Create app.py

app.py

@@ -0,0 +1,158 @@
+import streamlit as st
+import google.generativeai as genai
+from github import Github
+import os
+from dotenv import load_dotenv
+
+# --- CONFIG & SETUP ---
+st.set_page_config(page_title="DevResume AI", layout="wide", page_icon="🚀")
+
+# Load Keys (Cloud or Local)
+api_key = os.getenv("GEMINI_API_KEY")
+github_token = os.getenv("GITHUB_TOKEN")
+
+# Fallback for local testing
+if not api_key:
+    load_dotenv()
+    api_key = os.getenv("GEMINI_API_KEY")
+    github_token = os.getenv("GITHUB_TOKEN")
+
+# --- ENGINE 1: GITHUB CRAWLER ---
+def fetch_github_data(username):
+    """
+    SOTA Scraper: Fetches top repos, stars, languages, and README summaries.
+    """
+    try:
+        # Auth guarantees higher rate limits
+        g = Github(github_token) if github_token else Github()
+        user = g.get_user(username)
+        
+        data = {
+            "name": user.name or username,
+            "bio": user.bio or "AI & Software Engineer",
+            "url": user.html_url,
+            "repos": []
+        }
+        
+        # Sort repos by Stars (Metric of Impact)
+        repos = user.get_repos()
+        sorted_repos = sorted(repos, key=lambda x: x.stargazers_count, reverse=True)[:6]
+        
+        for repo in sorted_repos:
+            # Skip forked repos to focus on original work
+            if repo.fork:
+                continue
+                
+            # Smart README Fetcher
+            readme_text = "No details provided."
+            try:
+                readme = repo.get_readme()
+                if readme.decoded_content:
+                    readme_text = readme.decoded_content.decode("utf-8")[:1500] # Context Window Optimization
+            except:
+                pass
+
+            data["repos"].append({
+                "name": repo.name,
+                "stars": repo.stargazers_count,
+                "lang": repo.language,
+                "desc": repo.description,
+                "readme": readme_text
+            })
+            
+        return data
+    except Exception as e:
+        return {"error": f"GitHub API Error: {str(e)}"}
+
+# --- ENGINE 2: GEMINI RESUME ARCHITECT ---
+def generate_resume_content(profile, target_role):
+    genai.configure(api_key=api_key)
+    
+    # Try SOTA Model first
+    try:
+        model = genai.GenerativeModel('gemini-2.5-flash')
+    except:
+        model = genai.GenerativeModel('gemini-1.5-flash')
+
+    # Context Construction
+    repo_context = ""
+    for r in profile['repos']:
+        repo_context += f"""
+        - PROJECT: {r['name']} ({r['stars']} Stars, {r['lang']})
+          DESCRIPTION: {r['desc']}
+          TECHNICAL CONTEXT: {r['readme']}
+        """
+
+    prompt = f"""
+    You are a Senior Technical Recruiter for a FAANG company.
+    
+    CANDIDATE: {profile['name']}
+    ROLE: {target_role}
+    
+    TASK:
+    Write the "Featured Projects" section of a resume based on their GitHub code.
+    
+    RULES:
+    1. Select the top 3 most technically impressive projects.
+    2. Write 3 bullet points for each project.
+    3. STRICTLY use the "XYZ Pattern" (Accomplished [X] as measured by [Y], by doing [Z]).
+    4. Quantify impact where possible (e.g., "Reduced latency by...", "Processed 10k+ requests...").
+    5. Highlight stack: Python, PyTorch, FastAPI, Docker, etc.
+    
+    INPUT DATA (GitHub Scrape):
+    {repo_context}
+    
+    OUTPUT FORMAT (Markdown):
+    ## 🚀 Featured Projects
+    
+    **[Project Name]** | *[Languages/Tools]*
+    * [Bullet 1 using XYZ pattern]
+    * [Bullet 2 using XYZ pattern]
+    * [Bullet 3 using XYZ pattern]
+    """
+    
+    try:
+        response = model.generate_content(prompt)
+        return response.text
+    except Exception as e:
+        return f"AI Generation Error: {str(e)}"
+
+# --- UI LAYER ---
+with st.sidebar:
+    st.title("🚀 DevResume AI")
+    st.markdown("Turns your **GitHub Code** into a **Senior Resume** instantly.")
+    st.info("Powered by **Gemini 2.5** & **PyGithub**")
+    st.caption("Built by Owadokun Tosin Tobi")
+
+st.title("👨‍💻 GitHub-to-Resume Generator")
+st.markdown("Stop writing generic bullets. Let AI analyze your actual code and write high-impact XYZ statements.")
+
+col1, col2 = st.columns([1, 2])
+
+with col1:
+    gh_user = st.text_input("GitHub Username", placeholder="eatosin")
+    role = st.text_input("Target Role", value="Senior AI Engineer")
+    generate_btn = st.button("✨ Generate Resume", type="primary")
+
+with col2:
+    if generate_btn:
+        if not gh_user:
+            st.warning("Please enter a username.")
+        else:
+            with st.status("🕷️ Crawling GitHub Ecosystem...", expanded=True) as status:
+                st.write("Connecting to GitHub API...")
+                data = fetch_github_data(gh_user)
+                
+                if "error" in data:
+                    status.update(label="❌ Error", state="error")
+                    st.error(data['error'])
+                else:
+                    st.write(f"✅ Found {len(data['repos'])} repositories.")
+                    st.write("🧠 Analyzing READMEs & Codebase...")
+                    resume = generate_resume_content(data, role)
+                    status.update(label="✅ Resume Generated!", state="complete")
+                    
+                    st.markdown("---")
+                    st.subheader("📄 Generated Project Section")
+                    st.markdown(resume)
+                    st.download_button("📥 Download Markdown", resume, file_name="featured_projects.md")