Update app.py

app.py

@@ -1,9 +1,6 @@
 import gradio as gr
 import pandas as pd
 import numpy as np
-from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
-
-analyzer = SentimentIntensityAnalyzer()
 
 restaurants = ['PastaPlace', 'BurgerHub', 'SushiBar', 'TacoLoco', 'CafeBleu']
 
@@ -16,32 +13,32 @@ df_sales = pd.DataFrame({
 })
 
 def analyze_restaurant(restaurant, review):
-    # Sentiment analysis
-    score = analyzer.polarity_scores(review)['compound']
-    if score > 0.05:
+    # Simple keyword sentiment
+    positive_words = ['amazing', 'great', 'fantastic', 'loved', 'best', 'delicious']
+    negative_words = ['terrible', 'bad', 'disappointing', 'never', 'worst', 'expensive']
+    
+    review_lower = review.lower()
+    pos = sum(w in review_lower for w in positive_words)
+    neg = sum(w in review_lower for w in negative_words)
+    
+    if pos > neg:
         sentiment = "😊 Positive"
-    elif score < -0.05:
+        recommendation = "📈 Increase prices by 10% - Strong performance!"
+    elif neg > pos:
         sentiment = "😡 Negative"
+        recommendation = "📉 Improve service before adjusting prices"
     else:
         sentiment = "😐 Neutral"
+        recommendation = "➡️ Keep current pricing strategy"
     
-    # Sales stats
     stats = df_sales[df_sales['restaurant'] == restaurant]['revenue']
     avg_rev = stats.mean().round(2)
     
-    # Pricing recommendation
-    if score > 0.05 and avg_rev > 8000:
-        recommendation = "📈 Increase prices by 10% - Strong performance!"
-    elif score < -0.05:
-        recommendation = "📉 Improve service before adjusting prices"
-    else:
-        recommendation = "➡️ Keep current pricing strategy"
-    
     result = f"""
-    🍽️ Restaurant: {restaurant}
-    📊 Sentiment: {sentiment} (score: {score:.2f})
-    💰 Average Weekly Revenue: €{avg_rev}
-    💡 Recommendation: {recommendation}
+🍽️ Restaurant: {restaurant}
+📊 Sentiment: {sentiment}
+💰 Average Weekly Revenue: €{avg_rev}
+💡 Recommendation: {recommendation}
     """
     return result
 
@@ -49,7 +46,7 @@ iface = gr.Interface(
     fn=analyze_restaurant,
     inputs=[
         gr.Dropdown(choices=restaurants, label="Select Restaurant"),
-        gr.Textbox(label="Enter a customer review", 
+        gr.Textbox(label="Enter a customer review",
                    placeholder="e.g. Amazing food, loved it!")
     ],
     outputs=gr.Textbox(label="Analysis & Recommendation"),