mookkanvas commited on
Commit
976e83f
1 Parent(s): 1de979a

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -11,7 +11,7 @@ def predict(image):
11
  return {p["label"]: p["score"] for p in predictions}
12
 
13
  def main():
14
- st.title("Image Classification")
15
 
16
  with st.form("my_form"):
17
  uploaded_file = st.file_uploader("Choose an image file", type=["jpg", "jpeg", "png"])
@@ -19,8 +19,8 @@ def main():
19
  if uploaded_file is not None:
20
  # Display the uploaded image
21
  image = Image.open(uploaded_file)
22
- st.image(image, caption="Uploaded Image", use_column_width=True)
23
- clicked = st.form_submit_button("Predict")
24
  if clicked:
25
  results = predict(image)
26
  k = []
@@ -31,7 +31,7 @@ def main():
31
  k.append(key)
32
  vp = [str(item) + '%' for item in v]
33
  result = k[0]
34
- st.success('The predicted image is {}'.format(result))
35
  df = pd.DataFrame({'Prediction': k,'Accuracy':vp})
36
  st.dataframe(df,hide_index=True)
37
 
 
11
  return {p["label"]: p["score"] for p in predictions}
12
 
13
  def main():
14
+ st.title("Age Classification From Image")
15
 
16
  with st.form("my_form"):
17
  uploaded_file = st.file_uploader("Choose an image file", type=["jpg", "jpeg", "png"])
 
19
  if uploaded_file is not None:
20
  # Display the uploaded image
21
  image = Image.open(uploaded_file)
22
+ st.image(image, caption="Your uploaded Image", use_column_width=True)
23
+ clicked = st.form_submit_button("Press to predict")
24
  if clicked:
25
  results = predict(image)
26
  k = []
 
31
  k.append(key)
32
  vp = [str(item) + '%' for item in v]
33
  result = k[0]
34
+ st.success('The predicted age is {}'.format(result))
35
  df = pd.DataFrame({'Prediction': k,'Accuracy':vp})
36
  st.dataframe(df,hide_index=True)
37