Create app.py

app.py

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+!pip install gradio --quiet
+
+import gradio as gr
+import re
+
+# Global storage: user-defined rule + classification history
+positive_keywords = []
+classification_history = []
+
+def parse_rule(rule_text):
+    """
+    Parse the comma-separated string of positive words, e.g. "amazing, good".
+    Store them in a global list as lowercase.
+    """
+    global positive_keywords
+
+    if rule_text.strip():
+        words = [w.strip().lower() for w in rule_text.split(',')]
+        positive_keywords = words
+    else:
+        positive_keywords = []
+
+def rule_based_classify(text, positive_words):
+    """
+    If the text contains ANY of the words in positive_words,
+    classify as Positive; otherwise Negative.
+    """
+    lowered = text.lower()
+    for word in positive_words:
+        if word in lowered:
+            return "Positive"
+    return "Negative"
+
+def classify_with_rule(rule_input, statement):
+    """
+    1) Parse the user-defined rule (comma-separated keywords).
+    2) Classify the statement with the updated rule.
+    3) Append to classification history and return an HTML table.
+    """
+    global classification_history
+
+    # 1) Update our global 'positive_keywords'
+    parse_rule(rule_input)
+
+    # 2) Classify the user's statement
+    if statement.strip():
+        label = rule_based_classify(statement, positive_keywords)
+        classification_history.append((statement, label))
+    else:
+        # If no statement was provided, do nothing new
+        label = None
+
+    # Build an HTML table of the classification history
+    html_table = """
+    <table style="border-collapse: collapse;">
+      <tr>
+        <th style="border:1px solid #ccc; padding:8px;">Statement</th>
+        <th style="border:1px solid #ccc; padding:8px;">Classification</th>
+      </tr>
+    """
+    for stmt, cls in classification_history:
+        color = "green" if cls == "Positive" else "red"
+        html_table += f"""
+        <tr>
+          <td style="border:1px solid #ccc; padding:8px;">{stmt}</td>
+          <td style="border:1px solid #ccc; padding:8px; color:{color};"><b>{cls}</b></td>
+        </tr>
+        """
+    html_table += "</table>"
+
+    explanation = """
+    <br>
+    <h4>Discussion (Rule-Based AI):</h4>
+    <ul>
+      <li><b>Pros:</b> You decide the keywords. If they're present, it's "Positive." Otherwise "Negative."</li>
+      <li><b>Cons:</b> If your sentence doesn't contain <i>exactly</i> those keywords, it gets classified incorrectly.
+          Real-world language has many synonyms and nuances that this rule won't catch.</li>
+    </ul>
+    """
+
+    # Return the combined HTML
+    return html_table + explanation
+
+# Create a Gradio interface
+demo = gr.Interface(
+    fn=classify_with_rule,                        # function to call
+    inputs=[
+        gr.Textbox(label="Define Rule (comma-separated positive words)", lines=1),
+        gr.Textbox(label="Statement to Classify", lines=2)
+    ],
+    outputs=gr.HTML(label="Classification History"),
+    title="Traditional Rule-Based AI Demo",
+    description=(
+        "1) In the first box, type comma-separated words you consider 'positive'.\n"
+        "2) In the second box, type a statement to classify.\n"
+        "Click 'Submit' to see how the statement is labeled.\n\n"
+        "You'll see a growing table of all statements you've classified so far."
+    )
+)
+
+# Launch the Gradio app
+demo.launch()