Update app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the model from Hugging Face Hub
+model = pipeline("text2text-generation", model="Pisethan/avirut-finetuned-model")
+
+# Define the function for the demo
+def correct_text(input_text):
+    result = model(input_text)
+    return result[0]["generated_text"]
+
+# Set up the Gradio interface
+interface = gr.Interface(
+    fn=correct_text,
+    inputs="text",
+    outputs="text",
+    title="Khmer Grammar Checker",
+    description="Corrects grammar errors in Khmer sentences."
+)
+
+# Launch the interface
+interface.launch()