sciencce

app.py

@@ -9,7 +9,7 @@ load_dotenv()
 groq_api_key = os.environ.get("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")
 
 # Initialize the Hugging Face model
-huggingface_model_name = "s0uL141/Cyber_gemma2_2B_it"  # Your Hugging Face model name
+huggingface_model_name = "s0uL141/fine_tuned_science_gemma2b-it"  # Your Hugging Face model name
 tokenizer = AutoTokenizer.from_pretrained(huggingface_model_name)
 huggingface_model = AutoModelForCausalLM.from_pretrained(huggingface_model_name)