VishnuEcoClim commited on
Commit
9dc35b4
·
1 Parent(s): c01fb47

Update app.py

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Files changed (1) hide show
  1. app.py +4 -3
app.py CHANGED
@@ -3,7 +3,8 @@ import streamlit as st
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  import numpy as np
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  import PIL
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  import urllib.request
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- from utils import * # Assuming the gen_labels() and preprocess() functions are in this module
 
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  # Function to classify the garbage
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  def classify_garbage(img_path, model):
@@ -28,12 +29,12 @@ opt = st.selectbox("How do you want to upload the image for classification?", ('
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  if opt == 'Upload image from device':
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  file = st.file_uploader('Select', type=['jpg', 'png', 'jpeg'])
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  if file is not None:
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- image = PIL.Image.open(file).resize((256, 256), Image.LANCZOS)
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  elif opt == 'Upload image via link':
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  img_url = st.text_input('Enter the Image Address')
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  try:
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- image = PIL.Image.open(urllib.request.urlopen(img_url)).resize((256, 256), Image.LANCZOS)
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  except ValueError:
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  st.error("Please Enter a valid Image Address!")
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  import numpy as np
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  import PIL
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  import urllib.request
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+ from utils import *
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+ from fastai.basics import *
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  # Function to classify the garbage
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  def classify_garbage(img_path, model):
 
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  if opt == 'Upload image from device':
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  file = st.file_uploader('Select', type=['jpg', 'png', 'jpeg'])
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  if file is not None:
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+ image = to_image(file).resize((256, 256), Image.LANCZOS)
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  elif opt == 'Upload image via link':
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  img_url = st.text_input('Enter the Image Address')
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  try:
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+ image = to_image(urllib.request.urlopen(img_url)).resize((256, 256), Image.LANCZOS)
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  except ValueError:
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  st.error("Please Enter a valid Image Address!")
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