Update app.py

app.py

@@ -2,6 +2,7 @@ import os, sys
 import streamlit as st
 import pandas as pd
 import numpy as np
+import plotly.express as px
 from sklearn.metrics.pairwise import paired_cosine_distances
 from sklearn.preprocessing import normalize
 from rolaser import RoLaserEncoder
@@ -21,18 +22,33 @@ c_rolaser_vocab = f"{os.environ['ROLASER']}/models/c-rolaser.cvocab"
 c_rolaser_tokenizer = 'char'
 c_rolaser_model = RoLaserEncoder(model_path=c_rolaser_checkpoint, vocab=c_rolaser_vocab, tokenizer=c_rolaser_tokenizer)
 
+
+STD_SENTENCES = ['See you tomorrow.'] * 10
+UGC_SENTENCES = [
+    'See you tmrw.',
+    'See you t03orro3.',
+    'C. U. tomorrow.',
+    'sea you tomorrow.',
+    'See yo utomorrow.',
+    'See you tkmoerow.',
+    'Cu 2moro.',
+    'See yow tomorrow.',
+    'C. Yew tomorrow.',
+    'c ya 2morrow.'
+]
+
 def add_text_inputs(i):
     col1, col2 = st.columns(2)
     with col1:
-        text_input1 = st.text_input('Enter standard text here:', f'std{i}')
+        text_input1 = st.text_input('Enter standard text here:', key=f'std{i}', value=STD_SENTENCES[i])
     with col2:
-        text_input2 = st.text_input('Enter non-standard text here:', f'ugc{i}')
+        text_input2 = st.text_input('Enter non-standard text here:', key=f'ugc{i}', value=UGC_SENTENCES[i])
     return text_input1, text_input2
 
 def main():
     st.title('Pairwise Cosine Distance Calculator')
 
-    num_pairs = st.sidebar.number_input('Number of Text Input Pairs', min_value=1, max_value=10, value=1)
+    num_pairs = st.sidebar.number_input('Number of Text Input Pairs', min_value=1, max_value=10, value=5)
 
     std_text_inputs = []
     ugc_text_inputs = []
@@ -41,11 +57,6 @@ def main():
         std_text_inputs.append(pair[0])
         ugc_text_inputs.append(pair[1])
 
-    if st.button('Add Text Input Pair'):
-        pair = add_text_inputs(len(std_text_inputs))
-        std_text_inputs.append(pair[0])
-        ugc_text_inputs.append(pair[1])
-
     if st.button('Submit'):
         X_std_laser = normalize(laser_model.encode(std_text_inputs))
         X_ugc_laser = normalize(laser_model.encode(ugc_text_inputs))
@@ -60,19 +71,22 @@ def main():
         X_cos_c_rolaser = paired_cosine_distances(X_std_c_rolaser, X_ugc_c_rolaser)
 
         outputs = pd.DataFrame(columns=[ 'model', 'pair', 'ugc', 'std', 'cos'])
-        outputs['model'] = np.repeat(['LASER', 'RoLASER', 'C-RoLASER'], 3)   
+        outputs['model'] = np.repeat(['LASER', 'RoLASER', 'c-RoLASER'], num_pairs)   
         outputs['pair'] = np.tile(np.arange(1,num_pairs+1), 3)
         outputs['std'] = np.tile(std_text_inputs, 3)
         outputs['ugc'] = np.tile(ugc_text_inputs, 3)
-        outputs['cos'] = np.concatenate([X_cos_laser, X_cos_rolaser, X_cos_c_rolaser], axis=1)
+        outputs['cos'] = np.concatenate([X_cos_laser, X_cos_rolaser, X_cos_c_rolaser])
 
         st.write('## Cosine Distance Scores:')
-        st.bar_chart(outputs, x='pair', y='cos', color='model', title='Cosine Distance Scores', xlabel='Text Input Pair', ylabel='Cosine Distance', legend='Model')
+        fig = px.bar(outputs, x='x_column', y='y_column', color='model', barmode='group')
+        fig.update_layout(title='Cosine Distance Scores')
+        fig.update_xaxes(title_text='Text Input Pair')
+        fig.update_yaxes(title_text='Cosine Distance')
+        st.plotly_chart(fig, use_container_width=True)
 
         st.write('## Average Cosine Distance Scores:')
-        st.write(f'LASER: {outputs[outputs["model"]=="LASER"]["cos"].mean()}')
-        st.write(f'RoLASER: {outputs[outputs["model"]=="RoLASER"]["cos"].mean()}')
-        st.write(f'C-RoLASER: {outputs[outputs["model"]=="C-RoLASER"]["cos"].mean()}')
+        st.write(outputs.groupby('model')['cos'].describe())
+
         
 if __name__ == "__main__":
     main()