Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+import re
+
+st.set_page_config(page_title="Grammar Agent - Grammarly Alternative", layout="wide")
+st.title("📝 Grammar Agent - English Text Corrector")
+
+# Load grammar correction model
+@st.cache_resource
+def load_model():
+    return pipeline("text2text-generation", model="vennify/t5-base-grammar-correction")
+
+grammar_corrector = load_model()
+
+# Utility functions
+def capitalize_sentences(text):
+    sentences = re.split(r'(?<=[.!?]) +', text)
+    return ' '.join(s[0].upper() + s[1:] if s else '' for s in sentences)
+
+def correct_text(text):
+    corrected = grammar_corrector(text, max_length=512)[0]['generated_text']
+    corrected = capitalize_sentences(corrected)
+    return corrected
+
+def word_by_word_diff(original, corrected):
+    original_words = original.split()
+    corrected_words = corrected.split()
+    diffs = []
+    for i in range(min(len(original_words), len(corrected_words))):
+        if original_words[i] != corrected_words[i]:
+            diffs.append((original_words[i], corrected_words[i]))
+    if len(original_words) != len(corrected_words):
+        extra = corrected_words[len(original_words):]
+        for word in extra:
+            diffs.append(("", word))
+    return diffs
+
+def analyze_differences(original, corrected):
+    diffs = word_by_word_diff(original, corrected)
+    analysis = []
+    for orig, corr in diffs:
+        reason = "Grammar, Spelling or Punctuation correction"
+        if orig == "":
+            reason = "Missing word"
+        elif orig.lower() != corr.lower():
+            if orig.lower() == corr:
+                reason = "Capitalization"
+            elif re.sub(r'[.,!?;]', '', orig.lower()) == re.sub(r'[.,!?;]', '', corr.lower()):
+                reason = "Punctuation"
+            elif len(orig) <= 3 or len(corr) <= 3:
+                reason = "Spelling"
+        analysis.append({
+            "Original": orig,
+            "Correction": corr,
+            "Reason": reason
+        })
+    return analysis
+
+# Input Area
+input_text = st.text_area("Enter your sentence, paragraph, or essay:", height=250)
+
+if st.button("Correct and Analyze") and input_text:
+    with st.spinner("Analyzing and correcting text..."):
+        corrected = correct_text(input_text)
+        analysis = analyze_differences(input_text, corrected)
+
+    st.subheader("✅ Corrected Text:")
+    st.success(corrected)
+
+    st.subheader("📊 Error Analysis:")
+    if analysis:
+        for item in analysis:
+            st.markdown(f"**Original:** `{item['Original']}` → **Correction:** `{item['Correction']}`")
+            st.markdown(f"_Reason_: {item['Reason']}")
+            st.markdown("---")
+    else:
+        st.write("No major corrections found. Great job!")
+
+    st.subheader("📃 Side-by-Side Comparison")
+    st.columns(2)[0].markdown(f"**Original:**\n\n{input_text}")
+    st.columns(2)[1].markdown(f"**Corrected:**\n\n{corrected}")
+else:
+    st.info("Enter text above and click 'Correct and Analyze' to begin.")