Update app.py

app.py

@@ -1,29 +1,36 @@
 import streamlit as st
 import pandas as pd
 import requests
-import os
-# Hugging Face Dataset CSV URL
-CSV_URL = "https://huggingface.co/datasets/abolfazle80/crypto_data/resolve/main/USDT.csv"
+import io  # Import io for StringIO
 
-# Your Hugging Face Token (Keep it secret!)
-HF_TOKEN = os.getenv("HF_TOKEN")
-# Function to fetch CSV data with authentication
-def fetch_csv_data():
-    headers = {"Authorization": f"Bearer {HF_TOKEN}"}
+# Hugging Face dataset URL
+HF_USERNAME = "abolfazle80"
+REPO_NAME = "crypto_data"
+CSV_FILENAME = "USDT.csv"
+HF_CSV_URL = f"https://huggingface.co/datasets/{HF_USERNAME}/{REPO_NAME}/resolve/main/{CSV_FILENAME}"
+
+# Function to fetch latest data
+def fetch_latest_data():
     try:
-        response = requests.get(CSV_URL, headers=headers)
-        response.raise_for_status()  # Raise error for bad responses (4xx, 5xx)
-        df = pd.read_csv(pd.compat.StringIO(response.text))
-        return df
+        response = requests.get(HF_CSV_URL)
+        response.raise_for_status()  # Raise an error if request fails
+
+        # Use io.StringIO instead of pandas.compat.StringIO
+        csv_data = io.StringIO(response.text)  
+        df = pd.read_csv(csv_data)
+        
+        return df.tail()  # Show last few rows
+    except requests.exceptions.RequestException as e:
+        return f"Failed to fetch data: {e}"
     except Exception as e:
-        st.error(f"Failed to fetch data: {e}")
-        return None
+        return f"Error processing data: {e}"
 
 # Streamlit UI
-st.title("Live Crypto Data from Hugging Face Dataset")
+st.title("📊 View Latest Crypto Data")
 
-# Button to fetch and display the data
 if st.button("Show Latest Data"):
-    df = fetch_csv_data()
-    if df is not None:
-        st.write(df.tail())  # Show last few rows
+    latest_data = fetch_latest_data()
+    if isinstance(latest_data, str):  # Check if error occurred
+        st.error(latest_data)
+    else:
+        st.write(latest_data)  # Display DataFrame