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Runtime error
venkatchoudharyala
commited on
Commit
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12cc604
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Parent(s):
aa17f32
Upload 7 files
Browse files- .streamlit/config.toml +3 -0
- WebComponents/ArticleExtractor.py +26 -0
- app.py +16 -0
- packages.txt +4 -0
- pages/Extraction.py +55 -0
- pages/Final.py +16 -0
- requirements.txt +9 -0
.streamlit/config.toml
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[theme]
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base = "dark"
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font = "monospace"
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WebComponents/ArticleExtractor.py
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import pytesseract
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from PIL import Image
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from io import BytesIO
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#import easyocr
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# Function to perform OCR with Tesseract
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def ocr_with_tesseract(image):
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# Perform OCR on the image using pytesseract
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extracted_text = pytesseract.image_to_string(image)
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return extracted_text
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# Function to perform OCR with EasyOCR
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'''
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def ocr_with_easyocr(image):
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# Convert the image to bytes for easyocr
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image_bytes = image.tobytes()
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# Perform OCR on the image using easyocr
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reader = easyocr.Reader(['en']) # You can add other languages as needed
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result = reader.readtext(image_bytes)
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# Extract text from OCR result
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extracted_text = [text[1] for text in result]
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return extracted_text
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'''
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app.py
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import streamlit as st
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from headline_gen.Control import ServerInit
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import os
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import nltk
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def main():
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#os.environ['JAVAHOME'] = 'usr/bin/java'
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st.title("Abstract Page")
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if "Server" not in st.session_state:
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with st.spinner("Booting Server"):
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st.session_state["Server"] = ServerInit("Start")
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else:
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if st.button("Upload Text"):
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st.switch_page("pages/Extraction.py")
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if __name__ == "__main__":
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main()
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packages.txt
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tesseract-ocr
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tesseract-ocr-por
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default-jdk
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default-jre
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pages/Extraction.py
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import streamlit as st
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from WebComponents import ArticleExtractor as ocr
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from streamlit_cropper import st_cropper
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from PIL import Image
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st.set_page_config(layout="wide")
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def main():
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tab1, tab2 = st.tabs(['Manual', 'OCR'])
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if 'Questions' not in st.session_state:
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st.session_state['Questions'] = []
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st.session_state['Flag'] = False
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with tab1:
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with st.form("Manual", clear_on_submit = True):
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Question = st.text_area("Question")
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st.write(Question)
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col1, col2 = st.columns(2)
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with col1:
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if st.form_submit_button("Reset"):
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k = 0
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#st.session_state['Questions'].append({"QuestionID": ID, "Question": Question})
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with col2:
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if st.form_submit_button("Generate HL"):
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st.session_state['Questions'].append(Question)
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st.switch_page("pages/Final.py")
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with tab2:
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if "file_uploader_key" not in st.session_state:
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st.session_state["file_uploader_key"] = 0
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Image_File = st.file_uploader("Upload the Image", type=['png', 'jpg'], key=st.session_state["file_uploader_key"],)
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if Image_File:
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col1, col2 = st.columns(2)
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with col1:
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img = Image.open(Image_File)
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cropped_img = st_cropper(img, realtime_update = True, box_color = "#FF0012", aspect_ratio = (5, 2))
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with col2:
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st.write("Preview")
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_ = cropped_img.thumbnail((580, 580))
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st.image(cropped_img)
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#if st.button("Extract"):
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ExText = ocr.ocr_with_tesseract(cropped_img)
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with st.form("OCR", clear_on_submit = True):
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Question = st.text_area("Question", value = ExText)
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col1, col2 = st.columns(2)
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with col1:
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if st.form_submit_button("Reset"):
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st.session_state["file_uploader_key"] += 1
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st.rerun()
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#st.session_state['Questions'].append({"Question": Question})
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with col2:
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if st.form_submit_button("Generate HL"):
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st.session_state['Questions'].append(Question)
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st.switch_page("pages/Final.py")
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if __name__ == "__main__":
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main()
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pages/Final.py
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import streamlit as st
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from headline_gen.Control import Generate
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def main():
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if 'Questions' in st.session_state:
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with st.spinner("Generating Head Line!!!"):
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#st.subheader(st.session_state['Questions'][-1])
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if 'Server' in st.session_state:
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st.success(Generate(st.session_state['Questions'][-1], st.session_state["Server"]))
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else:
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st.error("Server is not Booted")
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else:
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st.error("Please Navigate back to Extraction Page and Upload your Article")
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if __name__ == "__main__":
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main()
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requirements.txt
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streamlit-cropper
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pytesseract
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textacy
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regex
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nltk
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scipy==1.12.0
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gensim
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networkx
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headline-gen
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