Update app.py

app.py

@@ -4,15 +4,9 @@ import gradio as gr
 from peft import PeftModel, PeftConfig
 from transformers import AutoModelForCausalLM, AutoTokenizer ,pipeline, BitsAndBytesConfig
 
-bnb_config = BitsAndBytesConfig(
-    load_in_4bit=True,
-    bnb_4bit_quant_type="nf4",
-    bnb_4bit_compute_dtype=torch.float16,
-)
-
-config = PeftConfig.from_pretrained("ShishuTripathi/entity_coder")
-model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16", quantization_config=bnb_config,trust_remote_code=True)
-model = PeftModel.from_pretrained(model, "ShishuTripathi/entity_coder")
+#config = PeftConfig.from_pretrained("ShishuTripathi/entity_coder")
+#model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16",trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("ShishuTripathi/entity_coder")
 tokenizer = AutoTokenizer.from_pretrained("ShishuTripathi/entity_coder")
 generator = pipeline('text-generation' , model = model, tokenizer =tokenizer, max_length = 50)