fix: constant variables

app/utils/constants.py

@@ -1,26 +1,5 @@
-# Define Model flow based on Selection
+GEN_AI_MODEL_REPO = "TheBloke/Llama-2-13B-chat-GGUF"
+GEN_AI_MODEL_FILENAME = "llama-2-13b-chat.Q5_0.gguf"
+ENGINE_NAME = "llama-2-13b-chat"
 
-def get_model_variables(model_name):
-    if model_name == "llama-2-13b-chat":
-        ENGINE_NAME = "llama-2-13b-chat"
-        GEN_AI_MODEL_REPO = "TheBloke/Llama-2-13B-chat-GGUF"
-        GEN_AI_MODEL_FILENAME = "llama-2-13b-chat.Q5_0.gguf"
-        EMBEDDING_MODEL_REPO = "sentence-transformers/all-mpnet-base-v2"
-    elif model_name == "llama-2-70b-chat":
-        # Set the variables for the llama-2-70b-chat model
-        ENGINE_NAME = "llama-2-70b-chat"
-        GEN_AI_MODEL_REPO = "TheBloke/Llama-2-70B-chat-GGUF"  # Replace with actual repo
-        GEN_AI_MODEL_FILENAME = "llama-2-70b-chat.Q5_0.gguf"  # Replace with actual filename
-        EMBEDDING_MODEL_REPO = "sentence-transformers/all-mpnet-base-v2"  # Replace with actual repo
-    elif model_name == "llama-2-7b-chat":
-        # Set the variables for the llama-2-7b-chat model
-        ENGINE_NAME = "llama-2-7b-chat"
-        GEN_AI_MODEL_REPO = "TheBloke/Llama-2-7B-chat-GGUF"  # Replace with actual repo
-        GEN_AI_MODEL_FILENAME = "llama-2-7b-chat.Q5_0.gguf"  # Replace with actual filename
-        EMBEDDING_MODEL_REPO = "sentence-transformers/all-mpnet-base-v2"  # Replace with actual repo
-    else:
-        raise ValueError(f"Unsupported model: {model_name}")
-
-    return ENGINE_NAME, GEN_AI_MODEL_REPO, GEN_AI_MODEL_FILENAME, EMBEDDING_MODEL_REPO
-# Usage
-ENGINE_NAME, GEN_AI_MODEL_REPO, GEN_AI_MODEL_FILENAME, EMBEDDING_MODEL_REPO = get_model_variables("llama-2-13b-chat")
+EMBEDDING_MODEL_REPO = "sentence-transformers/all-mpnet-base-v2"