Create app.py

app.py

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+import streamlit as st
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+import torch
+
+# Load pre-trained model and tokenizer (Grammar correction model)
+@st.cache_resource
+def load_model():
+    model_name = "prithivida/grammar_error_correcter_v1"
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+    return tokenizer, model
+
+tokenizer, model = load_model()
+
+# Function to correct grammar
+def correct_grammar(text):
+    input_text = "gec: " + text
+    inputs = tokenizer.encode(input_text, return_tensors="pt", truncation=True)
+    outputs = model.generate(inputs, max_length=512, num_beams=4, early_stopping=True)
+    corrected_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return corrected_text
+
+# Streamlit UI
+st.title("📝 Grammar Correction App")
+st.write("Enter a sentence or paragraph below, and the AI will correct any grammatical errors.")
+
+user_input = st.text_area("Your Text", height=200, placeholder="Type or paste your text here...")
+
+if st.button("Correct Grammar"):
+    if user_input.strip():
+        with st.spinner("Correcting grammar..."):
+            corrected = correct_grammar(user_input)
+        st.subheader("✅ Corrected Text")
+        st.success(corrected)
+    else:
+        st.warning("Please enter some text to correct.")