Error Handling LLMWrapper and Autoconfig

app.py

@@ -50,19 +50,6 @@ def load_llamaindex_stack(model_id: str, max_new_tokens: int, temperature: float
     # Tiny, fast sentence-transformers model for embeddings
     embed = HuggingFaceEmbedding(model_name="sentence-transformers/all-MiniLM-L6-v2")
 
-    """
-    tok = AutoTokenizer.from_pretrained(model_id)
-    mdl = AutoModelForSeq2SeqLM.from_pretrained(model_id)
-    text2text = pipeline(
-        "text2text-generation",
-        model=mdl,
-        tokenizer=tok,
-        max_new_tokens=max_new_tokens,
-        temperature=float(temperature)
-    )
-    """
-    #llm = HuggingFaceLLM(pipeline=text2text)
-
     # Wrap the same tiny HF model for LlamaIndex
     
     try:
@@ -92,8 +79,8 @@ def load_llamaindex_stack(model_id: str, max_new_tokens: int, temperature: float
     except Exception as e:
         config = None
   
-    Settings.embed_model = embed
-    Settings.llm = llm
+    #Settings.embed_model = embed
+    #Settings.llm = llm
 
     # Load small docs (data/notes.txt)
     docs = SimpleDirectoryReader(input_dirs=["data"]).load_data()