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| import json | |
| import logging | |
| from datetime import datetime, timezone | |
| from logging.handlers import RotatingFileHandler | |
| from pathlib import Path | |
| import gradio as gr | |
| from text_tools import ( | |
| analyze_sentiment, | |
| analyze_text, | |
| check_reading_level, | |
| detect_language, | |
| extract_keywords, | |
| readability_advice, | |
| spell_check, | |
| summarize_text, | |
| ) | |
| LOG_DIR = Path("logs") | |
| LOG_FILE = LOG_DIR / "mcp.log" | |
| def _utc_now_iso() -> str: | |
| return datetime.now(timezone.utc).isoformat() | |
| class JsonLineFormatter(logging.Formatter): | |
| def format(self, record): | |
| message = record.getMessage() | |
| try: | |
| payload = json.loads(message) | |
| payload["level"] = record.levelname | |
| payload["logger"] = record.name | |
| return json.dumps(payload, ensure_ascii=False) | |
| except json.JSONDecodeError: | |
| return json.dumps({ | |
| "timestamp": _utc_now_iso(), | |
| "level": record.levelname, | |
| "logger": record.name, | |
| "message": message, | |
| }, ensure_ascii=False) | |
| def _configure_logging() -> None: | |
| LOG_DIR.mkdir(parents=True, exist_ok=True) | |
| root_logger = logging.getLogger() | |
| root_logger.setLevel(logging.INFO) | |
| text_formatter = logging.Formatter("%(asctime)s %(levelname)s %(name)s %(message)s") | |
| stream_handler = logging.StreamHandler() | |
| stream_handler.setFormatter(text_formatter) | |
| root_logger.addHandler(stream_handler) | |
| file_handler = RotatingFileHandler(LOG_FILE, maxBytes=1_000_000, backupCount=3) | |
| file_handler.setFormatter(JsonLineFormatter()) | |
| root_logger.addHandler(file_handler) | |
| with gr.Blocks(title="Text Processor") as demo: | |
| gr.Markdown("# Text Processing Tools") | |
| gr.Markdown( | |
| "Analyze text statistics, extract keywords, check reading difficulty, " | |
| "detect sentiment, identify language, summarize text, check spelling, " | |
| "and suggest readability improvements." | |
| ) | |
| with gr.Tab("Analyze Text"): | |
| text_input1 = gr.Textbox(label="Enter text", lines=8, placeholder="Paste your text here...") | |
| analysis_output = gr.Textbox(label="Analysis Results", lines=8) | |
| gr.Button("Analyze", size="lg").click(analyze_text, text_input1, analysis_output) | |
| with gr.Tab("Extract Keywords"): | |
| text_input2 = gr.Textbox(label="Enter text", lines=8) | |
| count_input = gr.Slider(1, 20, value=5, step=1, label="Number of keywords") | |
| keywords_output = gr.Textbox(label="Keywords", lines=8) | |
| gr.Button("Extract", size="lg").click(extract_keywords, [text_input2, count_input], keywords_output) | |
| with gr.Tab("Reading Level"): | |
| text_input3 = gr.Textbox(label="Enter text", lines=8) | |
| level_output = gr.Textbox(label="Reading Level Analysis", lines=5) | |
| gr.Button("Check Level", size="lg").click(check_reading_level, text_input3, level_output) | |
| with gr.Tab("Sentiment"): | |
| text_input4 = gr.Textbox(label="Enter text", lines=8) | |
| sentiment_output = gr.Textbox(label="Sentiment Analysis", lines=6) | |
| gr.Button("Analyze Sentiment", size="lg").click(analyze_sentiment, text_input4, sentiment_output) | |
| with gr.Tab("Language"): | |
| text_input5 = gr.Textbox(label="Enter text", lines=8) | |
| language_output = gr.Textbox(label="Language Detection", lines=8) | |
| gr.Button("Detect Language", size="lg").click(detect_language, text_input5, language_output) | |
| with gr.Tab("Summary"): | |
| text_input6 = gr.Textbox(label="Enter text", lines=8) | |
| summary_output = gr.Textbox(label="Summary", lines=8) | |
| gr.Button("Summarize", size="lg").click(summarize_text, text_input6, summary_output) | |
| with gr.Tab("Spell Check"): | |
| text_input7 = gr.Textbox(label="Enter text", lines=8) | |
| spell_output = gr.Textbox(label="Spelling Analysis", lines=10) | |
| gr.Button("Check Spelling", size="lg").click(spell_check, text_input7, spell_output) | |
| with gr.Tab("Readability Tips"): | |
| text_input8 = gr.Textbox(label="Enter text", lines=8) | |
| tips_output = gr.Textbox(label="Readability Advice", lines=10) | |
| gr.Button("Get Advice", size="lg").click(readability_advice, text_input8, tips_output) | |
| if __name__ == "__main__": | |
| _configure_logging() | |
| demo.launch(mcp_server=True) | |