Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,7 +1,6 @@
|
|
| 1 |
import streamlit as st
|
| 2 |
from transformers import pipeline
|
| 3 |
import nltk
|
| 4 |
-
import numpy as np
|
| 5 |
|
| 6 |
# Download NLTK data for sentence tokenization
|
| 7 |
nltk.download('punkt')
|
|
@@ -39,7 +38,7 @@ threshold = st.slider(
|
|
| 39 |
max_value=1.0,
|
| 40 |
value=0.2,
|
| 41 |
step=0.05,
|
| 42 |
-
help="Categories with
|
| 43 |
)
|
| 44 |
|
| 45 |
# Classify button
|
|
@@ -77,10 +76,8 @@ if st.button("Classify Feedback"):
|
|
| 77 |
"sentiment_score": sentiment_score
|
| 78 |
})
|
| 79 |
|
| 80 |
-
#
|
| 81 |
st.subheader("Categorized Feedback with Sentiment Analysis")
|
| 82 |
-
|
| 83 |
-
# Flag to check if any categories were found
|
| 84 |
found_categories = False
|
| 85 |
|
| 86 |
for category, results in category_results.items():
|
|
|
|
| 1 |
import streamlit as st
|
| 2 |
from transformers import pipeline
|
| 3 |
import nltk
|
|
|
|
| 4 |
|
| 5 |
# Download NLTK data for sentence tokenization
|
| 6 |
nltk.download('punkt')
|
|
|
|
| 38 |
max_value=1.0,
|
| 39 |
value=0.2,
|
| 40 |
step=0.05,
|
| 41 |
+
help="Categories with scores above this threshold will be displayed."
|
| 42 |
)
|
| 43 |
|
| 44 |
# Classify button
|
|
|
|
| 76 |
"sentiment_score": sentiment_score
|
| 77 |
})
|
| 78 |
|
| 79 |
+
# Check if there are any relevant categories
|
| 80 |
st.subheader("Categorized Feedback with Sentiment Analysis")
|
|
|
|
|
|
|
| 81 |
found_categories = False
|
| 82 |
|
| 83 |
for category, results in category_results.items():
|