Update app.py
Browse files
app.py
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@@ -29,22 +29,21 @@ def verify_token(auth: str):
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# Function to load model and tokenizer
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def load_model():
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# Load tokenizer from the specified path
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model_path = "./Ai-Text-Detector/model"
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tokenizer = GPT2TokenizerFast.from_pretrained(model_path)
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# Load the GPT-2 model (without loading weights initially)
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model = GPT2LMHeadModel.from_pretrained("gpt2", config=model_path)
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# Load the custom weights from the local .pth file
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weights_path = "./Ai-Text-Detector/model_weights.pth"
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model.load_state_dict(torch.load(weights_path, map_location=torch.device("cpu")))
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# Set the model to evaluation mode
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model.eval()
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return model, tokenizer
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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# Function to load model and tokenizer
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def load_model():
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model_path = "./Ai-Text-Detector/model"
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weights_path = "./Ai-Text-Detector/model_weights.pth"
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# Load tokenizer and config from your custom model path
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tokenizer = GPT2TokenizerFast.from_pretrained(model_path)
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config = GPT2Config.from_pretrained(model_path)
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# Initialize model from config (don't load any weights from Hugging Face)
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model = GPT2LMHeadModel(config)
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# Load your saved PyTorch weights
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model.load_state_dict(torch.load(weights_path, map_location=torch.device("cpu")))
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model.eval() # Set to evaluation mode
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return model, tokenizer
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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