Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+classifier = pipeline("text_classification", model="Prakhar618/Gptdetect")
+
+
+def predict(text):
+    # Convert test dataframe to Hugging Face dataset
+    test_dataset = Dataset.from_pandas(text)
+
+    # Apply the tokenization function to the train dataset
+    train_dataset = test_dataset.map(tokenize_function, batched=True,)
+    predictions, label_probs, _ = trainer.predict(train_dataset1)
+    y_pred = np.argmax(predictions, axis=1)
+    return y_pred
+
+iface = gr.Interface(fn=predict, inputs="text", outputs="text")
+iface.launch()