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add new feature
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app.py
CHANGED
@@ -3,7 +3,7 @@ import PyPDF2
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import io
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import os
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-
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unicodeatoz = ["ब", "द", "अ", "म", "भ", "ा", "न", "ज", "ष्", "व", "प", "ि", "फ", "ल", "य", "उ", "त्र", "च", "क", "त", "ग", "ख", "ध", "ह", "थ", "श"]
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unicodeAtoZ = ["ब्", "ध", "ऋ", "म्", "भ्", "ँ", "न्", "ज्", "क्ष्", "व्", "प्", "ी", "ः", "ल्", "इ", "ए", "त्त", "च्", "क्", "त्", "ग्", "ख्", "ध्", "ह्", "थ्", "श्"]
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unicode0to9 = ["ण्", "ज्ञ", "द्द", "घ", "द्ध", "छ", "ट", "ठ", "ड", "ढ"]
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@@ -49,28 +49,22 @@ symbolsDict = {
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def normalizePreeti(preetitxt):
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normalized = ''
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previoussymbol = ''
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preetitxt = preetitxt.replace('f]', 'ो')
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preetitxt = preetitxt.replace('0f', 'ण')
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preetitxt = preetitxt.replace('If', 'क्ष')
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preetitxt = preetitxt.replace('if', 'ष')
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preetitxt = preetitxt.replace('cf', 'आ')
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index = -1
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while index + 1 < len(preetitxt):
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index += 1
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character = preetitxt[index]
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try:
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if preetitxt[index + 2] == '{':
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index += 1
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continue
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except IndexError:
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pass
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if character == 'l':
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@@ -101,10 +95,13 @@ def convert(preeti):
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def extract_text_from_pdf(pdf_file):
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text = ''
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return text
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def process_file(inputfile):
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@@ -112,12 +109,12 @@ def process_file(inputfile):
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if ext == '.pdf':
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preeti = extract_text_from_pdf(inputfile)
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else:
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with open(inputfile, "r") as fp:
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preeti = fp.read()
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return convert(preeti)
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def main():
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st.title("
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uploaded_file = st.file_uploader("Choose a PDF or TXT file", type=["pdf", "txt"])
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@@ -149,4 +146,4 @@ def main():
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)
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if __name__ == "__main__":
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main()
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import io
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import os
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# Updated Unicode mappings
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unicodeatoz = ["ब", "द", "अ", "म", "भ", "ा", "न", "ज", "ष्", "व", "प", "ि", "फ", "ल", "य", "उ", "त्र", "च", "क", "त", "ग", "ख", "ध", "ह", "थ", "श"]
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unicodeAtoZ = ["ब्", "ध", "ऋ", "म्", "भ्", "ँ", "न्", "ज्", "क्ष्", "व्", "प्", "ी", "ः", "ल्", "इ", "ए", "त्त", "च्", "क्", "त्", "ग्", "ख्", "ध्", "ह्", "थ्", "श्"]
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unicode0to9 = ["ण्", "ज्ञ", "द्द", "घ", "द्ध", "छ", "ट", "ठ", "ड", "ढ"]
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def normalizePreeti(preetitxt):
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normalized = ''
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previoussymbol = ''
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# Additional normalization for complex combinations
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preetitxt = preetitxt.replace('qm', 's|').replace('f]', 'ो').replace('km', 'फ').replace('0f', 'ण').replace('If', 'क्ष').replace('if', 'ष').replace('cf', 'आ')
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index = -1
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while index + 1 < len(preetitxt):
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index += 1
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character = preetitxt[index]
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try:
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if preetitxt[index + 2] == '{' and (preetitxt[index + 1] == 'f' or preetitxt[index + 1] == 'ो'):
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normalized += '{' + character + preetitxt[index + 1]
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index += 2
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continue
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if preetitxt[index + 1] == '{' and character != 'f':
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normalized += '{' + character
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index += 1
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continue
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except IndexError:
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pass
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if character == 'l':
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def extract_text_from_pdf(pdf_file):
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text = ''
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try:
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with open(pdf_file, 'rb') as file:
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reader = PyPDF2.PdfReader(file)
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for page in reader.pages:
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text += page.extract_text()
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except Exception as e:
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text = f"Error extracting text: {e}"
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return text
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def process_file(inputfile):
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if ext == '.pdf':
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preeti = extract_text_from_pdf(inputfile)
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else:
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with open(inputfile, "r", encoding="utf-8") as fp:
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preeti = fp.read()
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return convert(preeti)
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def main():
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st.title("Preeti to Unicode Converter")
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uploaded_file = st.file_uploader("Choose a PDF or TXT file", type=["pdf", "txt"])
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)
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if __name__ == "__main__":
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main()
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