Update app.py

app.py

@@ -1,34 +1,15 @@
 from huggingface_hub import from_pretrained_keras
 import gradio as gr
-import json
-
-# Set the path to the directory containing the model files
-model_directory = "Bajiyo/Malayalam_transliteration"
-
-# Set the paths to the tokenizer configuration files
-source_tokenizer_config_path = f"{model_directory}/source_tokenizer_config.json"
-target_tokenizer_config_path = f"{model_directory}/target_tokenizer_config.json"
-
-# Load tokenizer configurations
-with open(source_tokenizer_config_path, "r") as source_config_file:
-    source_tokenizer_config = json.load(source_config_file)
-
-with open(target_tokenizer_config_path, "r") as target_config_file:
-    target_tokenizer_config = json.load(target_config_file)
 
 # Load the model from Hugging Face
 model = from_pretrained_keras("Bajiyo/Malayalam_transliteration")
 
 def transliterate(input_text):
-    # Tokenize the input text using the loaded tokenizer configurations
-    # (Assuming you have functions to tokenize input_text using source_tokenizer_config and target_tokenizer_config)
-    inputs = tokenize_input(input_text, source_tokenizer_config)
-    
-    # Make predictions using the model
-    predictions = model.predict(inputs)
+    # Make predictions using the model directly
+    predictions = model.predict(input_text)
     
     # Post-process the predictions if needed
-    output_text = post_process_predictions(predictions, target_tokenizer_config)
+    output_text = post_process_predictions(predictions)
     
     return output_text