second try

app.py

@@ -8,7 +8,7 @@ model_id = "AverageBusinessUser/aidapal"
 filename = "aidapal-8k.Q4_K_M.gguf"
 
 print("Downloading model")
-pipe = pipeline(task="text-generation", model_id, gguf_file=filename, device_map="auto")
+pipe = pipeline(task="text-generation", model=model_id, gguf_file=filename, device_map="auto")
 
 #torch_dtype = torch.float32 # could be torch.float16 or torch.bfloat16 too
 #tokenizer = AutoTokenizer.from_pretrained(model_id, gguf_file=filename)