Spaces:
Sleeping
Sleeping
Update functions.py
Browse files- functions.py +35 -3
functions.py
CHANGED
@@ -385,11 +385,11 @@ class QdrantInterface:
|
|
385 |
|
386 |
|
387 |
|
388 |
-
def
|
389 |
-
|
390 |
|
391 |
# File uploader widget
|
392 |
-
uploaded_file = st.file_uploader("Upload
|
393 |
|
394 |
if uploaded_file is not None:
|
395 |
# Read PDF file
|
@@ -417,6 +417,38 @@ def main():
|
|
417 |
mime="text/csv"
|
418 |
)
|
419 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
420 |
def convert_to_csv(text):
|
421 |
# Split text into lines and create a DataFrame
|
422 |
lines = text.split("\n")
|
|
|
385 |
|
386 |
|
387 |
|
388 |
+
def resume_pdf():
|
389 |
+
|
390 |
|
391 |
# File uploader widget
|
392 |
+
uploaded_file = st.file_uploader("Upload Resumes", type=["pdf"])
|
393 |
|
394 |
if uploaded_file is not None:
|
395 |
# Read PDF file
|
|
|
417 |
mime="text/csv"
|
418 |
)
|
419 |
|
420 |
+
def resume_pdf():
|
421 |
+
|
422 |
+
|
423 |
+
# File uploader widget
|
424 |
+
uploaded_file = st.file_uploader("Upload Job Description", type=["pdf"])
|
425 |
+
|
426 |
+
if uploaded_file is not None:
|
427 |
+
# Read PDF file
|
428 |
+
pdf_reader = PyPDF2.PdfFileReader(uploaded_file)
|
429 |
+
num_pages = pdf_reader.numPages
|
430 |
+
|
431 |
+
# Extract text from each page
|
432 |
+
text = ""
|
433 |
+
for page_num in range(num_pages):
|
434 |
+
page = pdf_reader.getPage(page_num)
|
435 |
+
text += page.extractText()
|
436 |
+
|
437 |
+
# Convert text to CSV
|
438 |
+
csv_data = convert_to_csv(text)
|
439 |
+
|
440 |
+
# Display or download CSV
|
441 |
+
st.subheader("Converted CSV Data")
|
442 |
+
st.write(csv_data)
|
443 |
+
|
444 |
+
# Download link for CSV file
|
445 |
+
st.download_button(
|
446 |
+
label="Download CSV",
|
447 |
+
data=csv_data,
|
448 |
+
file_name="converted_data.csv",
|
449 |
+
mime="text/csv"
|
450 |
+
)
|
451 |
+
|
452 |
def convert_to_csv(text):
|
453 |
# Split text into lines and create a DataFrame
|
454 |
lines = text.split("\n")
|