Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the model from Hugging Face Hub
+model_name = "yosrissa/AITA-D-BERT-classifier"  # Replace with your Hugging Face model name
+classifier = pipeline("text-classification", model=model_name)
+
+def classify_text(input_text):
+    """
+    Classify the input text using the model.
+    """
+    results = classifier(input_text)
+    return results
+
+# Create the Gradio interface
+with gr.Blocks() as app:
+    gr.Markdown("# Text Classification App")
+    gr.Markdown("Enter text to classify:")
+    
+    input_text = gr.Textbox(label="Input Text")
+    output = gr.JSON(label="Classification Results")
+    submit_button = gr.Button("Classify")
+    
+    submit_button.click(classify_text, inputs=[input_text], outputs=[output])
+
+# Launch the app
+if __name__ == "__main__":
+    app.launch()