model hf path

app.py

@@ -7,13 +7,13 @@ import psutil
 import os
 
 # load like this - use tne variable everywhere 
-model_path=os.getenv("MODEL_PATH")
+model_hf_path=os.getenv("MODEL_HF_PATH")
 # show warning, when empty and briefs description of how to set it 
 # also add link to "how to search" with link to bloke by default + example search link + example full value (mistral base?)
 # info about ram requirements
 
 # Initing things                
-print(f"debug: init model: {model_path}")
+print(f"debug: init model: {model_hf_path}")
 #llm = Llama(model_path="./model.bin")                             # LLaMa model
 print("! INITING DONE !")
 
@@ -39,7 +39,7 @@ import spaces
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
 
-DESCRIPTION = "# Mistral-7B"
+DESCRIPTION =  f"# Test model: {model_hf_path}"
 
 if torch.cuda.is_available():
     DESCRIPTION += "\n<p>This space is using CPU only. Use a different one if you want to go fast and use GPU. </p>"