Update app.py

app.py

@@ -33,8 +33,8 @@ def save_json(last_state: dict, pos_or_neg: str) -> None:
 ### /FEEDBACKS
 
 # Initialize the model
-model = AutoModelForCausalLM.from_pretrained("Detsutut/Igea-1B-instruct-v0.3-test4epochs-GGUF", model_file="unsloth.Q4_K_M.gguf", model_type="mistral", hf=True)
-tokenizer = AutoTokenizer.from_pretrained( "Detsutut/Igea-1B-instruct-v0.3-test4epochs")
+model = AutoModelForCausalLM.from_pretrained("bmi-labmedinfo/Igea-1B-instruct-GGUF", model_file="unsloth.Q4_K_M.gguf", model_type="mistral", hf=True)
+tokenizer = AutoTokenizer.from_pretrained( "bmi-labmedinfo/Igea-1B-instruct")
 
 gen_pipeline = pipeline(
     "text-generation",