ckarnell · March 23, 2025 21:08
diff --git a/AJ sentence gen b/AJ sentence gen
 from flask import Flask
 import random
 import re
 import chardet

 app = Flask(__name__)

 def detect_encoding(filename):
    with open(filename, 'rb') as f:
        raw_data = f.read()
    result = chardet.detect(raw_data)
    return result['encoding'] or 'utf-8'

 def read_messages(filename):
    encoding = detect_encoding(filename)
    with open(filename, 'r', encoding=encoding, errors='replace') as file:
        lines = [line.strip() for line in file if len(line.strip()) > 10]
    return lines

 def build_markov_chain(lines, n=2):
    chain = {}
    for line in lines:
        words = re.findall(r"\b\w+\b|[.,!?;]", line)
        words = ['<START>'] + words + ['<END>']
        for i in range(len(words) - n):
            key = tuple(words[i:i + n])
            next_word = words[i + n]
            chain.setdefault(key, []).append(next_word)
    return chain

 def generate_sentence(chain, n=2, max_words=50):
    current = random.choice([key for key in chain.keys() if key[0] == '<START>'])
    sentence = list(current[1:])

    for _ in range(max_words):
        next_words = chain.get(current)
        if not next_words:
            break
        next_word = random.choice(next_words)
        if next_word == '<END>':
            break
        sentence.append(next_word)
        current = (*current[1:], next_word)

    result = ' '.join(sentence)
    result = re.sub(r'\s([?.!;,])', r'\1', result)
    return result[0].upper() + result[1:]

 # Preload the model
 FILE_PATH = "kp_centi_twitch_logs.txt"
 messages = read_messages(FILE_PATH)
 markov_chain = build_markov_chain(messages, n=4)

 @app.route("/")
 def serve_quote():
    sentence = generate_sentence(markov_chain, n=4)
    sentence = sentence.replace("Deleted by poostew", "(Deleted by poostew)")
    sentence = sentence.replace("didn t", "didn't")
    sentence = sentence.replace("it s", "it's")
    sentence = sentence.replace("There s ", "There's ")
    sentence = sentence.replace("I m ", "I'm ")
    return f"""
    <html>
        <head>
            <title>Generated AJ Sentence</title>
            <style>
                body {{
                    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
                    background-color: #f9f9f9;
                    color: #333;
                    text-align: center;
                    padding: 80px 20px;
                    margin: 0;
                }}
                h1 {{
                    font-size: 4.5em;
                    margin-bottom: 30px;
                    color: #222;
                }}
                .sentence {{
                    font-size: 2.8em;
                    font-weight: 500;
                    margin-bottom: 20px;
                }}
                .refresh {{
                    font-size: 1.1em;
                    color: #666;
                }}
            </style>
        </head>
        <body>
            <h1>Generated AJ Sentence</h1>
            <div class="sentence">kp_centi: {sentence}</div>
            <div class="refresh">Refresh the page for a new one.</div>
        </body>
    </html>
    """


 if __name__ == "__main__":
    app.run(host="0.0.0.0", port=5055, debug=True)
    # app.run(host="127.0.0.1", port=5000, debug=True)
	from flask import Flask
	import random
	import re
	import chardet

	app = Flask(__name__)

	def detect_encoding(filename):
	with open(filename, 'rb') as f:
	raw_data = f.read()
	result = chardet.detect(raw_data)
	return result['encoding'] or 'utf-8'

	def read_messages(filename):
	encoding = detect_encoding(filename)
	with open(filename, 'r', encoding=encoding, errors='replace') as file:
	lines = [line.strip() for line in file if len(line.strip()) > 10]
	return lines

	def build_markov_chain(lines, n=2):
	chain = {}
	for line in lines:
	words = re.findall(r"\b\w+\b\|[.,!?;]", line)
	words = ['<START>'] + words + ['<END>']
	for i in range(len(words) - n):
	key = tuple(words[i:i + n])
	next_word = words[i + n]
	chain.setdefault(key, []).append(next_word)
	return chain

	def generate_sentence(chain, n=2, max_words=50):
	current = random.choice([key for key in chain.keys() if key[0] == '<START>'])
	sentence = list(current[1:])

	for _ in range(max_words):
	next_words = chain.get(current)
	if not next_words:
	break
	next_word = random.choice(next_words)
	if next_word == '<END>':
	break
	sentence.append(next_word)
	current = (*current[1:], next_word)

	result = ' '.join(sentence)
	result = re.sub(r'\s([?.!;,])', r'\1', result)
	return result[0].upper() + result[1:]

	# Preload the model
	FILE_PATH = "kp_centi_twitch_logs.txt"
	messages = read_messages(FILE_PATH)
	markov_chain = build_markov_chain(messages, n=4)

	@app.route("/")
	def serve_quote():
	sentence = generate_sentence(markov_chain, n=4)
	sentence = sentence.replace("Deleted by poostew", "(Deleted by poostew)")
	sentence = sentence.replace("didn t", "didn't")
	sentence = sentence.replace("it s", "it's")
	sentence = sentence.replace("There s ", "There's ")
	sentence = sentence.replace("I m ", "I'm ")
	return f"""
	<html>
	<head>
	<title>Generated AJ Sentence</title>
	<style>
	body {{
	font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
	background-color: #f9f9f9;
	color: #333;
	text-align: center;
	padding: 80px 20px;
	margin: 0;
	}}
	h1 {{
	font-size: 4.5em;
	margin-bottom: 30px;
	color: #222;
	}}
	.sentence {{
	font-size: 2.8em;
	font-weight: 500;
	margin-bottom: 20px;
	}}
	.refresh {{
	font-size: 1.1em;
	color: #666;
	}}
	</style>
	</head>
	<body>
	<h1>Generated AJ Sentence</h1>
	<div class="sentence">kp_centi: {sentence}</div>
	<div class="refresh">Refresh the page for a new one.</div>
	</body>
	</html>
	"""


	if __name__ == "__main__":
	app.run(host="0.0.0.0", port=5055, debug=True)
	# app.run(host="127.0.0.1", port=5000, debug=True)