Update app.py

app.py

@@ -5,9 +5,9 @@ from transformers import GPT2LMHeadModel, GPT2Tokenizer
 app = Flask(__name__)
 
 # Load the LSTM-based language model
-model_path = "your_model.pth"  # Replace with your model path
-tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
-model = GPT2LMHeadModel.from_pretrained("gpt2")
+model_path = "gpt3_mini_quantized_2x_16bits.pth"
+tokenizer = GPT2Tokenizer.from_pretrained("Deniskin/gpt3_medium")
+model = GPT2LMHeadModel.from_pretrained("Deniskin/gpt3_medium")
 model.load_state_dict(torch.load(model_path))
 
 # Set the model to evaluation mode