Update app.py

app.py

@@ -27,9 +27,16 @@ from langchain_core.output_parsers import StrOutputParser
 from langchain_core.runnables import RunnablePassthrough
 
 from transformers import AutoTokenizer, AutoModelForCausalLM
-tokenizer = AutoTokenizer.from_pretrained("mohamedalcafory/PubMed_Llama3.1_Based_model")
-model = AutoModelForCausalLM.from_pretrained("mohamedalcafory/PubMed_Llama3.1_Based_model")
-print('Model loaded successfully')
+from transformers import AutoModel, AutoTokenizer
+
+base_model_name = "unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit"  # Replace with your actual base model path
+tokenizer = AutoTokenizer.from_pretrained(base_model_name)
+model = AutoModel.from_pretrained(base_model_name)
+adapter_path = "mohamedalcafory/PubMed_Llama3.1_Based_model"  # Replace with your actual adapter path
+model.load_adapter(adapter_path)
+# tokenizer = AutoTokenizer.from_pretrained("mohamedalcafory/PubMed_Llama3.1_Based_model")
+# model = AutoModelForCausalLM.from_pretrained("mohamedalcafory/PubMed_Llama3.1_Based_model")
+print(f'Model loaded successfully: {model}')
 
 from transformers import pipeline
 from langchain_huggingface import HuggingFacePipeline