Update app.py
Browse files
app.py
CHANGED
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@@ -103,11 +103,10 @@ def main():
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uploaded_photo = st.file_uploader("Upload Image, Containing English or Bangla texts",type=['jpg','png','jpeg','pdf'], on_change=change_photo_state)
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if "photo" not in st.session_state:
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st.session_state["photo"]="not done"
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if st.session_state["photo"]=="done" or message:
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if st.button("Process_PDF"):
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text = read_pdf(uploaded_photo)
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st.success(text)
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if uploaded_photo and uploaded_photo.type != "application/pdf":
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img = Image.open(uploaded_photo)
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@@ -116,15 +115,16 @@ def main():
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text = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark to see Bangla Image's Text") else pytesseract.image_to_string(img)
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st.success(text)
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elif camera_photo:
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if st.checkbox("Show Named Entities English/Bangla"):
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entity_result = entity_analyzer(text)
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st.json(entity_result)
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uploaded_photo = st.file_uploader("Upload Image, Containing English or Bangla texts",type=['jpg','png','jpeg','pdf'], on_change=change_photo_state)
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if "photo" not in st.session_state:
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st.session_state["photo"]="not done"
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if st.session_state["photo"]=="done" or message:
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if st.button("Process_PDF"):
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text = read_pdf(uploaded_photo)
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#text = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark to see Bangla Image's Text") else pytesseract.image_to_string(img)
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st.success(text)
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if uploaded_photo and uploaded_photo.type != "application/pdf":
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img = Image.open(uploaded_photo)
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text = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark to see Bangla Image's Text") else pytesseract.image_to_string(img)
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st.success(text)
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elif camera_photo:
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img = Image.open(camera_photo)
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img = img.save("img.png")
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img = cv2.imread("img.png")
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text = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark to see Bangla Image's Text") else pytesseract.image_to_string(img)
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st.success(text)
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elif uploaded_photo==None and camera_photo==None:
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#our_image=load_image("image.jpg")
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#img = cv2.imread("scholarly_text.jpg")
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text = message
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if st.checkbox("Show)
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if st.checkbox("Show Named Entities English/Bangla"):
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entity_result = entity_analyzer(text)
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st.json(entity_result)
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