Create app.py

app.py

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+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! 🎉")