Update app.py

app.py

@@ -85,18 +85,21 @@ def launch(text_input):
     # Decode labels using the label encoder
     decoded_labels = label_encoder.inverse_transform(predicted_classes)
 
+    map_data = pd.read_excel("ISCO-08 EN Structure and definitions.xlsx")
+    isco_description = map_data[map_data['ISCO 08 Code']==decoded_labels]['Title EN']
+
     print("Most likely ISCO code is {} and probability is {}".format(decoded_labels,highest_probabilities))
 
     # Create descriptive text for the output
     #result_text = "Most likely ISCO code is {} and probability is {:.2f}".format(decoded_labels[0], highest_probabilities[0])
-    result_text = f"Predicted ISCO Code: {decoded_labels[0]}\nProbability: {highest_probabilities[0]:.2f}"
+    result_text = f"Predicted ISCO Code: {decoded_labels[0]}\nProbability: {highest_probabilities[0]:.2f}\nISCO Description:{isco_description}"
     return result_text #[decoded_labels[0], highest_probabilities[0]]
 
 
 iface = gr.Interface(
     fn=launch,
     inputs=gr.Textbox(lines=2, placeholder="Enter job title in any language (e.g., Software Engineer) and description here (e.g., Develops and maintains software applications)..."),
-    outputs=gr.Textbox(lines=2, placeholder="Predicted ISCO Code: <result> Probability: <result>")
+    outputs=gr.Textbox(lines=2, placeholder="Predicted ISCO Code: <result> Probability: <result> ISCO Description: <result>")
 )
 
 iface.launch()