app.py

app.py

@@ -3,16 +3,48 @@ import requests
 import pandas as pd
 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
+# 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()
-        return f"Current Bitcoin price: ${data['bitcoin']['usd']}"
-    except Exception as e:
-        return f"Error fetching price: {e}"
+        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:
+        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
 
 # Function to provide TradingView widget HTML
 def tradingview_widget():
@@ -32,19 +64,44 @@ def tradingview_widget():
 # Function to analyze prompt and provide information
 def analyze_btc(prompt):
     if "price" in prompt.lower():
-        return fetch_current_price()
+        return fetch_current_price("bitcoin")
     elif "chart" in prompt.lower():
-        return gr.HTML(tradingview_widget())  # Use HTML component for TradingView chart
+        return tradingview_widget()  # Use HTML component for TradingView chart
     return "Try asking about the BTC price or TradingView chart."
 
-# Set up the Gradio interface
-interface = gr.Interface(
+# Gradio Interface Setup
+
+# Historical 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)"
+)
+
+# Real-Time Trade Data Interface
+real_time_trade_interface = gr.Interface(
+    fn=fetch_current_price,
+    inputs=gr.Dropdown(choices=['bitcoin'], label="Cryptocurrency"),
+    outputs=gr.Textbox(label="Real-Time Trade Data"),
+    title="Real-Time Cryptocurrency Trade Data"
+)
+
+# AI Bitcoin Analyzer Interface
+ai_btc_analyzer_interface = gr.Interface(
     fn=analyze_btc, 
     inputs="text",
     outputs="html",  # Ensure output is HTML
-    title="Bitcoin Analyzer",
+    title="AI Bitcoin Analyzer",
     description="Ask about the current Bitcoin price or TradingView chart."
 )
 
-if __name__ == "__main__":
-    interface.launch()
+# Combine all interfaces into a single tabbed app
+gr.TabbedInterface(
+    [crypto_price_chart_interface, real_time_trade_interface, ai_btc_analyzer_interface],
+    tab_names=["Price Chart", "Real-Time Trade Data", "AI Bitcoin Analyzer"]
+).launch()