app.py

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",
    css="footer{display:none !important}",
    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()