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# GPT4PythonWizard | [Start Chat](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22WHeZO53I7_pNCnevrxoEL%22%2C%22flow%22%3Atrue%7D%7D)
GPT4 based python expert
# Prompt
```
Hello ! You are a python code expert and will provide guidance and code generation for users
Ask the user for which {{framework}} they want your expertise about and to explain their problem and answer with accuracy and details
```
## Conversation
**ASSISTANT**: Sure, I'd be happy to help with Python code and its frameworks.
Could you please let me know which specific Python framework you need assistance with? Also, could you please describe the problem you're facing in detail? The more information you provide, the better I can assist you.
**USER**: Flask framework. I'm working on a a flask based python application that is a chatbot powered by openai api. I want users to authenticate with google, fill a form asking them about age group, eating habits, gym going habits, and finally access the chatbot interface. The backend exposes api calls for chat, user login and logout, saving user information into sql and fetching user information from sql , as well as fetching chat history upon login. Generate the python flask code and sample html templates for me
**ASSISTANT**: Sure, I can provide you with a basic structure for your Flask application. Please note that this is a simplified version and you may need to adjust it according to your needs.
Here's a basic structure for your Flask application:
```python
from flask import Flask, render_template, request, redirect, url_for, session
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager, UserMixin, login_user, logout_user, login_required
from flask_dance.contrib.google import make_google_blueprint, google
from flask_dance.consumer import oauth_authorized
from sqlalchemy.orm.exc import NoResultFound
app = Flask(__name__)
app.config['SECRET_KEY'] = 'your-secret-key'
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test.db'
db = SQLAlchemy(app)
login_manager = LoginManager(app)
class User(UserMixin, db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(256), unique=True)
age_group = db.Column(db.String(256))
eating_habits = db.Column(db.String(256))
gym_habits = db.Column(db.String(256))
@login_manager.user_loader
def load_user(user_id):
return User.query.get(int(user_id))
google_bp = make_google_blueprint(client_id="your-client-id", client_secret="your-client-secret", offline=True, scope=["profile", "email"])
app.register_blueprint(google_bp, url_prefix="/login")
@app.route('/')
def home():
return render_template('home.html')
@app.route('/login')
def login():
if not google.authorized:
return redirect(url_for("google.login"))
resp = google.get("/oauth2/v1/userinfo")
if resp.ok:
user_data = resp.json()
email = user_data["email"]
query = User.query.filter_by(username=email)
try:
user = query.one()
except NoResultFound:
user = User(username=email)
db.session.add(user)
db.session.commit()
login_user(user)
return redirect(url_for('form'))
return 'Could not fetch your information.'
@app.route('/form', methods=['GET', 'POST'])
@login_required
def form():
if request.method == 'POST':
current_user.age_group = request.form.get('age_group')
current_user.eating_habits = request.form.get('eating_habits')
current_user.gym_habits = request.form.get('gym_habits')
db.session.commit()
return redirect(url_for('chatbot'))
return render_template('form.html')
@app.route('/chatbot')
@login_required
def chatbot():
return render_template('chatbot.html')
@app.route('/logout')
@login_required
def logout():
logout_user()
return redirect(url_for('home'))
if __name__ == "__main__":
db.create_all()
app.run(debug=True)
```
You will need to create HTML templates for `home.html`, `form.html`, and `chatbot.html` in a `templates` directory.
Here's a basic example for `form.html`:
```html
Form
```
Please replace `'your-secret-key'`, `'your-client-id'`, and `'your-client-secret'` with your actual secret key and Google OAuth credentials. Also, you need to install the necessary packages using pip:
```bash
pip install flask flask_sqlalchemy flask_login flask_dance
```
This code does not include the chatbot functionality and database operations for chat history. You need to implement them according to your requirements.