Update app.py

app.py

@@ -1,20 +1,12 @@
-# ============================================
-# RULE-BASED SENTIMENT ANALYSIS
-# Python + Gradio
-# ============================================
-
-
-
-# Import libraries
 import re
 import gradio as gr
 
 
-# ============================================
-# SENTIMENT RULES
-# ============================================
+# ============================================================
+# RULE-BASED SENTIMENT WORDS
+# ============================================================
 
-positive_words = {
+POSITIVE_WORDS = {
     "good",
     "great",
     "excellent",
@@ -41,7 +33,7 @@ positive_words = {
 }
 
 
-negative_words = {
+NEGATIVE_WORDS = {
     "bad",
     "terrible",
     "awful",
@@ -70,80 +62,89 @@ negative_words = {
 }
 
 
-# ============================================
+# ============================================================
 # SENTIMENT ANALYSIS FUNCTION
-# ============================================
+# ============================================================
 
 def sentiment_analyzer(text):
 
-    # Check empty input
+    # Check for empty input
     if not text or not text.strip():
-        return "Please enter a sentence."
+        return (
+            "⚠️ Please enter a sentence.",
+            0,
+            0,
+            "None",
+            "None"
+        )
 
-    # Convert to lowercase
-    text_lower = text.lower()
+    # Convert sentence to lowercase
+    text = text.lower()
 
     # Extract words
-    words = re.findall(r'\b\w+\b', text_lower)
+    words = re.findall(r"\b\w+\b", text)
 
     # Find positive words
     positive_matches = [
         word for word in words
-        if word in positive_words
+        if word in POSITIVE_WORDS
     ]
 
     # Find negative words
     negative_matches = [
         word for word in words
-        if word in negative_words
+        if word in NEGATIVE_WORDS
     ]
 
-    # Count sentiment words
+    # Count positive and negative words
     positive_count = len(positive_matches)
     negative_count = len(negative_matches)
 
-    # ========================================
+    # ========================================================
     # SENTIMENT DECISION RULE
-    # ========================================
+    # ========================================================
 
     if positive_count > negative_count:
-
         sentiment = "😊 Positive"
 
     elif negative_count > positive_count:
-
         sentiment = "😞 Negative"
 
     else:
-
         sentiment = "😐 Neutral"
 
-
-    # ========================================
+    # ========================================================
     # CREATE RESULT
-    # ========================================
+    # ========================================================
 
-    result = f"""
-Sentiment: {sentiment}
+    result = f"""Sentiment: {sentiment}
 
 Positive words detected: {positive_count}
 Negative words detected: {negative_count}
 
 Positive matches:
-{', '.join(positive_matches) if positive_matches else 'None'}
+{", ".join(positive_matches) if positive_matches else "None"}
 
 Negative matches:
-{', '.join(negative_matches) if negative_matches else 'None'}
+{", ".join(negative_matches) if negative_matches else "None"}
 """
 
-    return result
+    return (
+        result,
+        positive_count,
+        negative_count,
+        ", ".join(positive_matches) if positive_matches else "None",
+        ", ".join(negative_matches) if negative_matches else "None"
+    )
 
 
-# ============================================
-# GRADIO USER INTERFACE
-# ============================================
+# ============================================================
+# GRADIO INTERFACE
+# ============================================================
 
-with gr.Blocks() as app:
+with gr.Blocks(
+    title="Rule-Based Sentiment Analysis"
+) as app:
 
     gr.Markdown(
         """
@@ -161,52 +162,73 @@ with gr.Blocks() as app:
         😐 **Neutral**
 
         ---
-        
-        **Note:** This application does not use an AI model,
-        machine learning, or an API.
+
+        **How it works:**  
+        The application checks the words in your sentence
+        against predefined positive and negative word lists.
+
+        **No AI model • No API • No Machine Learning**
         """
     )
 
+    # ========================================================
+    # INPUT
+    # ========================================================
 
-    # Text input
     text_input = gr.Textbox(
         label="Enter your sentence",
         placeholder="Example: I really love this application!",
         lines=4
     )
 
+    # ========================================================
+    # ANALYZE BUTTON
+    # ========================================================
 
-    # Analyze button
     analyze_button = gr.Button(
         "Analyze Sentiment",
         variant="primary"
     )
 
+    # ========================================================
+    # MAIN OUTPUT
+    # ========================================================
 
-    # Output
     output = gr.Textbox(
         label="Analysis Result",
-        lines=10
+        lines=10,
+        interactive=False
     )
 
+    # ========================================================
+    # BUTTON EVENT
+    # ========================================================
 
-    # Button action
     analyze_button.click(
         fn=sentiment_analyzer,
         inputs=text_input,
         outputs=output
     )
 
+    # ========================================================
+    # CLEAR BUTTON
+    # ========================================================
 
-    # Clear button
-    clear_button = gr.ClearButton(
-        components=[text_input, output],
+    gr.ClearButton(
+        components=[
+            text_input,
+            output
+        ],
         value="Clear"
     )
 
 
-# ============================================
-# LAUNCH APPLICATION
-# ============================================
+# ============================================================
+# LAUNCH
+# ============================================================
+
 if __name__ == "__main__":
-    app.launch()
+    app.launch(
+        server_name="0.0.0.0",
+        server_port=7860
+    )