Update app.py

app.py

@@ -4,7 +4,7 @@ from PyPDF2 import PdfReader
 from docx import Document
 
 # Set up API key for Google Generative Language
-API_KEY = st.secrets["GOOGLE_API_KEY"]
+API_KEY = st.secrets["API_KEY"]
 
 def extract_text_from_pdf(pdf_file):
     """Extract text from PDF file."""
@@ -23,15 +23,15 @@ def extract_text_from_docx(docx_file):
     return text
 
 def analyze_documents(resume_text, job_description):
-    """Analyze resume text against the job description."""
     custom_prompt = f"""
-    Please analyze the following resume in the context of the job description provided. 
-    Check every single line in the job description and analyze the resume for an exact match. 
-    Focus on hard skills and soft skills, maintaining high ATS standards. Provide:
-    1. The match percentage of the resume to the job description.
-    2. A list of missing keywords.
-    3. Final thoughts on the resume's overall match in 3 lines.
-    4. Recommendations on how to add missing keywords and improve the resume in 3-4 points.
+    Please analyze the following resume in the context of the job description provided. Strictly check every single line in the 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.:
+    1. The match percentage of the resume to the job description. Display this.
+    2. A list of missing keywords accurate ones.
+    3. Final thoughts on the resume's overall match with the job description in 3 lines.
+    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. 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}
     """
@@ -46,110 +46,69 @@ def analyze_documents(resume_text, job_description):
     response = requests.post(url, headers=headers, json=data)
     return response.json()
 
-def display_resume(file, index):
-    """Display uploaded resume content."""
+def display_resume(file):
     file_type = file.name.split('.')[-1].lower()
-    unique_key = f"{file.name}_{index}"  # Ensure the key is unique by appending an index
     if file_type == 'pdf':
-        text = extract_text_from_pdf(file)
-        st.text_area(f"Parsed Resume Content - {file.name}", text, height=400, key=unique_key)
+        reader = PdfReader(file)
+        text = ""
+        for page in reader.pages:
+            text += page.extract_text()
+        st.text_area("Parsed Resume Content", text, height=400)
     elif file_type == 'docx':
-        text = extract_text_from_docx(file)
-        st.text_area(f"Parsed Resume Content - {file.name}", text, height=400, key=unique_key)
+        doc = Document(file)
+        text = ""
+        for para in doc.paragraphs:
+            text += para.text + "\n"
+        st.text_area("Parsed Resume Content", text, height=400)
     else:
-        st.error(f"Unsupported file type for {file.name}. Please upload a PDF or DOCX file.")
+        st.error("Unsupported file type. Please upload a PDF or DOCX file.")
 
-def extract_full_analysis(response):
-    """Extract the full analysis (match percentage, missing keywords, etc.) from the API response."""
-    try:
-        # Get the analysis content from the API response
-        analysis_content = response.get("choices", [{}])[0].get("text", "")
-        
-        # Regex to extract the match percentage, missing keywords, final thoughts, and recommendations
-        match_percentage = re.search(r"Match Percentage:.*?([a-zA-Z0-9\s\-\(\)<>\d]+%)", analysis_content)
-        missing_keywords = re.search(r"Missing Keywords:([\s\S]*?)(?=\n\n|Final Thoughts)", analysis_content)
-        final_thoughts = re.search(r"Final Thoughts:\n\n([\s\S]*?)(?=\n\n|Recommendations)", analysis_content)
-        recommendations = re.search(r"Recommendations:\n\n([\s\S]*?)(?=\n\n|$)", analysis_content)
+st.set_page_config(page_title="ATS Resume Evaluation System", layout="wide")
 
-        # Extracted content
-        match_percentage = match_percentage.group(1) if match_percentage else "Match Percentage: N/A"
-        missing_keywords = missing_keywords.group(1).strip() if missing_keywords else "No missing keywords identified."
-        final_thoughts = final_thoughts.group(1).strip() if final_thoughts else "No final thoughts provided."
-        recommendations = recommendations.group(1).strip() if recommendations else "No recommendations provided."
+st.sidebar.title("Navigation")
+page = st.sidebar.radio("Go to", ["Resume Analyzer"])
 
-        return {
-            "match_percentage": match_percentage,
-            "missing_keywords": missing_keywords,
-            "final_thoughts": final_thoughts,
-            "recommendations": recommendations
-        }
-    
-    except Exception as e:
-        st.error(f"Error extracting analysis: {str(e)}")
-        return {
-            "match_percentage": "Match Percentage: N/A",
-            "missing_keywords": "Error extracting missing keywords.",
-            "final_thoughts": "Error extracting final thoughts.",
-            "recommendations": "Error extracting recommendations."
-        }
+if page == "Resume Analyzer":
+    st.title("📄🔍 ATS Resume Evaluation System")
+    st.write("Welcome to the ATS Resume Evaluation System! Upload your resume and enter the job description to get a detailed evaluation of your resume's match with the job requirements.")
 
-def analyze_multiple_resumes(resumes, job_description):
-    """Analyze multiple resumes and display the results."""
-    
-    for index, resume in enumerate(resumes):
-        resume.seek(0)  # Reset file pointer
-        file_type = resume.name.split('.')[-1].lower()
-        
-        # Extract resume text based on file type
-        if file_type == 'pdf':
-            text = extract_text_from_pdf(resume)  # Use PyMuPDF
-        elif file_type == 'docx':
-            text = extract_text_from_docx(resume)
-        
-        # Analyze the resume once
-        analysis = analyze_documents(text, job_description)
-        full_analysis = extract_full_analysis(analysis)
-        
-        # Display the full analysis result
-        st.write(f"### Match Percentage: {full_analysis['match_percentage']}")
-        st.write(f"### Missing Keywords: {full_analysis['missing_keywords']}")
-        st.write(f"### Final Thoughts:\n{full_analysis['final_thoughts']}")
-        st.write(f"### Recommendations:\n{full_analysis['recommendations']}")
+    job_description = st.text_area("Job Description:")
+    resumes = st.file_uploader("Upload your resumes (PDF or DOCX)", type=["pdf", "docx"], accept_multiple_files=True)
 
-# Streamlit app configuration
-st.set_page_config(page_title="ATS Resume Evaluation System", layout="wide")
+    if resumes:
+        st.write("Uploaded Resumes:")
+        for resume in resumes:
+            st.write(f"📄 {resume.name}")
+            display_resume(resume)
 
-# Header Section
-st.markdown(
-    """
-    <style>
-    .title {text-align: center; font-size: 36px; font-weight: bold; color: #4CAF50;}
-    .subtitle {text-align: center; font-size: 18px; color: #6c757d;}
-    </style>
-    """, unsafe_allow_html=True
-)
-st.markdown('<div class="title">📝🔍🌟 ATS Resume Evaluation System</div>', unsafe_allow_html=True)
-st.markdown('<div class="subtitle">Upload up to 10 resumes and analyze them against the job description</div>', unsafe_allow_html=True)
+    if st.button("Analyze Resumes"):
+        if job_description and resumes:
+            if len(resumes) <= 10:  # Limit to a maximum of 10 resumes
+                with st.spinner("Analyzing..."):
+                    for resume in resumes:
+                        resume.seek(0)  # Reset the file pointer
+                        file_type = resume.name.split('.')[-1].lower()
 
-# Inputs: Job description and multiple resume file uploads
-st.sidebar.header("Upload Your Inputs")
-job_description = st.sidebar.text_area("Enter the Job Description:", height=250)
-resumes = st.sidebar.file_uploader("Upload Your Resumes (PDF or DOCX)", type=["pdf", "docx"], accept_multiple_files=True)
+                        # Extract resume text based on file type
+                        if file_type == 'pdf':
+                            resume_text = extract_text_from_pdf(resume)
+                        elif file_type == 'docx':
+                            resume_text = extract_text_from_docx(resume)
 
-# Display uploaded resume content
-if resumes:
-    for index, resume in enumerate(resumes):
-        with st.expander(f"📄 Uploaded Resume Content - {resume.name}", expanded=True):
-            st.write("### Extracted Text from Resume")
-            display_resume(resume, index)
+                        # Analyze the resume text
+                        analysis = analyze_documents(resume_text, job_description)
+                        
+                        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 analysis results
+                                        st.markdown(response_text)
 
-# Analyze button
-if st.sidebar.button("Analyze Resumes"):
-    if job_description and resumes:
-        if len(resumes) <= 10:  # Limit to a maximum of 10 resumes
-            with st.spinner("Analyzing..."):
-                analyze_multiple_resumes(resumes, job_description)
+                st.success("Analysis Complete!")
+            else:
+                st.error("You can upload a maximum of 10 resumes.")
         else:
-            st.error("You can upload a maximum of 10 resumes.")
-    else:
-        st.error("Please provide both a job description and at least one resume file.")
+            st.error("Please enter the job description and upload at least one resume.")