Spaces:
Runtime error
Runtime error
| # import pickle | |
| import gradio as gr | |
| import numpy as np | |
| import xgboost as xgb | |
| model1=xgb.XGBRegressor() | |
| model2=xgb.XGBRegressor() | |
| model1.load_model('model1.json') | |
| model2.load_model('model2.json') | |
| def greed(Unit_of_Measure,Line_Item_Quantity,Line_Item_Value,Weight_kg,Freight_Cost,Line_Item_Insurance): | |
| input_array=np.array([[Unit_of_Measure,Line_Item_Quantity,Line_Item_Value,Weight_kg,Freight_Cost,Line_Item_Insurance]]) | |
| pred1=model1.predict(input_array) | |
| pred2=model2.predict(input_array) | |
| pred1=float(np.asarray(pred1)) | |
| pred2=float(np.asarray(pred2)) | |
| return pred1,pred2 | |
| output1=gr.outputs.Textbox(label='Pack price') | |
| output2=gr.outputs.Textbox(label='Unit price') | |
| demo = gr.Interface( | |
| fn=greed, | |
| inputs=[gr.inputs.Number(),gr.inputs.Number(),gr.inputs.Number(),gr.inputs.Number(),gr.inputs.Number(),gr.inputs.Number()], | |
| outputs=[output1,output2],description='SHIPMENT PRICING PREDICTION') | |
| demo.launch(share=True) | |