harry-stark commited on
Commit
202a9f4
1 Parent(s): 5e1fd7e

Refactor: New model and removed multilingual support

Browse files
Files changed (3) hide show
  1. app.py +1 -2
  2. examples.json +1 -1
  3. utils.py +7 -1
app.py CHANGED
@@ -3,10 +3,9 @@ from typing import Sequence
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  import streamlit as st
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  from hf_model import classifier_zero,load_model
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  from utils import plot_result,examples_load
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-
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  classifier=load_model()
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-
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  ex_text,ex_labels=examples_load()
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  import streamlit as st
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  from hf_model import classifier_zero,load_model
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  from utils import plot_result,examples_load
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+ import json
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  classifier=load_model()
 
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  ex_text,ex_labels=examples_load()
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examples.json CHANGED
@@ -1,4 +1,4 @@
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  {
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  "text":"The Democratic president had just signed into law the most significant infrastructure package in generations. And he had done it by bringing Democrats and Republicans together.",
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- "labels":["Economy", "Politics", "Environment", "Entertainment"]
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  }
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  {
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  "text":"The Democratic president had just signed into law the most significant infrastructure package in generations. And he had done it by bringing Democrats and Republicans together.",
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+ "labels":"'Economy', 'Politics', 'Environment', 'Entertainment'"
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  }
utils.py CHANGED
@@ -1,6 +1,7 @@
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  import streamlit as st
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  import numpy as np
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  import plotly.express as px
 
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  def plot_result(top_topics, scores):
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  top_topics = np.array(top_topics)
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  scores = np.array(scores)
@@ -14,4 +15,9 @@ def plot_result(top_topics, scores):
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  color_continuous_scale='GnBu')
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  fig.update(layout_coloraxis_showscale=False)
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  fig.update_traces(texttemplate='%{text:0.1f}%', textposition='outside')
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- st.plotly_chart(fig)
 
 
 
 
 
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  import streamlit as st
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  import numpy as np
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  import plotly.express as px
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+ import json
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  def plot_result(top_topics, scores):
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  top_topics = np.array(top_topics)
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  scores = np.array(scores)
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  color_continuous_scale='GnBu')
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  fig.update(layout_coloraxis_showscale=False)
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  fig.update_traces(texttemplate='%{text:0.1f}%', textposition='outside')
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+ st.plotly_chart(fig)
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+
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+ def examples_load():
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+ with open("examples.json") as f:
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+ data=json.load(f)
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+ return data['text'],data['labels']