new update

app.py

@@ -5,7 +5,7 @@ from huggingface_hub import hf_hub_download
 import os
 from tensorflow.keras.models import load_model
 
-def load_model():
+def load_model_test_steps():
     repo_id = 'Preethamreddy799/NLP_MODEL'
     filename = 'model_test_steps.h5'  # Assuming the model is in HDF5 format
 
@@ -18,7 +18,7 @@ def load_model():
     print(f"Model loaded successfully from {cached_model_path}")
     return model
 
-model = load_model()
+model = load_model_test_steps()
 
 # Function to generate predictions
 def generate_test_steps(acceptance_criteria, test_data):