Update app.py

app.py

@@ -1,6 +1,6 @@
 import joblib
 from sklearn.preprocessing import StandardScaler
-from flask import Flask,render_template,request
+from flask import Flask,render_template,request, redirect, url_for
 import numpy as np
 import requests
 
@@ -11,19 +11,26 @@ model=joblib.load('crypto.pkl')
 scaler_x=joblib.load('scaler_x.pkl')
 
 @app.route('/')
-def home():
-    try:
-        response = requests.get('https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd', timeout=5) #fetched using  API
-        response.raise_for_status()  # This will raise an HTTPError if status != 200
-        data = response.json()
-        btc_price = data['bitcoin']['usd']
-    except Exception as e:
-        print("Error fetching price:", e)  # This prints error to console
-        btc_price = "Error fetching price"
-    
-    return render_template('home.html', btc_price=btc_price)
+   def home():
+       print("HOME ROUTE ACCESSED!")  # Debug print
+       try:
+           response = requests.get('https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd', timeout=5)
+           response.raise_for_status()
+           data = response.json()
+           btc_price = data['bitcoin']['usd']
+           print(f"BTC Price: {btc_price}")  # Debug print
+       except Exception as e:
+           print("Error fetching price:", e)
+           btc_price = "Error fetching price"
+       
+       print("Rendering home.html")  # Debug print
+       return render_template('home.html', btc_price=btc_price)
+
 
 
+@app.route('/home')
+def startt():
+    return redirect(url_for('home'))  # Redirect to the 'home' function
     
 @app.route('/start')
 def startt():