Update app.py

app.py

@@ -4,6 +4,7 @@ import yfinance as yf
 import plotly.express as px
 import pandas as pd
 from datetime import datetime
+import feedparser
 
 # ---------- LLM Setup ----------
 client = InferenceClient("microsoft/phi-4")
@@ -51,7 +52,7 @@ class Investment_Simulator:
     
     def update_portfolio_history(self):
         now = datetime.now()
-        total_value = compute_portfolio_value(self)
+        total_value = compute_portfolio_value()
         self.portfolio_history.append((now, total_value))
     
     def plot_portfolio_value(self):
@@ -79,7 +80,7 @@ class Investment_Simulator:
                 self.portfolio["cash"] -= amount
                 self.portfolio["stocks"][ticker] = self.portfolio["stocks"].get(ticker, 0) + qty
                 self.history.append(f"🟢 Bought £{amount} of {ticker} ({qty} shares at £{price:.2f})")
-                update_portfolio_history(self)
+                update_portfolio_history()
                 return f"✅ Bought {qty} shares of {ticker} at £{price:.2f}"
     
             elif "sell" in user_input:
@@ -95,7 +96,7 @@ class Investment_Simulator:
                 self.portfolio["stocks"][ticker] -= qty_to_sell
                 self.portfolio["cash"] += amount
                 self.history.append(f"🔴 Sold £{amount} of {ticker} ({qty_to_sell} shares at £{price:.2f})")
-                update_portfolio_history(self)
+                update_portfolio_history()
                 return f"✅ Sold {qty_to_sell} shares of {ticker} at £{price:.2f}"
     
             elif "portfolio" in user_input:
@@ -122,7 +123,7 @@ class Investment_Simulator:
                 self.portfolio["stocks"].clear()
                 self.history.clear()
                 self.portfolio_history.clear()
-                update_portfolio_history(self)
+                update_portfolio_history()
                 return "🔁 Portfolio reset."
     
             else:
@@ -132,11 +133,52 @@ class Investment_Simulator:
             return f"⚠️ Error: {e}"
 
     def run_all(self, text):
-        response = process_input(text)
-        fig = plot_portfolio_value(self)
+        response = process_input()
+        fig = plot_portfolio_value()
         return response, fig
     
-    update_portfolio_history(self)
+    update_portfolio_history()
+
+
+class News:
+    def __init__(self):
+        pass
+    
+    def get_news(self, tickers):
+        ticker_list = [t.strip().upper() for t in tickers.split(",")]
+    
+        market_url = "https://finance.yahoo.com/rss/topstories"
+        market_feed = feedparser.parse(market_url)
+    
+        result = "## General Market News\n"
+        if market_feed.entries:
+            for entry in market_feed.entries[:5]:
+                result += f"**{entry.title}**\n{entry.link}\n{entry.published}\n\n"
+        else:
+            result += "_No general market news found_\n\n"
+    
+        for ticker in ticker_list:
+            rss_url = f"https://feeds.finance.yahoo.com/rss/2.0/headline?s={ticker}&region=US&lang=en-US"
+            feed = feedparser.parse(rss_url)
+    
+            result += f"## News for {ticker}\n"
+            if feed.entries:
+                for entry in feed.entries[:5]:
+                    result += f"**{entry.title}**\n{entry.link}\n{entry.published}\n\n"
+            else:
+                result += "_No news found_\n\n"
+            
+        return result
+    
+    iface = gr.Interface(
+        fn=get_news,
+        inputs=gr.Textbox(label="Enter stock tickers (comma-separated, e.g., AAPL, TSLA, MSFT)"),
+        outputs=gr.Markdown(),
+        title="Stock and Market News",
+        description="Get the latest Yahoo Finance news for the general market and specific stocks."
+    )
+    
+    iface.launch()
 
 # ---------- UI Layout ----------
 custom_css = """
@@ -212,7 +254,7 @@ with gr.Blocks(css=custom_css) as demo:
 
             Zeno_Investments = gr.Column(visible=False, elem_id="Investments")
             with Zeno_Investments:
-                gr.Markdown("## 💷 Live Investment Simulator (Practice £500) + Portfolio Tracker")
+                gr.Markdown("## Live Investment Simulator (Practice £500) + Portfolio Tracker")
                 
                 simulator = Investment_Simulator(portfolio=None, history=None, portfolio_history=None)
                 
@@ -222,6 +264,12 @@ with gr.Blocks(css=custom_css) as demo:
                 
                 invest_input.submit(run_all, inputs=invest_input, outputs=[invest_output, invest_chart])
 
+            Zeno_News = gr.Column(visible=False, elem_id="Stock and Market News")
+            with Zeno_News:
+                gr.Markdown("## Up To Date Stock and Market News")
+                zeno_news = News()
+
+                
     def handle_first_input(msg):
         return gr.update(visible=False), gr.update(visible=True), msg, []