Fixed an error

app.py

@@ -1,227 +1,88 @@
-# import streamlit as st
-# import requests
-
-# # Your backend functions
-# def jina(url):
-#     base_url = "https://r.jina.ai/"
-#     url = base_url + url
-#     response = requests.get(url)
-#     return response.text
-
-# def price_cities(url):
-#     text = jina(url)
-#     pos1 = text.find('**')
-#     new = text[:pos1]
-    
-#     twentytwok = new[int(new.find('22K')):int(new.find('24K'))]
-#     value_22k = twentytwok[int(twentytwok.find('\n\n') + 1): int(twentytwok.find('\n\n+'))][3:]
-
-#     twentyfourk = new[int(new.find('24K')):int(new.find('18K'))]
-#     value_24k = twentyfourk[int(twentyfourk.find('\n\n') + 1): int(twentyfourk.find('\n\n+'))][3:]
-
-#     eighteenk = new[int(new.find('18K')):]
-#     value_18k = eighteenk[int(eighteenk.find('\n\n') + 1): int(eighteenk.find('\n\n+'))][3:]
-
-#     return value_22k, value_24k, value_18k
-
-# # City list
-# cities = ['Ahmedabad', 'Ayodhya', 'Bangalore', 'Bhubaneswar', 'Chandigarh', 'Chennai',
-#           'Coimbatore', 'Delhi', 'Hyderabad', 'Jaipur', 'Kerala', 'Kolkata', 'Lucknow',
-#           'Madurai', 'Mangalore', 'Mumbai', 'Mysore', 'Nagpur', 'Nashik', 'Patna',
-#           'Pune', 'Rajkot', 'Salem', 'Surat', 'Trichy', 'Vadodara', 'Vijayawada', 'Visakhapatnam']
-
-# # Streamlit app
-# st.title('Gold Rates in Indian States')
-
-# # Dropdown for selecting the city
-# selected_city = st.selectbox('Select a City', cities)
-
-# # Fetch and display gold rates when a city is selected
-# if selected_city:
-#     city_url = f"https://www.goodreturns.in/gold-rates/{selected_city}.html"
-    
-#     # Fetch the prices using your backend function
-#     try:
-#         x, y, z = price_cities(city_url)
-#         st.write(f"Gold rates in {selected_city}:")
-#         st.write(f"22K Gold: ₹{x}")
-#         st.write(f"24K Gold: ₹{y}")
-#         st.write(f"18K Gold: ₹{z}")
-#     except:
-#         st.error("Could not fetch the gold rates. Please try again.")
-# import streamlit as st
-# import requests
-# import pandas as pd
-
-# # Backend functions
-# def jina(url):
-#     base_url = "https://r.jina.ai/"
-#     url = base_url + url
-#     response = requests.get(url)
-#     return response.text
-
-# def price_cities(url):
-#     text = jina(url)
-#     pos1 = text.find('**')
-#     new = text[:pos1]
-    
-#     twentytwok = new[int(new.find('22K')):int(new.find('24K'))]
-#     value_22k = twentytwok[int(twentytwok.find('\n\n') + 1): int(twentytwok.find('\n\n+'))][3:]
-
-#     twentyfourk = new[int(new.find('24K')):int(new.find('18K'))]
-#     value_24k = twentyfourk[int(twentyfourk.find('\n\n') + 1): int(twentyfourk.find('\n\n+'))][3:]
-
-#     eighteenk = new[int(new.find('18K')):]
-#     value_18k = eighteenk[int(eighteenk.find('\n\n') + 1): int(eighteenk.find('\n\n+'))][3:]
-
-#     return float(value_22k.replace(',', '')), float(value_24k.replace(',', '')), float(value_18k.replace(',', ''))
-
-# # City list
-# cities = ['Ahmedabad', 'Ayodhya', 'Bangalore', 'Bhubaneswar', 'Chandigarh', 'Chennai',
-#           'Coimbatore', 'Delhi', 'Hyderabad', 'Jaipur', 'Kerala', 'Kolkata', 'Lucknow',
-#           'Madurai', 'Mangalore', 'Mumbai', 'Mysore', 'Nagpur', 'Nashik', 'Patna',
-#           'Pune', 'Rajkot', 'Salem', 'Surat', 'Trichy', 'Vadodara', 'Vijayawada', 'Visakhapatnam']
-
-# # Streamlit UI
-# st.set_page_config(page_title="Gold Rates in Indian States", layout="wide")
-
-# # Sidebar with project and developer info
-# st.sidebar.title("Project Info")
-# st.sidebar.write("This project fetches current gold rates for 24K, 22K, and 18K gold from GoodReturns for 28 Indian states. The rates for 1g, 8g, and 10g are displayed.")
-# st.sidebar.write("**Developed by:**")
-# st.sidebar.write("[Srish Rachamalla](https://www.linkedin.com/in/srishrachamalla/)")
-# st.sidebar.write("[Sai Teja Pallerla](https://www.linkedin.com/in/saiteja-pallerla-668734225/)")
-
-# # Dropdown for selecting a city
-# st.title('Gold Rates in Indian States')
-# selected_city = st.selectbox('Select a City', cities)
-
-# Fetch and display gold rates when a city is selected
-# if selected_city:
-#     city_url = f"https://www.goodreturns.in/gold-rates/{selected_city}.html"
-    
-#     try:
-#         # Fetch the gold prices using your backend function
-#         price_22k, price_24k, price_18k = price_cities(city_url)
-        
-#         # Prepare data for table
-#         data = {
-#             'Karat': ['22K', '24K', '18K'],
-#             '1g (₹)': [price_22k, price_24k, price_18k],
-#             '8g (₹)': [price_22k * 8, price_24k * 8, price_18k * 8],
-#             '10g (₹)': [price_22k * 10, price_24k * 10, price_18k * 10]
-#         }
-        
-#         df = pd.DataFrame(data)
-        
-#         # Display the table in a styled format
-#         st.write(f"### Gold rates in {selected_city}:")
-#         st.table(df.style.format({'1g (₹)': '₹{:.2f}', '8g (₹)': '₹{:.2f}', '10g (₹)': '₹{:.2f}'}).background_gradient(cmap='YlOrRd'))
-    
-#     except Exception as e:
-#         st.error(f"Could not fetch the gold rates. Please try again later.{e}")
-import streamlit as st
-import requests
-import pandas as pd
-
-# Your backend functions
-def jina(url):
-    base_url = "https://r.jina.ai/"
-    url = base_url + url
-    response = requests.get(url)
-    return response.text
-
-def price_cities(url):
-    text = jina(url)
-    pos1 = text.find('**')
-    new = text[:pos1]
-
-    twentytwok = new[int(new.find('22K')):int(new.find('24K'))]
-    value_22k = twentytwok[int(twentytwok.find('\n\n') + 1): int(twentytwok.find('\n\n+'))][3:]
-
-    twentyfourk = new[int(new.find('24K')):int(new.find('18K'))]
-    value_24k = twentyfourk[int(twentyfourk.find('\n\n') + 1): int(twentyfourk.find('\n\n+'))][3:]
-
-    eighteenk = new[int(new.find('18K')):]
-    value_18k = eighteenk[int(eighteenk.find('\n\n') + 1): int(eighteenk.find('\n\n+'))][3:]
-
-    return value_24k, value_22k, value_18k
-
-# List of cities
-cities = ['Ahmedabad', 'Ayodhya', 'Bangalore', 'Bhubaneswar', 'Chandigarh', 'Chennai',
-          'Coimbatore', 'Delhi', 'Hyderabad', 'Jaipur', 'Kerala', 'Kolkata', 'Lucknow',
-          'Madurai', 'Mangalore', 'Mumbai', 'Mysore', 'Nagpur', 'Nashik', 'Patna',
-          'Pune', 'Rajkot', 'Salem', 'Surat', 'Trichy', 'Vadodara', 'Vijayawada', 'Visakhapatnam']
-
-# Sidebar content
-st.sidebar.title("About the Project")
-# st.sidebar.write("This project, developed by [Srish Rachamalla](https://www.linkedin.com/in/srishrachamalla/) "
-#                  "and [Sai Teja Pallerla](https://www.linkedin.com/in/saiteja-pallerla-668734225/), "
-#                  "fetches and displays the latest gold rates for different cities in India. "
-#                  "You can view rates for 1g, 8g, and 10g for 22K, 24K, and 18K gold.")
-
-# st.sidebar.write("Use the dropdown to select a city and view the gold rates accordingly.")
-# Sidebar with project and developer info
-# st.sidebar.title("Project Info")
-st.sidebar.write("This project fetches current gold rates for 24K, 22K, and 18K gold from GoodReturns for 28 Indian states. The rates for 1g, 8g, and 10g are displayed.")
-st.sidebar.write("**Developed by:**")
-st.sidebar.write("[Srish Rachamalla](https://www.linkedin.com/in/srishrachamalla/)")
-st.sidebar.write("[Sai Teja Pallerla](https://www.linkedin.com/in/saiteja-pallerla-668734225/)")
-
-# Main UI
-st.title('Gold Rates in Indian Cities')
-st.subheader('Select a city to view the current gold rates')
-
-# Dropdown for city selection
-selected_city = st.selectbox('Select a City', cities)
-
-# Fetch and display gold rates
-if selected_city:
-    city_url = f"https://www.goodreturns.in/gold-rates/{selected_city}.html"
-    
-    # Fetch the prices using your backend function
-    try:
-        value_24k, value_22k, value_18k = price_cities(city_url)
-
-        # Convert string values to float for calculation
-        value_22k = float(value_22k.replace(',', ''))
-        value_24k = float(value_24k.replace(',', ''))
-        value_18k = float(value_18k.replace(',', ''))
-
-        # Prepare data for table
-        data = {
-            # 'SNO': [1, 2, 3],
-            'Gold Purity': ['24K', '22K', '18K'],
-            '1g Price (₹)': [value_24k, value_22k, value_18k],
-            '8g Price (₹)': [value_24k * 8, value_22k * 8, value_18k * 8],
-            '10g Price (₹)': [value_24k * 10, value_22k * 10, value_18k * 10]
-        }
-
-        # Create a DataFrame for display
-        df = pd.DataFrame(data,index=[1, 2, 3])
-
-        # Display the DataFrame as a table
-        st.write(f"Gold rates in {selected_city}:")
-        st.dataframe(df.style.set_properties(**{
-            'background-color': 'black',
-            'color': 'white',
-            'border-color': 'ash'
-        }))
-
-    except:
-        st.error("Could not fetch the gold rates. Please try again.")
-    st.markdown("<br><hr><center><p style='color: grey;'>© 2024 All Rights Reserved</p></center><br>", unsafe_allow_html=True)
-
-
-# # Custom CSS to improve UI appearance
-# st.markdown("""
-#     <style>
-#     .stSidebar {
-#         background-color: #f4f4f4;
-#     }
-#     .stApp {
-#         background-color: #000000;
-#     }
-#     </style>
-#     """, unsafe_allow_html=True)
-
+import streamlit as st
+import requests
+import pandas as pd
+
+# Your backend functions
+def jina(url):
+    base_url = "https://r.jina.ai/"
+    url = base_url + url
+    response = requests.get(url)
+    return response.text
+
+def price_cities(url):
+    text = jina(url)
+    pos1 = text.find('**')
+    new = text[:pos1]
+
+    twentytwok = new[int(new.find('22K')):int(new.find('24K'))]
+    value_22k = twentytwok[int(twentytwok.find('\n\n') + 1): int(twentytwok.find('\n\n+'))][3:]
+    value_22k = value_22k.split('\n')[0]
+
+    twentyfourk = new[int(new.find('24K')):int(new.find('18K'))]
+    value_24k = twentyfourk[int(twentyfourk.find('\n\n') + 1): int(twentyfourk.find('\n\n+'))][3:]
+    value_24k = value_24k.split('\n')[0]
+
+    eighteenk = new[int(new.find('18K')):]
+    value_18k = eighteenk[int(eighteenk.find('\n\n') + 1): int(eighteenk.find('\n\n+'))][3:]
+    value_18k = value_18k.split('\n')[0]
+
+    return value_24k, value_22k, value_18k
+# List of cities
+cities = ['Ahmedabad', 'Ayodhya', 'Bangalore', 'Bhubaneswar', 'Chandigarh', 'Chennai',
+          'Coimbatore', 'Delhi', 'Hyderabad', 'Jaipur', 'Kerala', 'Kolkata', 'Lucknow',
+          'Madurai', 'Mangalore', 'Mumbai', 'Mysore', 'Nagpur', 'Nashik', 'Patna',
+          'Pune', 'Rajkot', 'Salem', 'Surat', 'Trichy', 'Vadodara', 'Vijayawada', 'Visakhapatnam']
+
+# Sidebar content
+st.sidebar.title("About the Project")
+st.sidebar.write("This project fetches current gold rates for 24K, 22K, and 18K gold from GoodReturns for 28 Indian states. The rates for 1g, 8g, and 10g are displayed.")
+st.sidebar.write("**Developed by:**")
+st.sidebar.write("[Srish Rachamalla](https://www.linkedin.com/in/srishrachamalla/)")
+st.sidebar.write("[Sai Teja Pallerla](https://www.linkedin.com/in/saiteja-pallerla-668734225/)")
+
+# Main UI
+st.title('Gold Rates in Indian Cities')
+st.subheader('Select a city to view the current gold rates')
+
+# Dropdown for city selection
+selected_city = st.selectbox('Select a City', cities)
+
+# Fetch and display gold rates
+if selected_city:
+    city_url = f"https://www.goodreturns.in/gold-rates/{selected_city}.html"
+    
+    # Fetch the prices using your backend function
+    try:
+        value_24k, value_22k, value_18k = price_cities(city_url)
+
+        # Convert string values to float for calculation
+        value_22k = round(float(value_22k.replace(',', '')),2)
+        value_24k = round(float(value_24k.replace(',', '')),2)
+        value_18k = round(float(value_18k.replace(',', '')),2)
+        # Prepare data for table
+        data = {
+            # 'SNO': [1, 2, 3],
+            'Gold Purity': ['24K', '22K', '18K'],
+            '1g Price (₹)': [value_24k, value_22k, value_18k],
+            '8g Price (₹)': [value_24k * 8, value_22k * 8, value_18k * 8],
+            '10g Price (₹)': [value_24k * 10, value_22k * 10, value_18k * 10]
+        }
+
+        # Create a DataFrame for display
+        df = pd.DataFrame(data,index=[1, 2, 3])
+
+        # Display the DataFrame as a table
+        st.write(f"Gold rates in {selected_city}:")
+        st.dataframe(df.style.format(precision=2).set_properties(**{
+            'background-color': 'black',
+            'color': 'white',
+            'border-color': 'ash'
+        }))
+
+    
+    except Exception as e:
+        st.error(f"Could not fetch the gold rates. Please try again.{e}")
+    
+    st.markdown("<br><hr><center><p style='color: grey;'>© 2024 All Rights Reserved</p></center><br>", unsafe_allow_html=True)
+
+