Update app.py

app.py

@@ -8,17 +8,19 @@ model_name = "TuringsSolutions/TechLegalV1"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
 # Load adapter configuration manually
-adapter_config_path = "https://huggingface.co/TuringsSolutions/TechLegalV1/resolve/main/adapter_config.json"
-adapter_model_path = "https://huggingface.co/TuringsSolutions/TechLegalV1/resolve/main/adapter_model.safetensors"
+adapter_config_url = "https://huggingface.co/TuringsSolutions/TechLegalV1/resolve/main/adapter_config.json"
+adapter_model_url = "https://huggingface.co/TuringsSolutions/TechLegalV1/resolve/main/adapter_model.safetensors"
 
-with open(adapter_config_path, 'r') as f:
+# Download and load the adapter configuration
+adapter_config = torch.hub.download_url_to_file(adapter_config_url, 'adapter_config.json')
+with open(adapter_config, 'r') as f:
     adapter_config = json.load(f)
 
 # Initialize the model with the adapter configuration
 model = AutoModel.from_pretrained(model_name, trust_remote_code=True)
 
 # Load adapter weights
-model.load_adapter(adapter_model_path, config=adapter_config)
+model.load_adapter(adapter_model_url, config=adapter_config)
 
 # Function to make predictions
 def predict(text):