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soil-bulk-density-predictor
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MiguelCh commited on
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03d8e3d
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1 Parent(s): 2125012

Update app.py

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Files changed (1) hide show
  1. app.py +29 -15
app.py CHANGED
@@ -49,26 +49,40 @@ with gr.Blocks() as demo:
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  gr.Markdown("# Estimaci贸n de la densidad aparente del suelo")
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  with gr.Row():
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  with gr.Column():
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- SOC = gr.Number(label="MO (%)", value=2.9408, interactive=True)
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- eK = gr.Number(label="K (meq/100g)", value=0.47, interactive=True)
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- pH = gr.Number(label="pH (1:1)", value=7.09, interactive=True)
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- EC = gr.Number(label="C.E. (dS/m)", value=0.31, interactive=True)
 
 
 
 
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  with gr.Column():
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- Cy = gr.Number(label="Arcilla (%)", value=31.0, interactive=True)
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- eNa = gr.Number(label="Na (meq/100g)", value=0.15, interactive=True)
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- CCE = gr.Number(label="CaCO3 (%)", value=0.20, interactive=True)
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-
 
 
 
 
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  with gr.Column():
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- eCa = gr.Number(label="Ca (meq/100g)", value=19.44, interactive=True)
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- eAlH = gr.Number(label="Al + H (meq/100g)", value=0.0, interactive=True)
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- Si = gr.Number(label="Limo (%)", value=24.0, interactive=True)
 
 
 
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  with gr.Column():
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- eMg = gr.Number(label="Mg (meq/100g)", value=3.47, interactive=True)
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- Sa = gr.Number(label="Arena (%)", value=45.0, interactive=True)
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- CEC = gr.Number(label="CIC (meq/100g)", value=23.52, interactive=True)
 
 
 
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  with gr.Row():
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  with gr.Column():
@@ -79,7 +93,7 @@ with gr.Blocks() as demo:
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  submit_3 = gr.Button(value='MLRegression')
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  with gr.Column():
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  submit_4 = gr.Button(value='Random Forest')
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- output = gr.Textbox(label=" Densidad aparente del suelo (%).", interactive=False)
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  submit_1.click(predict_1, inputs=[SOC], outputs=[output])
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  submit_2.click(predict_2, inputs=[SOC, Cy], outputs=[output])
 
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  gr.Markdown("# Estimaci贸n de la densidad aparente del suelo")
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  with gr.Row():
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  with gr.Column():
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+ gr.Markdown("**pH (1:1) en H<sub>2</sub>O**")
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+ pH = gr.Number(label="", value=7.09, interactive=True)
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+ gr.Markdown("**C.E. (1:1 dS/m)**")
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+ EC = gr.Number(label="", value=0.31, interactive=True)
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+ gr.Markdown("**CaCO<sub>2</sub> (%)**")
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+ CCE = gr.Number(label="CaCO3 (%)", value=0.20, interactive=True)
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+ gr.Markdown("**M.O. (%)**")
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+ SOC = gr.Number(label="", value=2.9408, interactive=True, elem_classes="bold-label")
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  with gr.Column():
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+ gr.Markdown("**Arcilla (%)**")
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+ Cy = gr.Number(label="", value=31.0, interactive=True)
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+ gr.Markdown("**Limo (%)**")
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+ Si = gr.Number(label="", value=24.0, interactive=True)
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+ gr.Markdown("**Arena (%)**")
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+ Sa = gr.Number(label="", value=45.0, interactive=True)
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+ gr.Markdown("**CIC (meq/100g)**")
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+ CEC = gr.Number(label="", value=23.52, interactive=True)
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  with gr.Column():
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+ gr.Markdown("**Ca<sup>2+</sup> (meq/100g)**")
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+ eCa = gr.Number(label="", value=19.44, interactive=True)
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+ gr.Markdown("**Mg<sup>2+</sup> (meq/100g)**")
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+ eMg = gr.Number(label="", value=3.47, interactive=True)
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+ gr.Markdown("**Textura**")
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+ Txt = gr.Textbox(label="", lines=1, placeholder="Ingresa cualquier texto aqu铆")
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  with gr.Column():
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+ gr.Markdown("**K<sup>+</sup> (meq/100g)**")
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+ eK = gr.Number(label="", value=0.47, interactive=True)
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+ gr.Markdown("**Na<sup>+</sup> (meq/100g)**")
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+ eNa = gr.Number(label="", value=0.15, interactive=True)
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+ gr.Markdown("**Al<sup>3+</sup> + H<sup>+</sup> (meq/100g)**")
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+ eAlH = gr.Number(label="", value=0.0, interactive=True)
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  with gr.Row():
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  with gr.Column():
 
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  submit_3 = gr.Button(value='MLRegression')
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  with gr.Column():
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  submit_4 = gr.Button(value='Random Forest')
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+ output = gr.Textbox(label="Densidad aparente del suelo (g/cm3).", interactive=False)
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  submit_1.click(predict_1, inputs=[SOC], outputs=[output])
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  submit_2.click(predict_2, inputs=[SOC, Cy], outputs=[output])