app.py

import streamlit as st
import language_tool_python

# App title
st.title("English Writing Correction Assistant ✍️")

# Initialize LanguageTool for English
tool = language_tool_python.LanguageTool('en-US')

# Text input from user
user_text = st.text_area("Enter your text here:", height=200)

# Analyze button
if st.button("Correct and Analyze"):
    if user_text.strip() == "":
        st.warning("Please enter some text to analyze.")
    else:
        # Get grammar corrections
        matches = tool.check(user_text)
        corrected_text = language_tool_python.utils.correct(user_text, matches)

        # Display Corrected Text
        st.subheader("✅ Corrected Text:")
        st.write(corrected_text)

        # Detailed feedback on issues
        st.subheader("📝 Improvement Suggestions:")
        if matches:
            for idx, match in enumerate(matches, start=1):
                st.markdown(f"**{idx}. Issue:** {match.ruleDescription}")
                st.markdown(f"**Context:** ...{match.context}...")
                if match.replacements:
                    st.markdown(f"**Suggested Corrections:** {', '.join(match.replacements)}")
                else:
                    st.markdown("**Suggested Corrections:** None provided.")
                st.markdown("---")
        else:
            st.success("No grammatical or stylistic issues found!")

        # Learning suggestions
        st.subheader("📚 Learning Recommendations:")
        if matches:
            st.info("Consider reviewing:")
            suggestions = set(match.ruleIssueType for match in matches if match.ruleIssueType)
            for s in suggestions:
                st.markdown(f"- {s.replace('_', ' ').title()}")
        else:
            st.write("Your writing looks great! Keep it up! 🎉")