app.py

app.py

@@ -3,56 +3,45 @@ import requests
 import pandas as pd
 import plotly.graph_objects as go
 
+# Define your CryptoCompare API key
+API_KEY = 'YOUR_CRYPTOCOMPARE_API_KEY'
+
 # Function to fetch historical price data from CryptoCompare
-def fetch_historical_data(coin_id, from_timestamp, to_timestamp):
-    url = f"https://min-api.cryptocompare.com/data/v2/pricehistorical"
-    params = {
-        'fsym': coin_id.upper(),
-        'tsyms': 'USD',
-        'ts': to_timestamp
-    }
-    response = requests.get(url, params=params)
-    if response.status_code == 200:
+def fetch_historical_data(coin_id, from_date, to_date):
+    try:
+        url = "https://min-api.cryptocompare.com/data/v2/histoday"
+        params = {
+            'fsym': coin_id,
+            'tsym': 'USD',
+            'limit': 2000,  # Maximum number of data points
+            'toTs': pd.Timestamp(to_date).timestamp(),
+            'api_key': API_KEY
+        }
+        response = requests.get(url, params=params)
+        response.raise_for_status()
         data = response.json()
-        return data['Data']
-    else:
-        return f"Error fetching historical data for {coin_id}"
+        df = pd.DataFrame(data['Data']['Data'])
+        df['time'] = pd.to_datetime(df['time'], unit='s')
+        df = df[['time', 'close']].rename(columns={'time': 'timestamp', 'close': 'price'})
+        return df
+    except Exception as e:
+        return f"Error fetching historical data for {coin_id}: {e}"
 
 # Function to fetch current prices from CryptoCompare
 def fetch_current_price(coin_id):
-    url = f"https://min-api.cryptocompare.com/data/price"
-    params = {
-        'fsym': coin_id.upper(),
-        'tsyms': 'USD'
-    }
-    response = requests.get(url, params=params)
-    if response.status_code == 200:
+    try:
+        url = "https://min-api.cryptocompare.com/data/price"
+        params = {
+            'fsym': coin_id,
+            'tsyms': 'USD',
+            'api_key': API_KEY
+        }
+        response = requests.get(url, params=params)
+        response.raise_for_status()
         data = response.json()
-        return data['USD']
-    else:
-        return f"Error fetching current price for {coin_id}"
-
-# Function to convert dates to timestamps
-def date_to_timestamp(date_str):
-    return int(pd.Timestamp(date_str).timestamp())
-
-# Function to plot historical prices using Plotly
-def plot_historical_prices(coin_name, from_date, to_date):
-    from_timestamp = date_to_timestamp(from_date)
-    to_timestamp = date_to_timestamp(to_date)
-
-    data = fetch_historical_data(coin_name, from_timestamp, to_timestamp)
-
-    if isinstance(data, str):  # In case of error
-        return data
-
-    df = pd.DataFrame(list(data.items()), columns=['timestamp', 'price'])
-    df['date'] = pd.to_datetime(df['timestamp'], unit='s')
-
-    fig = go.Figure()
-    fig.add_trace(go.Scatter(x=df['date'], y=df['price'], mode='lines', name=coin_name))
-    fig.update_layout(title=f'{coin_name.capitalize()} Prices from {from_date} to {to_date}', xaxis_title='Date', yaxis_title='Price (USD)')
-    return fig
+        return f"${data['USD']}"
+    except Exception as e:
+        return f"Error fetching current price for {coin_id}: {e}"
 
 # Function to provide TradingView widget HTML
 def get_tradingview_chart():
@@ -71,27 +60,32 @@ def get_tradingview_chart():
 
 # Function to fetch real-time trade data from CryptoCompare
 def get_real_time_trade_data():
-    url = f"https://min-api.cryptocompare.com/data/price"
-    params = {
-        'fsym': 'BTC',
-        'tsyms': 'USD'
-    }
-    response = requests.get(url, params=params)
-    if response.status_code == 200:
-        data = response.json()
-        return f"Latest trading data for Bitcoin is: ${data['USD']}"
-    else:
-        return "Error fetching real-time trade data for Bitcoin."
+    try:
+        return fetch_current_price('BTC')
+    except Exception as e:
+        return f"Error fetching real-time trade data: {e}"
+
+# Function to plot historical prices using Plotly
+def plot_historical_prices(coin_name, from_date, to_date):
+    df = fetch_historical_data(coin_name, from_date, to_date)
+    if isinstance(df, str):  # In case of error
+        return df
+
+    fig = go.Figure()
+    fig.add_trace(go.Scatter(x=df['timestamp'], y=df['price'], mode='lines', name=coin_name))
+    fig.update_layout(title=f'{coin_name.capitalize()} Prices from {from_date} to {to_date}', xaxis_title='Date', yaxis_title='Price (USD)')
+    return fig
 
 # Function to analyze Bitcoin based on the prompt
 def analyze_btc(prompt):
     """Analyze the prompt and provide information."""
-    if "price" in prompt.lower():
-        return f"Current Bitcoin price: ${fetch_current_price('bitcoin')}"
-    elif "trade data" in prompt.lower():
+    prompt = prompt.lower()
+    if "price" in prompt:
+        return f"Current Bitcoin price: {fetch_current_price('BTC')}"
+    elif "trade data" in prompt:
         return get_real_time_trade_data()
-    elif "chart" in prompt.lower():
-        return gr.HTML(get_tradingview_chart())  # Use HTML component for TradingView chart
+    elif "chart" in prompt:
+        return get_tradingview_chart()  # Use HTML component for TradingView chart
     return "Try asking about the Bitcoin price, real-time trade data, or TradingView chart."
 
 # Gradio Interface Setup
@@ -125,7 +119,7 @@ real_time_trade_interface = gr.Interface(
 crypto_price_chart_interface = gr.Interface(
     fn=plot_historical_prices,
     inputs=[
-        gr.Dropdown(choices=['bitcoin'], label="Cryptocurrency"),
+        gr.Dropdown(choices=['BTC'], label="Cryptocurrency"),
         gr.Textbox(value="2024-01-01", label="From Date (YYYY-MM-DD)"),
         gr.Textbox(value="2025-12-31", label="To Date (YYYY-MM-DD)")
     ],
@@ -136,7 +130,7 @@ crypto_price_chart_interface = gr.Interface(
 # Current Price Interface
 current_price_interface = gr.Interface(
     fn=fetch_current_price,
-    inputs=gr.Dropdown(choices=['bitcoin'], label="Cryptocurrency"),
+    inputs=gr.Dropdown(choices=['BTC'], label="Cryptocurrency"),
     outputs=gr.Textbox(label="Current Price"),
     title="Current Cryptocurrency Price"
 )