Delete app.py

app.py

@@ -1,40 +0,0 @@
-# from transformers import AutoModelForCausalLM, AutoTokenizer
-import time
-import datetime
-
-import streamlit as st
-
-question = "Name the planets in the solar system? A: "
-question = "Quais são os planetas do sistema solar?" 
-question = "Qual é o maior planeta do sistema solar?" 
-
-before = datetime.datetime.now()
-
-from transformers import AutoTokenizer, XGLMModel
-import torch
-
-prompt = "Question: Qual é o maior planeta do sistema solar ?"
-tokenizer = AutoTokenizer.from_pretrained("facebook/xglm-564M")
-model = XGLMModel.from_pretrained("facebook/xglm-564M")
-
-inputs = tokenizer(prompt, return_tensors="pt")
-outputs = model(**inputs, labels=inputs["input_ids"])
-
-last_hidden_states = outputs.last_hidden_state
-
-output = last_hidden_states
-
-output = tokenizer.batch_decode(output, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
-
-with st.container():
-    st.write('\n\n')
-    st.write('LLM-LANAChat')
-    st.write('\n\n' + output)
-
-print('saida gerada.')
-print('\n\n')
-
-after = datetime.datetime.now()
-current_time = (after - before) # .strftime("%H:%M:%S")
-print("\nTime Elapsed: ", current_time)
-st.write("\nTime Elapsed: ", current_time)