Priyanhsu/CsharpGrammarly

1from nltk.tokenize import sent_tokenize2from language_tool_python import LanguageTool3from nltk.sentiment import SentimentIntensityAnalyzer4import gradio as gr5 6# Initialize LanguageTool object outside the function7tool = LanguageTool('en-US')8sia = SentimentIntensityAnalyzer()9 10def grammar_check(text):11    matches = tool.check(text)12    corrected_sentences = tool.correct(text)13    return corrected_sentences14 15def analyze_sentiment(text):16    sentiment_scores = sia.polarity_scores(text)17 18    # Positive sentiment: score > 019    # Neutral sentiment: score = 020    # Negative sentiment: score < 021    sentiment = ""22    if sentiment_scores['compound'] > 0:23        sentiment = "Positive"24    elif sentiment_scores['compound'] == 0:25        sentiment = "Neutral"26    else:27        sentiment = "Negative"28 29    return sentiment30 31def sentence_generator(text):32    sentences = sent_tokenize(text)33    for sentence in sentences:34        yield sentence35 36def CsharpGrammarly(text):37    corrected_sentences = grammar_check(text)38    sentiment_result = analyze_sentiment(corrected_sentences)39    total_words = len(text.split())40    return corrected_sentences, sentiment_result, total_words41 42iface = gr.Interface(43    fn=CsharpGrammarly,44    inputs=gr.inputs.Textbox(placeholder="Enter your text here..."),45    outputs=[46        gr.outputs.Textbox(label="Modified Grammar"),47        gr.outputs.Textbox(label="Sentiment Analysis"),48        gr.outputs.Textbox(label="Total Words Count")49    ],50    title="CSharpGrammarly",51    description="Correct spelling, grammar, and analyze sentiment."52)53 54iface.launch()55