Create app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
+model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased", num_labels=2)
+
+def classify_text(text):
+    encoded_text = tokenizer(text, truncation=True, padding='max_length', max_length=512, return_tensors='pt')
+    predictions = model(**encoded_text)
+    predicted_label = predictions.logits.argmax(-1).item()
+    predicted_class = model.config.id2label[predicted_label]
+
+    return predicted_class
+interface = gr.Interface(
+    fn=classify_text,
+    inputs=[gr.Textbox(label="Input Text")],
+    outputs=[gr.Textbox(label="Predicted Class")],
+    title="Text Classification App"
+)
+interface.launch(share=True)