Create app.py

app.py

@@ -0,0 +1,24 @@
+from transformers import pipeline
+import gradio as gr
+
+models = {
+    'devngho/ko_edu_classifier_v2_lemon-mint_LaBSE-EnKo-Nano-Preview-v0.3': pipeline("text-classification", model="devngho/ko_edu_classifier_v2_lemon-mint_LaBSE-EnKo-Nano-Preview-v0.3"),
+    'devngho/ko_edu_classifier_v2_LaBSE': pipeline("text-classification", model="devngho/ko_edu_classifier_v2_LaBSE")
+}
+
+import gradio as gr
+
+def evaluate_model(input_text):
+    return [model(input_text) for model in models.values()]
+
+# Gradio interface
+with gr.Blocks() as demo:
+    input_text = gr.Textbox(label="Input Text")
+    submit_button = gr.Button("Evaluate")
+    output_scores = [gr.Number(f'Score by {name}') for name in models.keys()]
+    
+    # Action to perform on button click
+    submit_button.click(evaluate_model, inputs=input_text, outputs=output_scores)
+
+# Launch the app
+demo.launch()