trying keras

backend.py

@@ -25,8 +25,8 @@ os.environ["KERAS_BACKEND"] = "jax"
 os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "1.00"
 
 
-os.getenv("KAGGLE_USERNAME")
-os.getenv["KAGGLE_KEY"]
+#os.getenv("KAGGLE_USERNAME")
+#os.getenv["KAGGLE_KEY"]
 
 """huggingface_token = os.getenv("HUGGINGFACE_TOKEN")
 login(huggingface_token)

interface.py

@@ -69,7 +69,7 @@ import keras_nlp
         if not streamed_response:
             yield CompletionResponse(text="No response generated.", delta="No response generated.")"""
 
-
+# for Keras
 class GemmaLLMInterface(CustomLLM):
     model: keras_nlp.models.GemmaCausalLM = None
     context_window: int = 8192