Update app.py

app.py

@@ -1,51 +1,3 @@
-import streamlit as st
-from fpdf import FPDF
-import tempfile
-from io import BytesIO
-from PIL import Image
-import re
-
-# Custom CSS for UI enhancements
-def apply_custom_css():
-    st.markdown("""
-        <style>
-            .title { 
-                font-size: 2.5rem; 
-                color: #4CAF50; 
-                text-align: center; 
-                margin-bottom: 20px; 
-            }
-            .subtitle { 
-                font-size: 1.5rem; 
-                color: #FF5722; 
-                margin-top: 20px; 
-                margin-bottom: 10px; 
-            }
-            .separator { 
-                border-top: 2px solid #eee; 
-                margin-top: 30px; 
-                margin-bottom: 30px; 
-            }
-            .suggestions { 
-                background-color: #f9f9f9; 
-                border-left: 4px solid #2196F3; 
-                padding: 10px; 
-                margin: 10px 0; 
-            }
-        </style>
-    """, unsafe_allow_html=True)
-
-# Function to calculate the ATS score
-def calculate_ats_score(resume_text, job_description):
-    resume_keywords = set(re.findall(r'\w+', resume_text.lower()))
-    job_keywords = set(re.findall(r'\w+', job_description.lower()))
-    common_keywords = resume_keywords.intersection(job_keywords)
-
-    score = (len(common_keywords) / len(job_keywords)) * 100
-    suggestions = set(job_keywords) - common_keywords
-    return score, suggestions
-
-# Resume Builder Class using FPDF
 class ResumeBuilder(FPDF):
     def header(self):
         self.set_font("Arial", "B", 16)
@@ -62,23 +14,22 @@ class ResumeBuilder(FPDF):
         self.multi_cell(0, 10, content)
         self.ln(5)
 
-  def add_image(self, image):
-    # Open the image
-    image = Image.open(image)
-    
-    # Convert image to RGB (remove alpha channel if it exists)
-    if image.mode == "RGBA":
-        image = image.convert("RGB")
-    
-    # Save the image in a temporary file in a format that FPDF accepts (JPEG)
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as temp_file:
-        image.save(temp_file, "JPEG")  # Ensure the image is saved as JPEG
-        temp_file_path = temp_file.name
-
-    # Add the image to the PDF
-    self.image(temp_file_path, x=10, y=self.get_y(), w=30, h=30)
-    self.set_y(self.get_y() + 35)
+    def add_image(self, image):
+        # Open the image
+        image = Image.open(image)
+        
+        # Convert image to RGB (remove alpha channel if it exists)
+        if image.mode == "RGBA":
+            image = image.convert("RGB")
+        
+        # Save the image in a temporary file in a format that FPDF accepts (JPEG)
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as temp_file:
+            image.save(temp_file, "JPEG")  # Ensure the image is saved as JPEG
+            temp_file_path = temp_file.name
 
+        # Add the image to the PDF
+        self.image(temp_file_path, x=10, y=self.get_y(), w=30, h=30)
+        self.set_y(self.get_y() + 35)
 
     def add_social_icons(self, linkedin=None, email=None, phone=None):
         self.set_font("Arial", "B", 12)
@@ -99,101 +50,3 @@ class ResumeBuilder(FPDF):
         self.set_font("Arial", "", 12)
         self.multi_cell(0, 10, "\n".join(skills))
         self.ln(5)
-
-# Function to generate ATS-friendly Resume
-def generate_resume(data, picture):
-    pdf = ResumeBuilder()
-    pdf.add_page()
-
-    if picture:
-        pdf.add_image(picture)
-
-    pdf.add_section("Name", data["name"])
-    pdf.add_section("Summary", data["summary"])
-    pdf.add_section("Experience", data["experience"])
-    pdf.add_section("Education", data["education"])
-
-    pdf.add_skills(data["skills"], "Software Skills")
-    pdf.add_skills(data["certifications"], "Certifications")
-    pdf.add_skills(data["languages"], "Languages")
-
-    pdf.add_social_icons(
-        linkedin=data["linkedin"],
-        email=data["email"],
-        phone=data["phone"],
-    )
-
-    pdf_output = BytesIO()
-    pdf.output(pdf_output)
-    pdf_output.seek(0)
-    return pdf_output
-
-# Main App
-def main():
-    apply_custom_css()
-
-    st.markdown("<div class='title'>ATS Resume Helper</div>", unsafe_allow_html=True)
-
-    st.sidebar.title("Features")
-    selected_feature = st.sidebar.radio(
-        "Select a feature:", ["Resume Checker", "Build ATS-Friendly Resume"]
-    )
-
-    if selected_feature == "Resume Checker":
-        st.subheader("📂 Upload your Resume")
-        uploaded_resume = st.file_uploader(
-            "Upload Resume (PDF or Word):", type=["pdf", "docx"]
-        )
-        job_description = st.text_area("📋 Paste Job Description:")
-
-        if uploaded_resume:
-            text = extract_text_from_pdf(uploaded_resume) if uploaded_resume.name.endswith(".pdf") else extract_text_from_docx(uploaded_resume)
-            score, suggestions = calculate_ats_score(text, job_description)
-
-            st.write(f"Your ATS Score: {score:.2f}/100")
-            st.write("Suggestions to improve your resume:")
-            for suggestion in suggestions:
-                st.write(f"- {suggestion}")
-
-    elif selected_feature == "Build ATS-Friendly Resume":
-        st.subheader("🛠️ Build Your Resume")
-        with st.form("resume_form"):
-            name = st.text_input("Full Name")
-            summary = st.text_area("Professional Summary")
-            experience = st.text_area("Work Experience")
-            skills = st.text_area("Software Skills (separated by lines)")
-            certifications = st.text_area("Certifications (separated by lines)")
-            languages = st.text_area("Languages (separated by lines)")
-            linkedin = st.text_input("LinkedIn URL")
-            email = st.text_input("Email Address")
-            phone = st.text_input("Phone Number")
-
-            picture = st.file_uploader("Upload Profile Picture", type=["jpg", "png"])
-            submitted = st.form_submit_button("Generate Resume")
-
-        if submitted:
-            if not all([name, summary, experience, skills, certifications, languages, email]):
-                st.error("Please fill all mandatory fields!")
-            else:
-                data = {
-                    "name": name,
-                    "summary": summary,
-                    "experience": experience,
-                    "skills": skills.splitlines(),
-                    "certifications": certifications.splitlines(),
-                    "languages": languages.splitlines(),
-                    "linkedin": linkedin,
-                    "email": email,
-                    "phone": phone,
-                }
-                resume_pdf = generate_resume(data, picture)
-                st.success("Resume generated successfully!")
-                st.download_button(
-                    label="Download Resume",
-                    data=resume_pdf,
-                    file_name=f"{name}_resume.pdf",
-                    mime="application/pdf",
-                )
-
-if __name__ == "__main__":
-    main()