Create app.py

app.py

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+import gradio as gr
+from fastai.text.all import *  # Or import specific modules as needed
+
+# Load the exported model
+learn = load_learner('riasec-classifier.pkl')  # Path to your .pkl file
+
+# Define a prediction function
+def classify_text(text):
+    pred, idx, probs = learn.predict(text)
+    return {learn.dls.vocab[1][i]: float(probs[i]) for i in range(len(probs))}
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=classify_text,
+    inputs=gr.Textbox(label="Enter job description"),
+    outputs=gr.Label(num_top_classes=3, label="Prediction"),  # Adjust num_top_classes as needed
+    title="RIASEC Predictor",
+    description="Predict the top 3 RIASEC attributes from a job description."
+)
+
+# Launch the app (run this in your script)
+interface.launch()