RatanPrakash commited on
Commit
a86c49e
·
1 Parent(s): 848a51f

Fix indentation in OCR text concatenation for consistent output formatting

Browse files
Files changed (1) hide show
  1. app.py +2 -4
app.py CHANGED
@@ -290,7 +290,7 @@ elif app_mode == "Task 1":
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  for line in result:
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  for box in line:
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  currText, confidence = box[1][0], box[1][1]
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- text += currText + " "
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  message = f"image ocr: {text} Caption: {caption}"
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  st.write(message)
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  #OCR result text to be parsed here through LLM and get product listing content.
@@ -327,8 +327,6 @@ elif app_mode == "Task 1":
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  for uploaded_image in uploaded_files:
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  # Load the uploaded image
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  image = Image.open(uploaded_image)
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- # st.image(image, caption=f'Uploaded Image: {uploaded_image.name}', use_column_width=True)
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-
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  # Convert image to numpy array for OCR processing
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  img_array = np.array(image)
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@@ -340,7 +338,7 @@ elif app_mode == "Task 1":
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  for line in result:
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  for box in line:
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  currText, confidence = box[1][0], box[1][1]
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- text += currText + " "
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  st.write(f"OCR Result: {text}")
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  #OCR result text to be parsed here through LLM and get product listing content.
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  simulate_progress()
 
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  for line in result:
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  for box in line:
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  currText, confidence = box[1][0], box[1][1]
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+ text += currText + " "
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  message = f"image ocr: {text} Caption: {caption}"
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  st.write(message)
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  #OCR result text to be parsed here through LLM and get product listing content.
 
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  for uploaded_image in uploaded_files:
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  # Load the uploaded image
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  image = Image.open(uploaded_image)
 
 
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  # Convert image to numpy array for OCR processing
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  img_array = np.array(image)
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  for line in result:
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  for box in line:
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  currText, confidence = box[1][0], box[1][1]
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+ text += currText + " "
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  st.write(f"OCR Result: {text}")
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  #OCR result text to be parsed here through LLM and get product listing content.
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  simulate_progress()