Create app.py

app.py

@@ -0,0 +1,77 @@
+import pandas as pd
+import streamlit as st 
+import pandas as pd
+import PyPDF2
+import functions
+
+def main():
+    st.title("PDF to CSV Converter")
+
+    # File uploader widget
+    uploaded_file = st.file_uploader("Upload PDF", type=["pdf"])
+
+    if uploaded_file is not None:
+        # Read PDF file
+        pdf_reader = PyPDF2.PdfFileReader(uploaded_file)
+        num_pages = pdf_reader.numPages
+
+        # Extract text from each page
+        text = ""
+        for page_num in range(num_pages):
+            page = pdf_reader.getPage(page_num)
+            text += page.extractText()
+
+        # Convert text to CSV
+        csv_data = convert_to_csv(text)
+
+        # Display or download CSV
+        st.subheader("Converted CSV Data")
+        st.write(csv_data)
+
+        # Download link for CSV file
+        st.download_button(
+            label="Download CSV",
+            data=csv_data,
+            file_name="converted_data.csv",
+            mime="text/csv"
+        )
+
+def convert_to_csv(text):
+    # Split text into lines and create a DataFrame
+    lines = text.split("\n")
+    df = pd.DataFrame(lines, columns=["Text"])
+
+    # Convert DataFrame to CSV format
+    csv_data = df.to_csv(index=False)
+
+    return csv_data
+
+
+
+
+
+backgroundPattern = """
+<style>
+[data-testid="stAppViewContainer"] {
+    background-color: #0E1117;
+    opacity: 1;
+    background-image: radial-gradient(#282C34 0.75px, #0E1117 0.75px);
+    background-size: 15px 15px;
+}
+</style>
+"""
+
+st.markdown(backgroundPattern, unsafe_allow_html=True)
+
+st.write("""
+# Resume Screening & Classification
+""")
+
+tab3 = st.tabs(['Rank'])
+
+
+with tab3:
+    st.header('Input')
+    if __name__ == "__main__":
+        uploadedJobDescriptionRnk= main()
+        uploadedResumeRnk= main()