shove chat history into sqlite3
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parent
20053db1d9
commit
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4 changed files with 83 additions and 7 deletions
2
.gitignore
vendored
2
.gitignore
vendored
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@ -1,2 +1,4 @@
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*.swp
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env
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instance/
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__pycache__/
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54
app.py
54
app.py
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@ -5,12 +5,36 @@ import eventlet
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import openai
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openai.api_key = "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"
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import markdown
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app = Flask(__name__)
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app.config['SECRET_KEY'] = 'your_secret_key'
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socketio = SocketIO(app, async_mode='eventlet')
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from flask_sqlalchemy import SQLAlchemy
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app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///chat.db'
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app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
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db = SQLAlchemy(app)
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class Message(db.Model):
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id = db.Column(db.Integer, primary_key=True)
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username = db.Column(db.String(128), nullable=False)
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content = db.Column(db.String(1024), nullable=False)
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room = db.Column(db.String(128), nullable=False)
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def __init__(self, username, content, room):
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self.username = username
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self.content = content
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self.room = room
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# Create the database and tables
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#with app.app_context():
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# db.create_all()
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@app.route('/')
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def index():
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return render_template('index.html')
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@ -23,13 +47,31 @@ def chat(room):
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def on_join(data):
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room = data['room']
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join_room(room)
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# Fetch previous messages from the database
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previous_messages = Message.query.filter_by(room=room).all()
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for message in previous_messages:
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emit(
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'previous_messages',
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{'username': message.username, 'message': message.content},
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room=request.sid
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)
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emit('message', f"{data['username']} has joined the room.", room=room)
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@socketio.on('message')
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def handle_message(data):
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# Save the message to the database
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new_message = Message(username=data['username'], content=data['message'], room=data['room'])
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db.session.add(new_message)
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db.session.commit()
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emit('message', f"{data['username']}: {data['message']}", room=data['room'])
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openai.api_key = "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"
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# Emit a temporary message indicating that GPT is processing
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emit('message', f"<span id='processing'>Processing...</span>", room=data['room'])
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# Call the chat_gpt function without blocking using eventlet.spawn
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eventlet.spawn(chat_gpt, data['username'], data['room'], data['message'])
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@ -48,9 +90,17 @@ def chat_gpt(username, room, message):
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# Convert response_text to Markdown
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response_md = markdown.markdown(response_text, extensions=['fenced_code'])
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# Save ChatGPT's response in the database
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with app.app_context():
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chatgpt_response_message = Message(username="GPT-3.5", content=response_md, room=room)
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db.session.add(chatgpt_response_message)
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db.session.commit()
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socketio.emit('delete_processing_message', "", room=room)
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# Emit the response to the room
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socketio.emit('message', f"{username} (GPT-3.5): {response_md}", room=room)
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if __name__ == '__main__':
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socketio.run(app, host='0.0.0.0', port=5000)
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socketio.run(app, host='0.0.0.0', port=5001)
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@ -4,6 +4,5 @@ eventlet
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openai
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markdown
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# code highlights
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Pygments
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mdx_codehilite
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# sqlite
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Flask-SQLAlchemy
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@ -20,7 +20,7 @@
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flex-direction: column;
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justify-content: center;
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align-items: center;
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height: 100vh;
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height: 75vh;
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margin: 0;
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}
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#chat-container {
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@ -75,8 +75,33 @@
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});
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socket.on('message', (message) => {
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$('#chat').append('<p>' + message + '</p>');
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var newMessage = document.createElement('p');
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newMessage.innerHTML = message;
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$('#chat').append(newMessage);
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// Apply syntax highlighting to the new message
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newMessage.querySelectorAll('pre code').forEach((block) => {
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hljs.highlightElement(block);
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});
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// Scroll to the bottom of the chat container
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$('#chat').scrollTop($('#chat')[0].scrollHeight);
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});
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socket.on('previous_messages', (data) => {
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$('#chat').append('<p>' + data.username + ': ' + data.message + '</p>');
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$('pre code').each((i, block) => {
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hljs.highlightBlock(block);
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});
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});
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socket.on('delete_processing_message', (data) => {
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const tempMessage = document.getElementById("processing");
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if (tempMessage) {
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tempMessage.remove();
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}
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});
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</script>
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</body>
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