created app

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+import torch
+
+# Load model and tokenizer
+model_name = "prithivida/grammar_error_correcter_v1"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+def correct_grammar(input_text):
+    inputs = tokenizer.encode("gec: " + input_text, return_tensors="pt", max_length=128, truncation=True)
+    outputs = model.generate(inputs, max_length=128, num_beams=5, early_stopping=True)
+    corrected = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return corrected
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=correct_grammar,
+    inputs=gr.Textbox(lines=4, placeholder="Enter your sentence..."),
+    outputs="text",
+    title="Grammar Correction Tool",
+    description="Enter text with errors. The model will return a grammatically corrected version."
+)
+
+iface.launch()