shove chat history into sqlite3

app.py

@@ -5,12 +5,36 @@ import eventlet
 
 import openai
 
+openai.api_key = "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"
+
 import markdown
 
 app = Flask(__name__)
 app.config['SECRET_KEY'] = 'your_secret_key'
 socketio = SocketIO(app, async_mode='eventlet')
 
+
+from flask_sqlalchemy import SQLAlchemy
+app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///chat.db'
+app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
+db = SQLAlchemy(app)
+
+
+class Message(db.Model):
+    id = db.Column(db.Integer, primary_key=True)
+    username = db.Column(db.String(128), nullable=False)
+    content = db.Column(db.String(1024), nullable=False)
+    room = db.Column(db.String(128), nullable=False)
+
+    def __init__(self, username, content, room):
+        self.username = username
+        self.content = content
+        self.room = room
+
+# Create the database and tables
+#with app.app_context():
+#    db.create_all()
+
 @app.route('/')
 def index():
     return render_template('index.html')
@@ -23,13 +47,31 @@ def chat(room):
 def on_join(data):
     room = data['room']
     join_room(room)
+
+    # Fetch previous messages from the database
+    previous_messages = Message.query.filter_by(room=room).all()
+
+    for message in previous_messages:
+        emit(
+            'previous_messages',
+            {'username': message.username, 'message': message.content},
+            room=request.sid
+        )
+
     emit('message', f"{data['username']} has joined the room.", room=room)
 
 @socketio.on('message')
 def handle_message(data):
+    # Save the message to the database
+    new_message = Message(username=data['username'], content=data['message'], room=data['room'])
+    db.session.add(new_message)
+    db.session.commit()
+
     emit('message', f"{data['username']}: {data['message']}", room=data['room'])
 
-    openai.api_key = "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"
+    # Emit a temporary message indicating that GPT is processing
+    emit('message', f"<span id='processing'>Processing...</span>", room=data['room'])
+
 
     # Call the chat_gpt function without blocking using eventlet.spawn
     eventlet.spawn(chat_gpt, data['username'], data['room'], data['message'])
@@ -48,9 +90,17 @@ def chat_gpt(username, room, message):
     # Convert response_text to Markdown
     response_md = markdown.markdown(response_text, extensions=['fenced_code'])
 
+    # Save ChatGPT's response in the database
+    with app.app_context():
+        chatgpt_response_message = Message(username="GPT-3.5", content=response_md, room=room)
+        db.session.add(chatgpt_response_message)
+        db.session.commit()
+
+    socketio.emit('delete_processing_message', "", room=room)
+
     # Emit the response to the room
     socketio.emit('message', f"{username} (GPT-3.5): {response_md}", room=room)
 
 if __name__ == '__main__':
-    socketio.run(app, host='0.0.0.0', port=5000)
+    socketio.run(app, host='0.0.0.0', port=5001)