Update tr.py

tr.py

@@ -1,3 +1,4 @@
+import os
 import numpy as np
 import tensorflow as tf
 from tensorflow.keras.models import Sequential
@@ -6,6 +7,9 @@ from tensorflow.keras.preprocessing.text import Tokenizer
 from tensorflow.keras.preprocessing.sequence import pad_sequences
 from sklearn.model_selection import train_test_split
 
+# Environment variable for Hugging Face token
+sac = os.getenv('accesstoken')
+
 # Sample data for sentiment analysis
 texts = ["I love deep learning!", "I hate Mondays.", "This movie is fantastic.", "The weather is terrible."]
 labels = np.array([1, 0, 1, 0])  # 1 for positive sentiment, 0 for negative sentiment
@@ -48,3 +52,11 @@ sequences = tokenizer.texts_to_sequences(new_texts)
 padded_sequences = pad_sequences(sequences, maxlen=10, padding='post', truncating='post')
 predictions = loaded_model.predict(padded_sequences)
 print(predictions)
+
+push_to_hub_keras(
+    model,
+    repo_name="okeowo1014/kerascatanddog",
+    model_id="my_custom_text_classifier",
+    commit_message="Initial commit",
+    token=sac
+)