Update app.py

app.py

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+# ============================================
+# RULE-BASED SENTIMENT ANALYSIS
+# Python + Gradio
+# ============================================
+
+# Install Gradio
+!pip install -q gradio
+
+# Import libraries
+import re
+import gradio as gr
+
+
+# ============================================
+# SENTIMENT RULES
+# ============================================
+
+positive_words = {
+    "good",
+    "great",
+    "excellent",
+    "amazing",
+    "awesome",
+    "happy",
+    "love",
+    "like",
+    "wonderful",
+    "fantastic",
+    "best",
+    "beautiful",
+    "perfect",
+    "nice",
+    "enjoy",
+    "enjoyed",
+    "helpful",
+    "successful",
+    "success",
+    "brilliant",
+    "positive",
+    "thank",
+    "thanks"
+}
+
+
+negative_words = {
+    "bad",
+    "terrible",
+    "awful",
+    "horrible",
+    "sad",
+    "hate",
+    "dislike",
+    "worst",
+    "poor",
+    "ugly",
+    "wrong",
+    "disappointing",
+    "disappointed",
+    "failure",
+    "fail",
+    "failed",
+    "negative",
+    "angry",
+    "boring",
+    "problem",
+    "problems",
+    "difficult",
+    "useless",
+    "slow",
+    "broken"
+}
+
+
+# ============================================
+# SENTIMENT ANALYSIS FUNCTION
+# ============================================
+
+def sentiment_analyzer(text):
+
+    # Check empty input
+    if not text or not text.strip():
+        return "Please enter a sentence."
+
+    # Convert to lowercase
+    text_lower = text.lower()
+
+    # Extract words
+    words = re.findall(r'\b\w+\b', text_lower)
+
+    # Find positive words
+    positive_matches = [
+        word for word in words
+        if word in positive_words
+    ]
+
+    # Find negative words
+    negative_matches = [
+        word for word in words
+        if word in negative_words
+    ]
+
+    # Count sentiment 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}
+
+Positive words detected: {positive_count}
+Negative words detected: {negative_count}
+
+Positive matches:
+{', '.join(positive_matches) if positive_matches else 'None'}
+
+Negative matches:
+{', '.join(negative_matches) if negative_matches else 'None'}
+"""
+
+    return result
+
+
+# ============================================
+# GRADIO USER INTERFACE
+# ============================================
+
+with gr.Blocks() as app:
+
+    gr.Markdown(
+        """
+        # 📝 Rule-Based Sentiment Analysis
+
+        Analyze the sentiment of a sentence using
+        **manually defined rules and keywords**.
+
+        ### Sentiment Categories
+
+        😊 **Positive**
+
+        😞 **Negative**
+
+        😐 **Neutral**
+
+        ---
+        
+        **Note:** This application does not use an AI model,
+        machine learning, or an API.
+        """
+    )
+
+
+    # Text input
+    text_input = gr.Textbox(
+        label="Enter your sentence",
+        placeholder="Example: I really love this application!",
+        lines=4
+    )
+
+
+    # Analyze button
+    analyze_button = gr.Button(
+        "Analyze Sentiment",
+        variant="primary"
+    )
+
+
+    # Output
+    output = gr.Textbox(
+        label="Analysis Result",
+        lines=10
+    )
+
+
+    # Button action
+    analyze_button.click(
+        fn=sentiment_analyzer,
+        inputs=text_input,
+        outputs=output
+    )
+
+
+    # Clear button
+    clear_button = gr.ClearButton(
+        components=[text_input, output],
+        value="Clear"
+    )
+
+
+# ============================================
+# LAUNCH APPLICATION
+# ============================================
+
+app.launch(
+    share=True
+)