Update app.py

app.py

@@ -1,8 +1,6 @@
 import gradio as gr
-import pandas as pd
-import numpy as np
-from nltk.sentiment import SentimentIntensityAnalyzer
 import nltk
+from nltk.sentiment import SentimentIntensityAnalyzer
 
 # Download VADER lexicon
 nltk.download('vader_lexicon', quiet=True)
@@ -12,9 +10,10 @@ def perform_sentiment_analysis(text):
     return sia.polarity_scores(text)
 
 def categorize_sentiment(compound_score):
-    if compound_score >= 0.05:
+    # Adjusting thresholds for a more balanced classification
+    if compound_score > 0.1:  # Increased positive threshold
         return 'Positive'
-    elif compound_score <= -0.05:
+    elif compound_score < -0.1:  # Increased negative threshold
         return 'Negative'
     else:
         return 'Neutral'
@@ -24,12 +23,25 @@ def analyze_sentiment(input_text):
     sentiment = categorize_sentiment(scores['compound'])
     return {"Sentiment": sentiment, "Scores": scores}
 
+# Example Reddit posts for sentiment analysis
+examples = [
+    "Just got a new job and I'm so excited! The team seems great and the work looks interesting.",  # Positive
+    "I really enjoyed the last movie I watched; it was captivating and well-made.",  # Positive
+    "I'm really frustrated with how the job market is right now. It's so unfair.",    # Negative
+    "I hate Data structures.",  # Negative
+    "The meeting was informative, but it felt a bit long.",  # Neutral
+    "Hey John, did you finish your intro to Machine Learning textbook?",  # Neutral
+]
+
 demo = gr.Interface(
     fn=analyze_sentiment,
-    inputs=gr.Textbox(label="Enter text for sentiment analysis"),
+    inputs=gr.Textbox(label="Enter text for sentiment analysis", placeholder="Type your text here..."),
     outputs="json",
     title="Sentiment Analysis Tool using Reddit Data",
-    description="Analyze sentiment of text using Reddit data."
+    description=(
+        "Enter text to see the sentiment analysis result. You can also use the examples below to test different sentiments."
+    ),
+    examples=examples  # Add the Reddit examples here
 )
 
 demo.launch()