Update app.py

app.py

@@ -8,12 +8,21 @@ from transformers import pipeline
 model_name = "dolphin-phi"
 
 # Load the chosen LLM model
-llm = pipeline("text-generation", model="cognitivecomputations/dolphin-phi-2-kensho")
+llm = pipeline("text-generation", model="TheBloke/dolphin-2_6-phi-2-GGUF")
 
 #Vectara config:
 # customer_id =
 # corpus_id = 
 # api_key = 
+
+# Brought from Vectara example from Tonic. Global variables to hold component references
+components = {}
+dotenv.load_dotenv()
+seamless_client = Client("TheBloke/dolphin-2_6-phi-2-GGUF")
+HuggingFace_Token = os.getenv("HuggingFace_Token")
+hf_token = os.getenv("HuggingFace_Token")
+base_model_id = os.getenv('BASE_MODEL_ID', 'default_base_model_id')
+model_directory = os.getenv('MODEL_DIRECTORY', 'default_model_directory')
 import requests
 
 # DSPy-based prompt generation