Update app.py

app.py

@@ -32,7 +32,7 @@ class Investment_Simulator:
         self.history = []
         self.portfolio_history = []
     
-    def get_price(ticker):
+    def get_price(self, ticker):
         try:
             data = yf.Ticker(ticker)
             todays_data = data.history(period='1d', interval='1m')
@@ -41,7 +41,7 @@ class Investment_Simulator:
         except:
             return None
     
-    def compute_portfolio_value():
+    def compute_portfolio_value(self):
         total_stock_value = 0.0
         for ticker, qty in self.portfolio["stocks"].items():
             price = get_price(ticker)
@@ -49,12 +49,12 @@ class Investment_Simulator:
                 total_stock_value += qty * price
         return self.portfolio["cash"] + total_stock_value
     
-    def update_portfolio_history():
+    def update_portfolio_history(self):
         now = datetime.now()
         total_value = compute_portfolio_value()
         self.portfolio_history.append((now, total_value))
     
-    def plot_portfolio_value():
+    def plot_portfolio_value(self):
         if not self.portfolio_history:
             return None
         df = pd.DataFrame(self.portfolio_history, columns=["Time", "Value"])
@@ -62,7 +62,7 @@ class Investment_Simulator:
         fig.update_layout(xaxis_rangeslider_visible=True)
         return fig
 
-    def process_input(user_input):
+    def process_input(self, user_input):
         #global self.portfolio, self.history
         user_input = user_input.lower()
     
@@ -131,7 +131,7 @@ class Investment_Simulator:
         except Exception as e:
             return f"⚠️ Error: {e}"
 
-    def run_all(text):
+    def run_all(self, text):
         response = process_input(text)
         fig = plot_portfolio_value()
         return response, fig