Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+# Load the model and tokenizer from Hugging Face model hub
+model = AutoModelForSequenceClassification.from_pretrained("willco-afk/my-model-name")
+tokenizer = AutoTokenizer.from_pretrained("willco-afk/my-model-name")
+
+# Define the function for prediction
+def predict(text):
+    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+    outputs = model(**inputs)
+    logits = outputs.logits
+    prediction = logits.argmax(-1).item()
+    return prediction
+
+# Create a Gradio interface
+interface = gr.Interface(fn=predict, inputs="text", outputs="text")
+interface.launch()