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| from ModelDriver import * | |
| import numpy as np | |
| import warnings | |
| warnings.filterwarnings("ignore") | |
| Input_Text = "I want to do this data" | |
| # print("RobertaSentinelOpenGPTInference") | |
| # Probs = RobertaSentinelOpenGPTInference(Input_Text) | |
| # Pred = "Human Written" if not np.argmax(Probs) else "Machine Generated" | |
| # | |
| # print(f"Prediction: {Pred} ") | |
| # print(f"Confidence:", max(Probs)) | |
| # print("RobertaSentinelCSAbstractInference") | |
| # Probs = RobertaSentinelCSAbstractInference(Input_Text) | |
| # Pred = "Human Written" if not np.argmax(Probs) else "Machine Generated" | |
| # | |
| # print(f"Prediction: {Pred} ") | |
| # print(f"Confidence:", max(Probs)) | |
| print("RobertaClassifierCSAbstractInference") | |
| Probs = RobertaClassifierCSAbstractInference(Input_Text) | |
| Pred = "Human Written" if not np.argmax(Probs) else "Machine Generated" | |
| print(Probs) | |
| print(f"Prediction: {Pred} ") | |
| print(f"Confidence:", max(Probs)) |