streamlit as st
-from langchain.llms import HuggingFaceHub
-from transformers import T5Tokenizer
-from transformers import T5Model, T5ForConditionalGeneration  
-
-
-
-#Function to return the response
-def load_answer(question):
-    token_name = 'unicamp-dl/ptt5-base-portuguese-vocab'
-    model_name = 'phpaiola/ptt5-base-summ-xlsum'
-    tokenizer = T5Tokenizer.from_pretrained(token_name )
-    model_pt = T5ForConditionalGeneration.from_pretrained(model_name)
-    inputs = tokenizer.encode(question, max_length=512, truncation=True, return_tensors='pt')
-    summary_ids = model_pt.generate(inputs, max_length=256, min_length=32, num_beams=5, no_repeat_ngram_size=3, early_stopping=True)
-    summary = tokenizer.decode(summary_ids[0])
-    return summary
-
-#App UI starts here
-st.image("https://www.viajenaviagem.com/wp-content/uploads/2020/02/belo-horizonte-pampulha.jpg.webp", caption='Autoria de Thiago Lanza. Todos os direitos reservados')
-st.header("Resumo de frases")
-st.subheader("Digite uma frase para que seja resumida")
-
-#Gets the user input
-def get_text():
-    input_text = st.text_input("Sua frase em português: ", key="input")
-    return input_text
-
-user_input=get_text()
-response = load_answer(user_input)
-
-submit = st.button('Resumir')
-
-if submit:
-
-    st.subheader("Resumo:")
-    st.write(response)