Update app.py

app.py

@@ -41,16 +41,17 @@ def get_crypto_price_from_coinex(symbol):
         st.error(f"Error fetching data: {e}")
         return ["Error", "Error"]
 
-# Function to download existing CSV from Hugging Face
+# Function to download CSV from Hugging Face and save it locally
 def download_existing_csv():
     try:
         response = requests.get(HF_CSV_URL)
         response.raise_for_status()
         
-        csv_data = io.StringIO(response.text)
-        df = pd.read_csv(csv_data)
-        
-        return df  # Return existing DataFrame
+        with open(CSV_FILENAME, "wb") as file:
+            file.write(response.content)
+
+        df = pd.read_csv(CSV_FILENAME)
+        return df
     except requests.exceptions.RequestException:
         return pd.DataFrame()  # Return empty DataFrame if file doesn't exist
 
@@ -80,8 +81,11 @@ def fetch_data():
             timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
             all_data.append(timestamp)
 
-            # Load existing data
-            df_existing = download_existing_csv()
+            # Check if CSV exists locally; if not, download it
+            if not os.path.exists(CSV_FILENAME):
+                df_existing = download_existing_csv()
+            else:
+                df_existing = pd.read_csv(CSV_FILENAME)
 
             # Convert new data to DataFrame
             df_new = pd.DataFrame([all_data], columns=[f"{m} Price" for m in markets] + 
@@ -123,8 +127,13 @@ if st.button("Stop Fetching Data"):
 
 # Show Latest Data
 st.text("📊 Latest Data from CSV:")
+
+# Ensure the file exists before reading it
+if not os.path.exists(CSV_FILENAME):
+    download_existing_csv()
+
 try:
     df = pd.read_csv(CSV_FILENAME)
-    st.write(df.tail())
+    st.write(df.tail())  # Show last 5 rows
 except Exception as e:
     st.error(f"Error reading CSV: {e}")