new

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 from collections import Counter
 import re
-from textblob import TextBlob
 import textstat
 from transformers import pipeline
 from langdetect import detect
@@ -22,9 +21,6 @@ def word_and_char_counter(text):
     most_common_words = word_freq.most_common(3)
     unique_words = [word for word, count in word_freq.items() if count == 1]
 
-    # Analyze sentiment
-    sentiment = TextBlob(text).sentiment
-
     # Calculate Flesch Reading Ease score
     reading_ease = textstat.flesch_reading_ease(text)
 
@@ -37,8 +33,8 @@ def word_and_char_counter(text):
     # Format the results
     freq_results = ', '.join([f"'{word}': {count}" for word, count in most_common_words])
     unique_words_result = ', '.join(unique_words)
-    sentiment_text = 'Positive' if sentiment.polarity > 0 else 'Negative' if sentiment.polarity < 0 else 'Neutral'
-    return f"Language: {language}. {num_sentences} sentences, {num_words} words, {num_chars} characters. Most common words: {freq_results}. Unique words: {unique_words_result}. Sentiment: {sentiment_text}. Readability (Flesch Reading Ease): {reading_ease:.2f}. Summary: {summary}"
+
+    return f"Language: {language}. {num_sentences} sentences, {num_words} words, {num_chars} characters. Most common words: {freq_results}. Unique words: {unique_words_result}. Readability (Flesch Reading Ease): {reading_ease:.2f}. Summary: {summary}"
 
 # Define your interface
 interface = gr.Interface(
@@ -46,7 +42,7 @@ interface = gr.Interface(
     inputs=gr.Textbox(lines=4, placeholder="Type something here..."),
     outputs="text",
     title="Comprehensive Text Analysis with Language Detection",
-    description="This app provides detailed analysis including language detection, sentence, word, and character counts, lists the most common and unique words, analyzes sentiment, calculates readability, and provides a concise summary of the text."
+    description="This app provides detailed analysis including language detection, sentence, word, and character counts, lists the most common and unique words, calculates readability, and provides a concise summary of the text."
 )
 
 # Launch the app