app.py

app.py

@@ -2,33 +2,37 @@ import gradio as gr
 import requests
 import pandas as pd
 import plotly.graph_objects as go
+import time
+
+# Function to fetch data with retry mechanism
+def fetch_data_with_retries(url, max_retries=3):
+    for attempt in range(max_retries):
+        try:
+            response = requests.get(url)
+            response.raise_for_status()
+            return response.json()
+        except requests.RequestException as e:
+            if attempt < max_retries - 1:
+                time.sleep(2)  # Wait before retrying
+            else:
+                return f"Error fetching data: {e}"
 
 # Function to fetch historical price data from CoinGecko
 def fetch_historical_data(coin_id, from_timestamp, to_timestamp):
     url = f"https://api.coingecko.com/api/v3/coins/{coin_id}/market_chart/range?vs_currency=usd&from={from_timestamp}&to={to_timestamp}"
-    try:
-        response = requests.get(url)
-        response.raise_for_status()
-        data = response.json()
-        prices = data.get('prices', [])
-        return prices
-    except requests.RequestException as e:
-        return f"Error fetching historical data: {e}"
+    data = fetch_data_with_retries(url)
+    if isinstance(data, str):
+        return data
+    prices = data.get('prices', [])
+    return prices
 
 # Function to fetch current prices from CoinGecko
 def fetch_current_price(coin_id):
     url = f"https://api.coingecko.com/api/v3/simple/price?ids={coin_id}&vs_currencies=usd"
-    try:
-        response = requests.get(url)
-        response.raise_for_status()
-        data = response.json()
-        return data[coin_id]['usd']
-    except requests.RequestException as e:
-        return f"Error fetching current price: {e}"
-
-# Function to convert dates to timestamps
-def date_to_timestamp(date_str):
-    return int(pd.Timestamp(date_str).timestamp())
+    data = fetch_data_with_retries(url)
+    if isinstance(data, str):
+        return data
+    return data[coin_id]['usd']
 
 # Function to plot historical prices using Plotly
 def plot_historical_prices(coin_name, from_date, to_date):
@@ -37,7 +41,7 @@ def plot_historical_prices(coin_name, from_date, to_date):
 
     prices = fetch_historical_data(coin_name, from_timestamp, to_timestamp)
 
-    if isinstance(prices, str):  # In case of error
+    if isinstance(prices, str):
         fig = go.Figure()
         fig.update_layout(title=prices)
         return fig
@@ -68,14 +72,11 @@ def get_tradingview_chart():
 # Function to fetch real-time trade data from CoinGecko
 def get_real_time_trade_data():
     url = "https://api.coingecko.com/api/v3/coins/bitcoin/market_chart?vs_currency=usd&days=1"
-    try:
-        response = requests.get(url)
-        response.raise_for_status()
-        data = response.json()
-        latest_price = data['prices'][-1][1] if data['prices'] else "N/A"
-        return f"Latest trading data for Bitcoin is: ${latest_price}"
-    except requests.RequestException as e:
-        return f"Error fetching real-time trade data: {e}"
+    data = fetch_data_with_retries(url)
+    if isinstance(data, str):
+        return data
+    latest_price = data['prices'][-1][1] if data['prices'] else "N/A"
+    return f"Latest trading data for Bitcoin is: ${latest_price}"
 
 # Function to analyze Bitcoin based on the prompt
 def analyze_btc(prompt):