app.py

app.py

@@ -1,53 +1,21 @@
 import gradio as gr
 import requests
 import pandas as pd
-import plotly.graph_objects as go
-
-# 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}"
-    response = requests.get(url)
-    if response.status_code == 200:
-        data = response.json()
-        prices = data['prices']
-        return prices
-    else:
-        return f"Error fetching historical data for {coin_id}"
-
-# 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"
-    response = requests.get(url)
-    if response.status_code == 200:
+import plotly.graph_objs as go
+
+# Function to fetch current price from CoinGecko
+def fetch_current_price():
+    try:
+        url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"
+        response = requests.get(url)
+        response.raise_for_status()  # Check for HTTP errors
         data = response.json()
-        return data[coin_id]['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)
-
-    prices = fetch_historical_data(coin_name, from_timestamp, to_timestamp)
-
-    if isinstance(prices, str):  # In case of error
-        return prices
-
-    df = pd.DataFrame(prices, columns=['timestamp', 'price'])
-    df['date'] = pd.to_datetime(df['timestamp'], unit='ms')
-
-    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"Current Bitcoin price: ${data['bitcoin']['usd']}"
+    except Exception as e:
+        return f"Error fetching price: {e}"
 
 # Function to provide TradingView widget HTML
-def get_tradingview_chart():
+def tradingview_widget():
     widget_html = """
     <iframe
         src="https://www.tradingview.com/widgetembed/?frameElementId=tradingview_ea33b&symbol=BINANCE:BTCUSDT&interval=60"
@@ -61,76 +29,22 @@ def get_tradingview_chart():
     """
     return widget_html
 
-# 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"
-    response = requests.get(url)
-    if response.status_code == 200:
-        data = response.json()
-        return f"Latest trading data for Bitcoin is: ${data['prices'][-1][1]}"
-    else:
-        return "Error fetching real-time trade data for Bitcoin."
-
-# Function to analyze Bitcoin based on the prompt
+# Function to analyze prompt and provide information
 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():
-        return get_real_time_trade_data()
+        return fetch_current_price()
     elif "chart" in prompt.lower():
-        return gr.HTML(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
+        return gr.HTML(tradingview_widget())  # Use HTML component for TradingView chart
+    return "Try asking about the BTC price or TradingView chart."
 
-# AI BTC Analysis Interface
-btc_analysis_interface = gr.Interface(
+# Set up the Gradio interface
+interface = gr.Interface(
     fn=analyze_btc, 
     inputs="text",
     outputs="html",  # Ensure output is HTML
     title="Bitcoin Analyzer",
-    description="Ask about the current Bitcoin price, real-time trade data, or TradingView chart."
-)
-
-# TradingView Interface for live charts
-tradingview_interface = gr.Interface(
-    fn=get_tradingview_chart,
-    inputs=[],
-    outputs=gr.HTML(label="TradingView Chart"),
-    title="Live TradingView Chart"
-)
-
-# Real-time Trade Data Interface
-real_time_trade_interface = gr.Interface(
-    fn=get_real_time_trade_data,
-    inputs=[],
-    outputs=gr.Textbox(label="Real-Time Trade Data"),
-    title="Real-Time Cryptocurrency Trade Data"
-)
-
-# Price Chart Interface
-crypto_price_chart_interface = gr.Interface(
-    fn=plot_historical_prices,
-    inputs=[
-        gr.Dropdown(choices=['bitcoin'], 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)")
-    ],
-    outputs=gr.Plot(label="Cryptocurrency Price Chart"),
-    title="Cryptocurrency Price Chart (2024-2025)"
-)
-
-# Current Price Interface
-current_price_interface = gr.Interface(
-    fn=fetch_current_price,
-    inputs=gr.Dropdown(choices=['bitcoin'], label="Cryptocurrency"),
-    outputs=gr.Textbox(label="Current Price"),
-    title="Current Cryptocurrency Price"
+    description="Ask about the current Bitcoin price or TradingView chart."
 )
 
-# Combining all interfaces into a single tabbed app
-gr.TabbedInterface(
-    [crypto_price_chart_interface, current_price_interface, real_time_trade_interface, btc_analysis_interface, tradingview_interface],
-    tab_names=["Price Chart", "Current Price", "Real-Time Trade Data", "AI BTC Analysis", "TradingView Chart"]
-).launch()
+if __name__ == "__main__":
+    interface.launch()