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app.py

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+import streamlit as st
+from transformers import pipeline
+
+st.set_page_config(page_title="AI Grammar Assistant", page_icon="📝")
+
+st.title("📝 AI Grammar Assistant")
+st.write("Enter your text below and get instant grammar corrections!")
+
+# Load Hugging Face model
+@st.cache_resource
+def load_model():
+    return pipeline("text2text-generation", model="vennify/t5-base-grammar-correction")
+
+corrector = load_model()
+
+user_input = st.text_area("Your text", height=200)
+
+if st.button("Correct Grammar"):
+    if user_input.strip() == "":
+        st.warning("⚠️ Please enter some text to correct.")
+    else:
+        with st.spinner("Correcting grammar..."):
+            try:
+                result = corrector(user_input, max_length=128)[0]['generated_text']
+                st.success("✅ Corrected Text:")
+                st.write(result)
+            except Exception as e:
+                st.error(f"Something went wrong: {e}")
+
+st.markdown("---")
+st.markdown("Made by [Wanshika Patro](https://github.com/wanshika)")

requirements.txt

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+streamlit
+transformers
+torch