Create app.py

app.py

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+# Import libraries
+from transformers import T5Tokenizer, T5ForConditionalGeneration
+import gradio as gr
+
+# Load a pre-trained T5 model specifically fine-tuned for grammar correction
+tokenizer = T5Tokenizer.from_pretrained("prithivida/grammar_error_correcter_v1")
+model = T5ForConditionalGeneration.from_pretrained("prithivida/grammar_error_correcter_v1")
+
+# Function to perform grammar correction
+def grammar_check(text):
+    input_text = f"gec: {text}"
+    input_ids = tokenizer.encode(input_text, return_tensors="pt")
+    outputs = model.generate(input_ids)
+    corrected_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return corrected_text
+
+# Create Gradio interface with a writing prompt
+interface = gr.Interface(
+    fn=grammar_check,
+    inputs="text",
+    outputs="text",
+    title="Grammar Checker",
+    description=(
+        "Enter text to check for grammar mistakes.\n\n"
+        "Writing Prompt:\n"
+        "In the story, Alex and his friends decided to donate all the treasure to the town library. "
+        "This can be a good metaphor for the idea that individuals should sacrifice for society. Some people "
+        "claim that individuals do not have to sacrifice but only think about their own happiness. To what extent "
+        "do you agree or disagree with this?\n\n"
+        "Explain your reasons with some relevant examples from your own experience and knowledge. "
+        "(At least 100 words)"
+    )
+)
+
+# Launch the interface
+interface.launch()