Create app.py

app.py

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+import os
+import streamlit as st
+import PyPDF2
+import docx
+import google.generativeai as genai
+
+# Configure Gemini API
+GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
+genai.configure(api_key=GEMINI_API_KEY)
+
+# Streamlit Page Setup
+st.set_page_config(page_title="Resume Analyzer & Job Matcher", page_icon="🧠", layout="wide")
+
+# 💅 Custom Styling
+st.markdown("""
+<style>
+body {
+    background-color: #f5f8fa;
+}
+.main-title {
+    font-size: 40px;
+    font-weight: bold;
+    color: #2c3e50;
+    text-align: center;
+    margin-top: 10px;
+}
+.sub-title {
+    font-size: 18px;
+    color: #7f8c8d;
+    text-align: center;
+    margin-bottom: 30px;
+}
+.section-card {
+    background-color: #ffffff;
+    border-radius: 12px;
+    padding: 20px;
+    box-shadow: 0 4px 12px rgba(0,0,0,0.1);
+    margin-top: 20px;
+}
+.success-banner {
+    background: linear-gradient(to right, #27ae60, #2ecc71);
+    color: white;
+    font-size: 16px;
+    padding: 12px;
+    text-align: center;
+    border-radius: 8px;
+    margin-top: 30px;
+}
+</style>
+""", unsafe_allow_html=True)
+
+# 🧠 Titles
+st.markdown('<h1 class="main-title">🧠 Resume Analyzer & Job Matcher</h1>', unsafe_allow_html=True)
+st.markdown('<p class="sub-title">AI-Powered Career Insights from Your Resume</p>', unsafe_allow_html=True)
+
+# 📂 Upload Section
+uploaded_file = st.file_uploader("📄 Upload your Resume (.pdf or .docx)", type=["pdf", "docx"])
+
+# 📄 Resume Text Extraction
+def extract_resume_text(file_path, file_type):
+    text = ""
+    if file_type == "pdf":
+        with open(file_path, "rb") as f:
+            reader = PyPDF2.PdfReader(f)
+            for page in reader.pages:
+                text += page.extract_text() + "\n"
+    elif file_type == "docx":
+        doc = docx.Document(file_path)
+        for para in doc.paragraphs:
+            text += para.text + "\n"
+    return text.strip()
+
+# 🤖 Analyze Resume
+def analyze_resume(text):
+    prompt = f"""
+    You are an AI Resume Consultant. Based on the following resume details:
+    {text}
+    
+    Respond in this format:
+    [Job Roles]
+    - Job Role 1
+    - Job Role 2
+    
+    [Missing Skills]
+    - Skill: Suggestion
+    
+    [Resume Tips]
+    - Tip 1
+    - Tip 2
+    """
+    model = genai.GenerativeModel("gemini-1.5-pro-latest")
+    response = model.generate_content(prompt)
+    return response.text.strip()
+
+# 🧠 Main Logic
+if uploaded_file:
+    file_type = uploaded_file.name.split(".")[-1]
+    file_path = f"temp_resume.{file_type}"
+
+    with open(file_path, "wb") as f:
+        f.write(uploaded_file.read())
+
+    st.success("✅ Resume uploaded successfully!")
+
+    with st.spinner("🔍 Extracting and analyzing your resume..."):
+        resume_text = extract_resume_text(file_path, file_type)
+        if not resume_text:
+            st.error("❌ No text could be extracted. Try uploading a different file.")
+        else:
+            result = analyze_resume(resume_text)
+
+    os.remove(file_path)
+
+    # ✅ Parsed Output
+    if result:
+        st.markdown("### 📌 Results")
+        st.markdown('<div class="section-card">', unsafe_allow_html=True)
+
+        # Tabs for categorized output
+        tab1, tab2, tab3 = st.tabs(["💼 Job Matches", "🔍 Missing Skills", "📝 Resume Tips"])
+        job_roles, skills, tips = "", "", ""
+        if "[Job Roles]" in result:
+            sections = result.split("[")
+            for section in sections:
+                if section.startswith("Job Roles]"):
+                    job_roles = section.replace("Job Roles]", "").strip()
+                elif section.startswith("Missing Skills]"):
+                    skills = section.replace("Missing Skills]", "").strip()
+                elif section.startswith("Resume Tips]"):
+                    tips = section.replace("Resume Tips]", "").strip()
+
+        with tab1:
+            st.markdown("#### 💼 Suitable Job Roles")
+            st.markdown(job_roles or "No job roles found.")
+
+        with tab2:
+            st.markdown("#### 🔍 Missing Skills & Recommendations")
+            st.markdown(skills or "No missing skills found.")
+
+        with tab3:
+            st.markdown("#### 📝 Resume Improvement Tips")
+            st.markdown(tips or "No resume tips provided.")
+
+        st.markdown("</div>", unsafe_allow_html=True)
+        st.markdown('<div class="success-banner">🎯 Resume analyzed! Take the next step in your career. 🚀</div>', unsafe_allow_html=True)
+        st.balloons()
+    else:
+        st.error("⚠ Failed to analyze resume.")