Update app.py

app.py

@@ -9,7 +9,7 @@ from tensorflow.keras.layers import GlobalAveragePooling2D
 import numpy as np
 import pickle
 
-pickle_file_path = 'models/svm_model.pkl'
+pickle_file_path = 'svm_model.pkl'
 
 with open(pickle_file_path, 'rb') as file:
     svm_model = pickle.load(file)
@@ -43,11 +43,11 @@ def predict_bmi(img):
     return pred
 
 def main():
-    st.title("BMI Prediction from Camera Image")
-    st.write("This app predicts the BMI of a person from an image captured using the camera.")
+    st.title("Prédiction de l'IMC à partir de l'image de la caméra")
+    st.write("Cette application prédit l'IMC d'une personne à partir d'une image capturée à l'aide de l'appareil photo.")
 
     # Capture an image from the camera using streamlit-media's camera_input function
-    img_file_buffer = st.camera_input("Take a picture")
+    img_file_buffer = st.camera_input("Prendre une photo")
 
     if img_file_buffer is not None:
         # Load the image data from the file buffer
@@ -58,7 +58,7 @@ def main():
         bmi_label = predict_bmi(img)
 
         # Display the predicted BMI
-        st.write("Predicted BMI:", str(bmi_label[0] - 5))
+        st.write("IMC prédit ::", str(bmi_label[0] - 5))
 
 if __name__ == '__main__':
     main()