Update app.py

app.py

@@ -2,11 +2,13 @@ import yfinance as yf
 import pandas as pd
 import requests
 import json
-import time
-import gradio as gr
 import matplotlib.pyplot as plt
+import gradio as gr
 
-# Function to fetch ticker symbol
+
+# -----------------------------
+# Function to get ticker symbol
+# -----------------------------
 def get_ticker_symbol(company_name, api_key):
     search_url = f"https://www.alphavantage.co/query?function=SYMBOL_SEARCH&keywords={company_name}&apikey={api_key}"
     response = requests.get(search_url)
@@ -22,27 +24,36 @@ def get_ticker_symbol(company_name, api_key):
             return None
     return None
 
-# Function to get stock data
+
+# -----------------------------
+# Function to get live stock data
+# -----------------------------
 def get_stock_data(ticker_symbol, api_key):
     url = f"https://www.alphavantage.co/query?function=GLOBAL_QUOTE&symbol={ticker_symbol}&apikey={api_key}"
     response = requests.get(url)
     data = response.json()
     return data.get("Global Quote", {})
 
-# Function for analysis
+
+# -----------------------------
+# Function to analyze stock trends
+# -----------------------------
 def analyze_stock(ticker_symbol):
     data = yf.download(ticker_symbol, start='2020-01-01', end=pd.Timestamp.now().strftime('%Y-%m-%d'))
 
     if data.empty:
-        return "No data found for this ticker.", None
+        return "❌ No historical data found for this ticker.", None
 
+    # Calculate metrics
     data['Daily Returns'] = data['Adj Close'].pct_change()
     avg_vol = data['Volume'].mean()
     volatility = data['Daily Returns'].std()
 
+    # Moving averages
     data['100ma'] = data['Adj Close'].rolling(window=100).mean()
     data['200ma'] = data['Adj Close'].rolling(window=200).mean()
 
+    # Plot chart
     plt.figure(figsize=(10, 5))
     plt.plot(data['Adj Close'], label='Adj Close', color='blue')
     plt.plot(data['100ma'], label='100-Day MA', color='orange')
@@ -55,16 +66,19 @@ def analyze_stock(ticker_symbol):
     plt.close()
 
     summary = (
-        f"**Ticker:** {ticker_symbol}\n\n"
+        f"📊 **Ticker:** {ticker_symbol}\n\n"
         f"**Average Daily Volume:** {avg_vol:,.2f}\n"
         f"**Volatility (Std of Returns):** {volatility:.2%}\n"
     )
 
     return summary, "stock_plot.png"
 
-# Gradio logic
+
+# -----------------------------
+# Combined function for Gradio
+# -----------------------------
 def run_stock_tool(company_name, mode):
-    api_key = "JBQHL6764PCI6125"
+    api_key = "JBQHL6764PCI6125"  # Replace with your own Alpha Vantage API key
     ticker_symbol = get_ticker_symbol(company_name, api_key)
 
     if not ticker_symbol:
@@ -73,7 +87,7 @@ def run_stock_tool(company_name, mode):
     if mode == "Live Stock Data":
         stock_data = get_stock_data(ticker_symbol, api_key)
         if not stock_data:
-            return f"No data available for {ticker_symbol} right now.", None
+            return f"No live data available for {ticker_symbol} right now.", None
 
         last_price = stock_data.get("05. price", "N/A")
         prev_close = stock_data.get("08. previous close", "N/A")
@@ -93,8 +107,11 @@ def run_stock_tool(company_name, mode):
     elif mode == "Stock Analysis":
         return analyze_stock(ticker_symbol)
 
-# Gradio UI
-with gr.Blocks(theme=gr.themes.Soft(), title="📊 Stock Analysis Tool") as app:
+
+# -----------------------------
+# Gradio User Interface
+# -----------------------------
+with gr.Blocks() as app:
     gr.Markdown("# 📈 Stock Analysis Tool\nEasily fetch live stock data or analyze historical trends!")
 
     with gr.Row():