modified Dockerfile readme.md and app.py

Dockerfile

@@ -18,5 +18,5 @@ RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
 COPY --chown=user . /app
 
-# Run with gunicorn, optimized for single-core container
-CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers=1", "--timeout=120", "--keepalive", "2", "--max-requests", "1000", "--max-requests-jitter", "50", "app:app"]
+# Run with gunicorn using config file
+CMD ["gunicorn", "--config", "gunicorn_config.py", "app:app"]

README.md

@@ -9,4 +9,60 @@ license: mit
 short_description: An AI resume builder
 ---
 
+# Resume Builder
+
+An AI-powered resume builder application that allows users to create professional resumes with multiple format exports.
+
+## Features
+
+- User authentication with email/password and GitHub OAuth
+- AI-powered profile summary generation using OpenAI
+- Multiple resume sections: Introduction, Work Experience, Projects, Education, Skills, Achievements
+- Export resumes in Word (.docx) and PDF formats
+- Admin panel for user management
+- Responsive design with Bootstrap
+
+## Hugging Face Deployment
+
+This app is configured to run on Hugging Face Spaces with Docker.
+
+### Required Environment Variables
+
+Set these in your Space settings:
+
+- `SECRET_KEY` - Flask secret key
+- `DATABASE_URL` - PostgreSQL connection string (using Neon)
+- `SQLALCHEMY_DATABASE_URI` - Same as DATABASE_URL
+- `GITHUB_CLIENT_ID` - GitHub OAuth client ID
+- `GITHUB_CLIENT_SECRET` - GitHub OAuth client secret
+- `GITHUB_OAUTH_BACKEND_REDIRECT` - OAuth redirect URL
+- `ADMIN_EMAIL` - Admin user email
+- `OPENAI_API_KEY` - OpenAI API key for AI features
+- `OPENAI_MODEL` - OpenAI model (default: gpt-4o)
+
+### Setup Instructions
+
+1. Create a Neon PostgreSQL database
+2. Set all environment variables in Space settings
+3. The app will automatically create tables on first run
+4. GitHub OAuth app should be configured with callback URL:
+   `https://your-space-name.huggingface.space/api/auth/github/callback`
+
+## Local Development
+
+1. Copy `.env.example` to `.env`
+2. Fill in your environment variables
+3. Install dependencies: `pip install -r requirements.txt`
+4. Create tables: `python create_tables.py`
+5. Run app: `python app.py`
+
+## Tech Stack
+
+- Backend: Flask, SQLAlchemy, PostgreSQL
+- Frontend: HTML, CSS, JavaScript, Bootstrap
+- Authentication: Flask-Login, OAuth
+- AI: OpenAI GPT
+- PDF Generation: ReportLab
+- Deployment: Docker, Gunicorn
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1479,10 +1479,9 @@ def create_tables_if_needed():
             except Exception as e:
                 print(f"Migration error: {e}")
 
-# Initialize database
-create_tables_if_needed()
-
+# Initialize database only when running directly, not when imported
 if __name__ == "__main__":
+    create_tables_if_needed()
     port = int(os.environ.get('PORT', 5000))
     # Railway requires binding to 0.0.0.0
     # Check if we're running on Railway

gunicorn_config.py

@@ -0,0 +1,60 @@
+import multiprocessing
+import os
+from app import create_tables_if_needed
+
+# Server socket
+bind = "0.0.0.0:7860"
+
+# Worker processes
+workers = 1
+worker_class = "sync"
+worker_connections = 1000
+
+# Timeout
+timeout = 120
+keepalive = 2
+
+# Max requests
+max_requests = 1000
+max_requests_jitter = 50
+
+# Logging
+accesslog = "-"
+errorlog = "-"
+loglevel = "info"
+
+# Process name
+proc_name = "resumebuilder"
+
+# Preload app - this ensures database initialization happens once
+preload_app = True
+
+# Hook function to run after app is loaded
+def on_starting(server):
+    """Called when gunicorn starts"""
+    pass
+
+def when_ready(server):
+    """Called when gunicorn is ready"""
+    # Initialize database tables when ready
+    try:
+        print("Initializing database tables...")
+        create_tables_if_needed()
+        print("Database initialization completed")
+    except Exception as e:
+        print(f"Database initialization error: {e}")
+
+def on_reload(server):
+    """Called when gunicorn reloads"""
+    pass
+
+# Environment variables
+raw_env = [
+    "PORT=7860",
+    "PYTHONUNBUFFERED=1",
+]
+
+# Security
+limit_request_line = 4096
+limit_request_fields = 100
+limit_request_field_size = 8190