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Update app.py
Browse files
app.py
CHANGED
@@ -23,7 +23,7 @@ def plot_word_scores(top_token_ids, outputs, tokenizer, boolq=False, width=600):
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for step, candidates in enumerate(top_token_ids):
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fig.append_trace(
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go.Bar(
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y=tokenizer.convert_ids_to_tokens(candidates),
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x=outputs['scores'][step][0][candidates],
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orientation='h'
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),
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@@ -51,7 +51,7 @@ with col2:
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top_p = st.slider('Top p:', min_value=0.5, max_value=1.0, value=0.99)
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# max_tokens = st.number_input('Max output length:', min_value=1, max_value=64, format='%i')
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max_tokens = st.slider('Max output length: ', min_value=1, max_value=64)
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threshold = st.number_input('Min token score:: ', value=-
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tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
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for step, candidates in enumerate(top_token_ids):
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fig.append_trace(
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go.Bar(
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+
y=[w[1:] for w in tokenizer.convert_ids_to_tokens(candidates)],
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x=outputs['scores'][step][0][candidates],
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orientation='h'
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),
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top_p = st.slider('Top p:', min_value=0.5, max_value=1.0, value=0.99)
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# max_tokens = st.number_input('Max output length:', min_value=1, max_value=64, format='%i')
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max_tokens = st.slider('Max output length: ', min_value=1, max_value=64)
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# threshold = st.number_input('Min token score:: ', value=-10.0)
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tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
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