Update app.py

app.py

@@ -1,13 +1,3 @@
-import zipfile
-import sys
-import os
-
-#sys.path.append('https://huggingface.co/spaces/PradeepJha/ISCO-code-predictor-api/resolve/main/models.zip')
-
-# Check current directory and list files 
-print("Current Directory:", os.getcwd())
-print("Files in Directory:", os.listdir())
-
 import numpy as np
 import tensorflow as tf
 import tensorflow_hub as hub
@@ -18,14 +8,8 @@ import classifier_data_lib
 import tokenization
 import joblib
 from deep_translator import GoogleTranslator
-
-print("NumPy Version:", np.__version__)
-print("TensorFlow Version:", tf.__version__)
-print("TensorFlow Hub Version:", hub.__version__)
-print("Keras (via TensorFlow) Version:", keras.__version__)
-print("Pandas Version:", pd.__version__)
-print("Joblib Version:", joblib.__version__)
-
+import sys
+import os
 import gradio as gr
 
 model = load_model('ISCO-Coder-BERT.h5', custom_objects={'KerasLayer': hub.KerasLayer})
@@ -103,7 +87,9 @@ def launch(text_input):
 
     print("Most likely ISCO code is {} and probability is {}".format(decoded_labels,highest_probabilities))
 
-    return [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])
+    print(result_text)
 
 
 iface = gr.Interface(