Rifky commited on
Commit
68b97bb
1 Parent(s): 2088fe5

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -4
app.py CHANGED
@@ -11,15 +11,14 @@ from Scraper import Scrap
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  st.set_page_config(layout="wide")
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  model_checkpoint = "Rifky/FND"
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- data_checkpoint = os.path.join(os.getcwd(), "data", "turnbackhoax.csv")
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  label = {0: "valid", 1: "fake"}
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  @st.cache(show_spinner=False, allow_output_mutation=True)
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  def load_model():
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  model = AutoModelForSequenceClassification.from_pretrained(model_checkpoint, num_labels=2)
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- base_model = AutoModel.from_pretrained(model_checkpoint)
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  tokenizer = AutoTokenizer.from_pretrained(model_checkpoint, fast=True)
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- return model, base_model, tokenizer
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  def sigmoid(x):
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  return 1 / (1 + np.exp(-x))
@@ -28,7 +27,7 @@ input_column, reference_column = st.columns(2)
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  input_column.write('# Fake News Detection AI')
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  with st.spinner("Loading Model..."):
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- model, base_model, tokenizer = load_model()
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  data = pd.read_csv(data_checkpoint)
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  user_input = input_column.text_input("Article url")
 
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  st.set_page_config(layout="wide")
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  model_checkpoint = "Rifky/FND"
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+ data_checkpoint = "Rifky/turnbackhoax-encoded"
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  label = {0: "valid", 1: "fake"}
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  @st.cache(show_spinner=False, allow_output_mutation=True)
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  def load_model():
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  model = AutoModelForSequenceClassification.from_pretrained(model_checkpoint, num_labels=2)
 
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  tokenizer = AutoTokenizer.from_pretrained(model_checkpoint, fast=True)
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+ return model, tokenizer
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  def sigmoid(x):
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  return 1 / (1 + np.exp(-x))
 
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  input_column.write('# Fake News Detection AI')
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  with st.spinner("Loading Model..."):
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+ model, tokenizer = load_model()
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  data = pd.read_csv(data_checkpoint)
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  user_input = input_column.text_input("Article url")