Update app.py

app.py

@@ -14,10 +14,10 @@ GROQ_ENDPOINT = "https://api.groq.com/openai/v1/chat/completions"
 GROQ_MODEL = "llama-3.3-70b-versatile"
 
 # ------------------------------------------------------------------------------
-# 🔥 ADVANCED API CALL FUNCTION
+# 🔥 API HANDLER FOR GROQ AI
 # ------------------------------------------------------------------------------
 def call_groq_api(messages, temperature=0.7):
-    """Handles API calls to Groq for chat-based completions with robust error handling."""
+    """Handles API calls to Groq's Llama 3.3 model with robust error handling."""
     headers = {
         "Authorization": f"Bearer {GROQ_API_KEY}",
         "Content-Type": "application/json"
@@ -40,7 +40,7 @@ def call_groq_api(messages, temperature=0.7):
 # 📄 FILE PROCESSING (PDF / DOCX)
 # ------------------------------------------------------------------------------
 def extract_resume_text(file_obj):
-    """Extracts text from PDF or DOCX resumes."""
+    """Extracts text from uploaded resumes (PDF, DOCX, TXT)."""
     file_bytes = file_obj.read()
     file_obj.seek(0)
     ext = os.path.splitext(file_obj.name)[-1].lower()
@@ -53,40 +53,10 @@ def extract_resume_text(file_obj):
         return file_bytes.decode("utf-8", errors="ignore")
 
 # ------------------------------------------------------------------------------
-# 🎯 AI-Powered Resume Parsing
-# ------------------------------------------------------------------------------
-def parse_resume(resume_text):
-    """Extracts structured JSON resume details using Groq's Llama 3.3 model."""
-    messages = [
-        {"role": "system", "content": "You are a resume parsing expert. Extract structured data."},
-        {"role": "user", "content": f"Extract structured data from this resume:\n{resume_text}\n\nOutput as JSON."}
-    ]
-    return call_groq_api(messages, temperature=0.4)
-
-# ------------------------------------------------------------------------------
-# ✍️ AI-Powered Cover Letter Generator
-# ------------------------------------------------------------------------------
-def generate_cover_letter(candidate_json, job_description):
-    """Generates a professional cover letter using structured candidate data."""
-    date_str = datetime.today().strftime("%d - %b - %Y")
-    messages = [
-        {"role": "system", "content": "You are a top-tier career advisor. Write persuasive cover letters."},
-        {"role": "user", "content": f"""
-        Generate a professional cover letter using:
-        - Candidate Profile: {candidate_json}
-        - Job Description: {job_description}
-        - Date: {date_str}
-        
-        The cover letter should be engaging, personalized, and formatted professionally.
-        """}
-    ]
-    return call_groq_api(messages, temperature=0.5)
-
-# ------------------------------------------------------------------------------
-# 📜 AI-Powered Resume Creator
+# 🎯 AI-POWERED RESUME GENERATION
 # ------------------------------------------------------------------------------
 def generate_resume(first_name, last_name, location, work_experience, school_experience, skills):
-    """Generates a well-formatted professional resume."""
+    """Generates a structured, ATS-friendly resume."""
     candidate_data = json.dumps({
         "first_name": first_name,
         "last_name": last_name,
@@ -97,31 +67,51 @@ def generate_resume(first_name, last_name, location, work_experience, school_exp
     }, indent=2)
 
     messages = [
-        {"role": "system", "content": "You are a professional resume writer."},
+        {"role": "system", "content": "You are a professional resume writer specializing in ATS optimization."},
         {"role": "user", "content": f"""
-        Create a structured, ATS-friendly resume using:
+        Generate a **highly professional**, **ATS-optimized resume** using the following structured information:
         {candidate_data}
-
-        Ensure:
-        - Clear sections (Personal Info, Experience, Education, Skills)
-        - Professional formatting
-        - A compelling summary if possible.
+        
+        - Ensure proper formatting: Name, Contact, Summary, Experience, Education, Skills, Certifications.
+        - Use industry best practices.
+        - Format each job with measurable achievements.
         """}
     ]
     return call_groq_api(messages, temperature=0.5)
 
+# ------------------------------------------------------------------------------
+# ✍️ AI-POWERED COVER LETTER GENERATION
+# ------------------------------------------------------------------------------
+def generate_cover_letter(candidate_json, job_description):
+    """Generates a compelling cover letter using structured candidate details."""
+    date_str = datetime.today().strftime("%d - %b - %Y")
+    messages = [
+        {"role": "system", "content": "You are a top-tier career advisor. Write highly persuasive cover letters."},
+        {"role": "user", "content": f"""
+        Generate a **professional cover letter** using:
+        - Candidate Profile: {candidate_json}
+        - Job Description: {job_description}
+        - Date: {date_str}
+        
+        - Ensure **persuasion**, **tailored content**, and **measurable achievements**.
+        - Format: **Introduction, Key Skills, Experience Alignment, Closing**.
+        """}
+    ]
+    return call_groq_api(messages, temperature=0.6)
+
 # ------------------------------------------------------------------------------
 # 🎨 STREAMLIT UI DESIGN
 # ------------------------------------------------------------------------------
-st.set_page_config(page_title="AI-Powered Job Assistant", layout="wide")
+st.set_page_config(page_title="AI Resume & Cover Letter Generator", layout="wide")
 st.title("🚀 AI-Powered Resume & Cover Letter Generator")
-st.markdown("#### Generate a **Resume** or a **Cover Letter** using **Llama 3.3-70B** powered by **Groq AI**.")
+st.markdown("### Create a **perfect ATS-friendly Resume** and **tailored Cover Letter** using **Groq AI (Llama 3.3-70B)**")
 
 tabs = st.tabs(["📄 Cover Letter Generator", "📑 Resume Creator"])
 
 # ----- COVER LETTER GENERATOR -----
 with tabs[0]:
     st.header("📄 Cover Letter Generator")
+    
     resume_file = st.file_uploader("Upload Your Resume", type=["pdf", "docx", "txt"])
     job_description = st.text_area("Paste Job Description", height=200)
 
@@ -129,7 +119,7 @@ with tabs[0]:
         if resume_file and job_description.strip():
             with st.spinner("✨ Processing resume..."):
                 resume_text = extract_resume_text(resume_file)
-                candidate_json = parse_resume(resume_text)
+                candidate_json = generate_resume("First", "Last", "Houston, TX", "Experience", "Education", "Skills")
                 cover_letter = generate_cover_letter(candidate_json, job_description)
             st.success("✅ Cover Letter Generated!")
             st.text_area("📜 Your Cover Letter:", cover_letter, height=300)