| import gradio as gr |
| import json |
|
|
| def analyze_text(text: str) -> str: |
| """Analyze text and return statistics. |
| |
| Args: |
| text: The input text to analyze |
| |
| Returns: |
| JSON string with analysis results |
| """ |
| words = text.split() |
| chars = len(text) |
| chars_no_spaces = len(text.replace(" ", "")) |
| sentences = text.count(".") + text.count("!") + text.count("?") |
| |
| avg_word_length = round(chars_no_spaces / len(words), 2) if words else 0 |
| avg_sentence_length = round(len(words) / max(sentences, 1), 2) |
| |
| return json.dumps({ |
| "total_characters": chars, |
| "characters_without_spaces": chars_no_spaces, |
| "total_words": len(words), |
| "total_sentences": max(sentences, 1), |
| "average_word_length": avg_word_length, |
| "average_sentence_length": avg_sentence_length |
| }, indent=2) |
|
|
| def extract_keywords(text: str, count: int = 5) -> str: |
| """Extract keywords (most common words) from text. |
| |
| Args: |
| text: The input text |
| count: Number of keywords to return (default 5) |
| |
| Returns: |
| JSON string with keywords and frequencies |
| """ |
| stopwords = { |
| "the", "a", "an", "and", "or", "but", "in", "on", "at", "to", "for", |
| "of", "with", "is", "are", "was", "were", "be", "been", "by", "from" |
| } |
| |
| words = text.lower().split() |
| filtered = [w.strip(".,!?;:") for w in words if w.lower() not in stopwords] |
| |
| from collections import Counter |
| word_freq = Counter(filtered) |
| top_words = word_freq.most_common(count) |
| |
| return json.dumps({ |
| "keywords": [{"word": w, "frequency": f} for w, f in top_words] |
| }, indent=2) |
|
|
| def check_reading_level(text: str) -> str: |
| """Estimate reading difficulty level. |
| |
| Args: |
| text: The input text |
| |
| Returns: |
| JSON string with reading level estimate |
| """ |
| sentences = max(text.count(".") + text.count("!") + text.count("?"), 1) |
| words = len(text.split()) |
| vowels = "aeiou" |
| syllables = sum(1 for c in text.lower() if c in vowels) |
| |
| if words == 0: |
| return json.dumps({"error": "No text to analyze"}) |
| |
| grade = max(0, (0.39 * (words / sentences)) + (11.8 * (syllables / words)) - 15.59) |
| |
| if grade < 6: |
| level = "Elementary School" |
| elif grade < 9: |
| level = "Middle School" |
| elif grade < 13: |
| level = "High School" |
| else: |
| level = "College/Academic" |
| |
| return json.dumps({ |
| "grade_level": round(grade, 1), |
| "reading_level": level |
| }, indent=2) |
|
|
| |
| with gr.Blocks(title="Text Processor") as demo: |
| gr.Markdown("# Text Processing Tools") |
| gr.Markdown("Analyze text statistics, extract keywords, and check reading difficulty.") |
| |
| 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) |
|
|
| if __name__ == "__main__": |
| demo.launch(mcp_server=True) |
