Load Keras model and tokenizer from Hugging Face Hub in FastAPI application

app.py

@@ -6,13 +6,17 @@ import tensorflow as tf
 import joblib
 import numpy as np
 from huggingface_hub import hf_hub_download
-import tensorflow as tf
-import joblib
 
 # Load the model and tokenizer from Hugging Face Hub
 model_path = hf_hub_download(repo_id="rio3210/amharic-hate-speech-using-rnn-bidirectional", filename="amharic_hate_speech_rnn_model.keras")
 tokenizer_path = hf_hub_download(repo_id="rio3210/amharic-hate-speech-using-rnn-bidirectional", filename="tokenizer.joblib")
 
+# Load the Keras model
+keras_model = tf.keras.models.load_model(model_path)
+
+# Load the tokenizer
+tokenizer = joblib.load(tokenizer_path)
+
 # Define the FastAPI application
 app = FastAPI()