bug fix

app.py

@@ -30,13 +30,18 @@ if not os.path.exists("mlp_probabilidad.h5"):
 # Scaler para scores
 if not os.path.exists("scaler.pickle"): 
     urlretrieve("https://dl.dropboxusercontent.com/s/ow6pe4k45r3xkbl/scaler.pickle?dl=0", "scaler.pickle")
+    
+# Archivo de texto para reportes
+if not os.path.exists("report.txt"): 
+    urlretrieve("https://dl.dropboxusercontent.com/s/ycjpkd65rhlicxq/report.txt?dl=0", "report.txt")
+    
 
 path_3d_unet = 'unet.h5'
 weight_path = 'resnet_50_23dataset.pth'
 svm_path = "svm_model.pickle"
 prob_model_path = "mlp_probabilidad.h5"
 scaler_path = "scaler.pickle" 
-
+report_path = "report.txt"
 
 '''---------------------------- Carga de modelos ------------------------------'''
 # 3D U-Net
@@ -103,7 +108,7 @@ def save_file(input_name, input_age, input_phone_num, input_emer_name, input_eme
               input_medications, input_allergies,diagnosis):
     
     
-    with open('results.txt', 'w') as f:
+    with open(report_path, 'w') as f:
             # Save Patient Data
             f.write("Patient data:\n")
             f.write(f"\tName: {input_name.capitalize()}\n")
@@ -181,7 +186,7 @@ def get_diagnosis(brain_img, input_name, input_age, input_phone_num, input_emer_
                   input_Respiratory_rate, input_Body_temperature, input_Pluse_oximetry,
                   input_medications, input_allergies,diagnosis)
     
-    return gr.update(value=diagnosis), gr.update(value="results.txt", visible=True), gr.update(visible=True)
+    return gr.update(value=diagnosis), gr.update(value=report_path, visible=True), gr.update(visible=True)
 
 
 def clear():
@@ -210,7 +215,7 @@ with gr.Blocks(theme=gr.themes.Base()) as demo:
                     input_phone_num = gr.Number(label='Phone number')
                     input_emer_name = gr.Textbox(placeholder='Enter the emergency contact name', label='Emergency contact name')
                     input_emer_phone_num = gr.Number(label='Emergency contact name phone number', value=None)
-                    input_sex = gr.Dropdown(["Male", "Female"], label="Sex")
+                    input_sex = gr.Dropdown(["Male", "Female"], label="Sex", value="Male")
                     
                 with gr.Tab("Clinical data"):
                     input_MMSE = gr.Slider(minimum=0,
@@ -294,11 +299,11 @@ with gr.Blocks(theme=gr.themes.Base()) as demo:
                 
                 ## Authors
                 
-                 - Daniel Stiven Zambrano Acosta <span>B.Sc</span>
-                 - Juan Sebastián Bravo Santacruz <span>B.Sc</span>
-                 - Wilson Javier Arenas López <span>M.Sc</span>
-                 - Pablo Alexander Reyes Gavilan PhD
-                 - Miguel Alfonso Altuve PhD
+                 - Daniel Stiven Zambrano Acosta, <span>B.Sc</span>
+                 - Juan Sebastián Bravo Santacruz, <span>B.Sc</span>
+                 - Ing. Wilson Javier Arenas López, <span>M.Sc</span>
+                 - Psy. Pablo Alexander Reyes Gavilan, PhD
+                 - Ing. Miguel Alfonso Altuve, PhD
                 
                 
                 ## Acknowledgement