Text correction

Remove plasma from options

app.py

@@ -17,7 +17,9 @@ model.add(Dense(output_len, activation='sigmoid', bias_initializer='zeros'))
 model_checkpoint_path = os.path.join('model', 'biofilms_model_checkpoint')
 model.load_weights(model_checkpoint_path)
 
-materials_labels = ["плазма",	"фтор",	"графен",	"Si/SiO2: 2 - нано Si",	"Al/Al(OH)3",	"Li",	"Ti/TiO2",	"Pb",	"ZrO2",	"Co",	"V",	"Fe/FeOn: 2 - ферралит",	"Cu",	"Ag",	"Cr",	"Zn",	"ZnS",	"Mn",	"Ca",	"Mg",	"Na",	"K",	"NH4/NO2",	"CO2 atm",	"солонец",	"Muscovite",	"Mont-t",	"Kaolinite",	"Chlorite",	"Fillite",	"Clinochlor",	"Calcite",	"Dolomite",	"Barite",	"Gypsum"]
+materials_labels = ["фтор",	"графен",	"Si/SiO2",	"Al/Al(OH)3",	"Li",	"Ti/TiO2",	"Pb",	"ZrO2",	"Co",	"V",	"Fe/FeOn",
+                    "Cu",	"Ag",	"Cr",	"Zn",	"ZnS",	"Mn",	"Ca",	"Mg",	"Na",	"K",	"NH4/NO2",	"CO2 atm",	"солонец",	"Muscovite",
+                    "Mont-t",	"Kaolinite",	"Chlorite",	"Fillite",	"Clinochlor",	"Calcite",	"Dolomite",	"Barite",	"Gypsum"]
 sharpness_values = ["волнистая", "пористая", "дисперсная", "грубодисперсная"]
 
 def get_sample_dat(sample):
@@ -45,7 +47,7 @@ def calculate_result(materials, sharpness, angles):
     predict = model.predict(np.expand_dims(X, axis=0), verbose=0)[0]
     result = (predict[0] / (predict[0] + predict[1])) * 100.0
     result_string = "{:.1f}".format(result)
-    return f"Biofilm exist chance: {result_string} / {predict[0]} / {predict[1]} / {X}%"
+    return f"Biofilm existence chance: {result_string} / {predict[0]} / {predict[1]} / {X}%"
 
 def greet(Materials, Sharpness, Angles):
     return "Hello, my friend " + Angles + "!! /=/ " + str(Materials[0]) + " /=/ " + str(Sharpness)
@@ -55,6 +57,7 @@ def button_click(Materials, Sharpness, Angles):
     sharpness = 0
     angles = []
     try:
+        materials.append(0.0) # Plasma value
         for var in range(len(materials_labels)):
             if (var in Materials):
                 materials.append(1.0)
@@ -73,7 +76,7 @@ def button_click(Materials, Sharpness, Angles):
         predict = model.predict(np.expand_dims(X, axis=0),verbose = 0)[0]
         result = (predict[0]/(predict[0]+predict[1]))*100.0
         result_string = "{:.1f}".format(result)
-        return f"Biofilm exist chance: {result_string}%"
+        return f"Biofilm existence chance: {result_string}%"
     except ValueError as e:
         return f"Error: {e}"
 
@@ -81,8 +84,8 @@ iface = gr.Interface(
     fn=button_click,
     inputs = [
         gr.CheckboxGroup(choices=materials_labels, label="Materials", type='index'),
-        gr.Radio(sharpness_values, label="Sharpness", type='index'),
-        gr.Textbox(lines=1, label="Write contanc angles:")
+        gr.Radio(sharpness_values, label="Roughness", type='index'),
+        gr.Textbox(lines=1, label="Write contact angles:")
     ],
     outputs="text")