Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer
+
+# Load model and tokenizer
+model_name = "peterkros/immunization-classification-model"
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Define the pipeline
+classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
+
+def classify_text(text):
+    # Get predictions
+    predictions = classifier(text)
+    return predictions
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=classify_text,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs=gr.outputs.JSON(),
+    title="Text Classification with DistilBERT",
+    description="Enter text to classify it using a DistilBERT model trained for text classification."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()