Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load your fine-tuned model (ensure it's available in your Hugging Face model repository)
+corrector = pipeline("text2text-generation", model="Pisethan/spelling-finetuned-model")
+
+# Define the function for prediction
+def correct_spelling(text):
+    result = corrector(text)[0]["generated_text"]
+    return result
+
+# Create a Gradio interface
+interface = gr.Interface(fn=correct_spelling, inputs="text", outputs="text", 
+                         title="Khmer Spelling Correction",
+                         description="Enter Khmer text to correct spelling errors.")
+
+# Launch the interface
+interface.launch()