Update app.py

app.py

@@ -4,10 +4,8 @@ from PyPDF2 import PdfReader
 import base64
 from docx import Document
 
-# Hardcoded API key
 API_KEY = st.secrets["API_KEY"]
 
-# Function to extract text from PDF
 def extract_text_from_pdf(pdf_file):
     reader = PdfReader(pdf_file)
     text = ""
@@ -15,7 +13,6 @@ def extract_text_from_pdf(pdf_file):
         text += page.extract_text()
     return text
 
-# Function to extract text from DOCX
 def extract_text_from_docx(docx_file):
     doc = Document(docx_file)
     text = ""
@@ -23,7 +20,6 @@ def extract_text_from_docx(docx_file):
         text += para.text + "\n"
     return text
 
-# Function to analyze documents using the Gemini API
 def analyze_documents(resume_text, job_description):
     custom_prompt = f"""
     Please analyze the following resume in the context of the job description provided. Strictly check every single line in job description and analyze my resume whether there is a match exactly. Strictly maintain high ATS standards and give scores only to the correct ones. Focus on hard skills which are missing and also soft skills which are missing. Provide the following details.:
@@ -33,7 +29,7 @@ def analyze_documents(resume_text, job_description):
     4. Recommendations on how to add the missing keywords and improve the resume in 3-4 points with examples.
     Please display in the above order don't mention the numbers like 1. 2. etc and strictly follow ATS standards so that analysis will be accurate. Strictly follow the above templates omg. don't keep changing every time.
     Strictly follow the above things and template which has to be displayed and don't keep changing again and again. Don't fucking change the template from above.
-    Title should be Resume analysis and maintain the same title for all. Also if someone uploads the same unchanged resume twice, keep in mind to give the same results, some might do to test you. so if someone does that just display same results. Display new ones only if they have changed their resume according to your suggestions or at least few changes.
+    Title should be Resume analysis and maintain the same title for all. Also if someone uploads the same unchanged resume twice, keep in mind to give the same results. Display new ones only if they have changed their resume according to your suggestions or at least few changes.
     Job Description: {job_description}
 
     Resume: {resume_text}
@@ -49,7 +45,6 @@ def analyze_documents(resume_text, job_description):
     response = requests.post(url, headers=headers, json=data)
     return response.json()
 
-# Function to rephrase text using the Gemini API
 def rephrase_text(text):
     custom_prompt = f"""
     Please rephrase the following text according to ATS standards, including quantifiable measures and improvements where possible, also maintain precise and concise points which will pass ATS screening:
@@ -67,7 +62,6 @@ def rephrase_text(text):
     response = requests.post(url, headers=headers, json=data)
     return response.json()
 
-# Function to display PDF or DOCX in Streamlit
 def display_resume(file):
     file_type = file.name.split('.')[-1].lower()
     if file_type == 'pdf':
@@ -81,14 +75,12 @@ def display_resume(file):
         text = ""
         for para in doc.paragraphs:
             text += para.text + "\n"
-        st.text_area("Resume Content", text, height=400)
+        st.text_area("Parsed Resume Content", text, height=400)
     else:
         st.error("Unsupported file type. Please upload a PDF or DOCX file.")
 
-# Streamlit application
 st.set_page_config(page_title="ATS Resume Evaluation System", layout="wide")
 
-# Sidebar for navigation
 st.sidebar.title("Navigation")
 page = st.sidebar.radio("Go to", ["Resume Analyzer", "Magic Write", "ATS Templates"])
 
@@ -114,17 +106,14 @@ if page == "Resume Analyzer":
                     resume_text = extract_text_from_docx(resume)
                 analysis = analyze_documents(resume_text, job_description)
                 
-                # Extracting and displaying the content
                 if "candidates" in analysis:
                     for candidate in analysis["candidates"]:
                         if "content" in candidate and "parts" in candidate["content"]:
                             for part in candidate["content"]["parts"]:
                                 response_text = part["text"]
                                 
-                                # Display the structured response directly
                                 st.markdown(response_text)
                                 
-                                # Extract match percentage from response text
                                 lines = response_text.split("\n")
                                 for line in lines:
                                     if "match percentage" in line.lower():
@@ -133,7 +122,6 @@ if page == "Resume Analyzer":
                                         match_percentage = int(match_percentage)
                                         break
 
-                                # Display the match percentage as a meter
                                 st.write(f"Your Resume Match Percentage: {match_percentage}%")
                                 st.progress(match_percentage)