Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+import hmac
+import hashlib
+import requests
+import time
+import os
+from datetime import datetime
+
+# Initialize hotdog classification pipeline
+hotdog_pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+
+# Configuration
+API_BASE_URL = "https://open-api.bingx.com"
+API_KEY = os.getenv('BINGX_API_KEY', "")
+API_SECRET = os.getenv('BINGX_API_SECRET', "")
+
+# Generate Signature
+def generate_signature(api_secret, params_str):
+    return hmac.new(api_secret.encode("utf-8"), params_str.encode("utf-8"), hashlib.sha256).hexdigest()
+
+# Parse Parameters
+def parse_params(params):
+    sorted_keys = sorted(params.keys())
+    param_pairs = [f"{key}={params[key]}" for key in sorted_keys]
+    params_str = "&".join(param_pairs)
+    return params_str + "&timestamp=" + str(int(time.time() * 1000)) if params_str else "timestamp=" + str(int(time.time() * 1000))
+
+# Fetch from BingX API
+def fetch_from_api(endpoint, params=None):
+    if not API_KEY or not API_SECRET:
+        raise ValueError("BingX API Key and Secret are not set. Please configure them in Hugging Face Space Secrets.")
+    params = params or {}
+    params['recvWindow'] = params.get('recvWindow', '5000')
+    params_str = parse_params(params)
+    signature = generate_signature(API_SECRET, params_str)
+    url = f"{API_BASE_URL}{endpoint}?{params_str}&signature={signature}"
+    try:
+        response = requests.get(url, headers={'X-BX-APIKEY': API_KEY, 'Content-Type': 'application/json'})
+        response.raise_for_status()
+        return response.json()
+    except requests.exceptions.RequestException as e:
+        raise Exception(f"API Error: {str(e)}")
+
+# Fetch Specific Data
+def fetch_balance():
+    data = fetch_from_api('/openApi/swap/v3/user/balance')
+    return data['data'][0]['walletBalance'] if data['data'] and data['data'][0]['asset'] == 'USDT' else 0
+
+def fetch_open_positions():
+    data = fetch_from_api('/openApi/swap/v2/user/positions', {'symbol': 'BTC-USDT'})
+    return data['data'] or []
+
+def fetch_trade_history():
+    data = fetch_from_api('/openApi/swap/v2/user/income', {'limit': 100})
+    return data['data'] or []
+
+# Helper Functions
+def calculate_today_profit(trades):
+    today = datetime.now().date()
+    return sum(trade['income'] for trade in trades if datetime.fromtimestamp(trade['time'] / 1000).date() == today)
+
+def calculate_advanced_stats(trades):
+    total_profit, total_loss, wins = 0, 0, 0
+    for trade in trades:
+        pl = trade['income']
+        if pl > 0:
+            total_profit += pl
+            wins += 1
+        else:
+            total_loss += abs(pl)
+    profit_factor = total_loss and (total_profit / total_loss) or 0
+    win_rate = trades and (wins / len(trades) * 100) or 0
+    return {'profit_factor': profit_factor, 'win_rate': win_rate}
+
+def calculate_portfolio_allocation(positions):
+    total_value = sum(pos['positionValue'] for pos in positions if 'positionValue' in pos)
+    by_symbol = {}
+    for pos in positions:
+        by_symbol[pos['symbol']] = by_symbol.get(pos['symbol'], 0) + (pos.get('positionValue', 0))
+    labels = list(by_symbol.keys())
+    data = [val / total_value * 100 if total_value else 0 for val in by_symbol.values()]
+    return {'labels': labels, 'data': data}
+
+# Update UI Functions (as Gradio components)
+def update_trading_table(positions, trades):
+    table_rows = []
+    for pos in positions:
+        table_rows.append(f"""
+            <tr class="border-b border-gray-200 dark:border-gray-700">
+                <td class="py-4">{pos['symbol']}</td>
+                <td class="py-4"><span class="{('bg-green-100 text-green-800' if pos['positionSide'] == 'LONG' else 'bg-red-100 text-red-800')} px-2 py-1 rounded">{pos['positionSide']}</span></td>
+                <td class="py-4">{pos['quantity']}</td>
+                <td class="py-4">${pos['entryPrice']:.2f}</td>
+                <td class="py-4 font-medium">${pos['markPrice']:.2f}</td>
+                <td class="py-4 font-bold {('text-green-500' if pos['unrealizedProfit'] > 0 else 'text-red-500')}">${pos['unrealizedProfit']:.2f}</td>
+                <td class="py-4"><span class="px-2 py-1 rounded bg-blue-100 text-blue-800">Open</span></td>
+                <td class="py-4 text-right"><button class="text-gray-400 hover:text-primary"><i class="fas fa-ellipsis-v"></i></button></td>
+            </tr>
+        """)
+    for trade in trades[:5]:
+        table_rows.append(f"""
+            <tr class="border-b border-gray-200 dark:border-gray-700">
+                <td class="py-4">{trade['symbol']}</td>
+                <td class="py-4"><span class="{('bg-green-100 text-green-800' if trade['positionSide'] == 'LONG' else 'bg-red-100 text-red-800')} px-2 py-1 rounded">{trade['positionSide']}</span></td>
+                <td class="py-4">{trade.get('quantity', 0)}</td>
+                <td class="py-4">${trade.get('entryPrice', 0):.2f}</td>
+                <td class="py-4 font-medium">${trade.get('exitPrice', 0):.2f}</td>
+                <td class="py-4 font-bold {('text-green-500' if trade['income'] > 0 else 'text-red-500')}">${trade['income']:.2f}</td>
+                <td class="py-4"><span class="px-2 py-1 rounded bg-gray-100 text-gray-800">Closed</span></td>
+                <td class="py-4 text-right"><button class="text-gray-400 hover:text-primary"><i class="fas fa-ellipsis-v"></i></button></td>
+            </tr>
+        """)
+    return gr.HTML("\n".join(table_rows))
+
+def update_advanced_stats(stats):
+    return gr.HTML(f"""
+        <div class="space-y-5">
+            <div>
+                <div class="flex justify-between mb-1"><span class="text-gray-500 dark:text-gray-400">Profit Factor</span><span class="font-bold text-green-500">{stats['profit_factor']}</span></div>
+                <div class="w-full bg-gray-200 rounded-full h-2 dark:bg-gray-700"><div class="bg-green-600 h-2 rounded-full" style="width: {min(stats['profit_factor'] * 25, 100)}%"></div></div>
+            </div>
+            <div>
+                <div class="flex justify-between mb-1"><span class="text-gray-500 dark:text-gray-400">Win Rate</span><span class="font-bold text-purple-500">{stats['win_rate']}%</span></div>
+                <div class="w-full bg-gray-200 rounded-full h-2 dark:bg-gray-700"><div class="bg-purple-600 h-2 rounded-full" style="width: {stats['win_rate']}%"></div></div>
+            </div>
+        </div>
+    """)
+
+def update_performance_chart(trades):
+    monthly_pl = {}
+    for trade in trades:
+        month = datetime.fromtimestamp(trade['time'] / 1000).strftime('%b')
+        monthly_pl[month] = monthly_pl.get(month, 0) + trade['income']
+    chart_data = {
+        'labels': list(monthly_pl.keys()),
+        'datasets': [{'label': 'Profit/Loss', 'data': list(monthly_pl.values()), 'borderColor': '#1E90FF', 'backgroundColor': 'rgba(30, 144, 255, 0.1)', 'tension': 0.4, 'fill': True}]
+    }
+    return gr.Chart(value=chart_data, type="line", options={
+        'responsive': True,
+        'plugins': {'legend': {'display': False}},
+        'scales': {'y': {'grid': {'color': 'rgba(0, 0, 0, 0.05)', 'borderDash': [5]}, 'ticks': {'callback': lambda value: f'${value}'}}, 'x': {'grid': {'display': False}}}
+    })
+
+def update_allocation_chart(allocation):
+    chart_data = {
+        'labels': allocation['labels'],
+        'datasets': [{'data': allocation['data'], 'backgroundColor': ['#1E90FF', '#10b981', '#8b5cf6', '#f59e0b'], 'borderWidth': 0}]
+    }
+    legend_html = "\n".join(f"""
+        <div class="mb-3">
+            <div class="flex justify-between mb-1">
+                <span class="text-gray-500 dark:text-gray-400 flex items-center">
+                    <span class="h-3 w-3 bg-[{chart_data['datasets'][0]['backgroundColor'][i]}] rounded-full mr-2"></span>
+                    {label}
+                </span>
+                <span class="font-medium dark:text-white">{data:.1f}%</span>
+            </div>
+            <div class="w-full bg-gray-200 rounded-full h-2 dark:bg-gray-700">
+                <div class="bg-[{chart_data['datasets'][0]['backgroundColor'][i]}] h-2 rounded-full" style="width: {data}%"></div>
+            </div>
+        </div>
+    """ for i, (label, data) in enumerate(zip(allocation['labels'], allocation['data'])))
+    return gr.Chart(value=chart_data, type="doughnut", options={
+        'responsive': True, 'cutout': '65%', 'plugins': {'legend': {'display': False}, 'tooltip': {'callbacks': {'label': lambda context: f"{context['label']}: {context['parsed']}%"}}}
+    }), gr.HTML(legend_html)
+
+# Main Data Fetch and Update Function
+def update_dashboard():
+    try:
+        balance = fetch_balance()
+        positions = fetch_open_positions()
+        trades = fetch_trade_history()
+
+        total_balance = f"${balance:.2f}"
+        open_trades = len(positions)
+        long_count = len([p for p in positions if p['positionSide'] == 'LONG'])
+        today_profit = f"${calculate_today_profit(trades):.2f}"
+        risk_percent = balance and (sum(p.get('positionValue', 0) for p in positions) / balance * 100) or 0
+        risk_exposure = 'Low' if risk_percent < 20 else 'Medium' if risk_percent < 50 else 'High'
+        exposure_percent = f"{risk_percent:.1f}%"
+
+        stats = calculate_advanced_stats(trades)
+        allocation = calculate_portfolio_allocation(positions)
+
+        return (
+            total_balance, open_trades, f"{long_count} Long • {len(positions) - long_count} Short", today_profit,
+            risk_exposure, exposure_percent, update_trading_table(positions, trades), update_advanced_stats(stats),
+            update_performance_chart(trades), update_allocation_chart(allocation), datetime.now().strftime('%I:%M %p'),
+            datetime.now().strftime('%I:%M %p')
+        )
+    except Exception as e:
+        return (
+            "$0.00", 0, "0 Long • 0 Short", "$0.00", "Low", "0%", gr.HTML("<tr><td colspan='8' class='py-4 text-center'>Error: Failed to sync with BingX API</td></tr>"),
+            gr.HTML("<div>Error loading stats</div>"), gr.Chart(), (gr.Chart(), gr.HTML("")), "Just now", "Just now"
+        )
+
+# Gradio Interface
+with gr.Blocks(title="Nakhoda4X Pro") as demo:
+    gr.Markdown("""
+        # Nakhoda4X Pro
+        **Trading Dashboard** connected to BingX via API | **Hot Dog Classifier** for image analysis
+    """)
+    
+    with gr.Tab("Trading Dashboard"):
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown("### Trading Dashboard")
+                gr.Markdown("Connected to BingX via API")
+            with gr.Column():
+                refresh_btn = gr.Button("Refresh", variant="secondary")
+                new_trade_btn = gr.Button("New Trade", variant="primary")
+        
+        with gr.Row():
+            with gr.Column(scale=1):
+                stats_cards = gr.Blocks()
+                with stats_cards:
+                    with gr.Row():
+                        gr.HTML("<div class='grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-6'>")
+                        total_balance = gr.HTML("<h3 id='total-balance' class='text-2xl font-bold mt-2 dark:text-white'>$0.00</h3>")
+                        open_trades = gr.HTML("<h3 id='open-trades' class='text-2xl font-bold mt-2 dark:text-white'>0</h3>")
+                        today_profit = gr.HTML("<h3 id='today-profit' class='text-2xl font-bold mt-2 dark:text-white'>$0.00</h3>")
+                        risk_exposure = gr.HTML("<h3 id='risk-exposure' class='text-2xl font-bold mt-2 dark:text-white'>Low</h3>")
+                    with gr.Row():
+                        gr.HTML("</div>")
+                        balance_change = gr.HTML("<div id='balance-change' class='mt-4 flex items-center text-green-500'><i class='fas fa-caret-up mr-1'></i><span class='font-medium'>0.0%</span><span class='text-gray-500 ml-2 dark:text-gray-400'>last 24h</span></div>")
+                        trade_types = gr.HTML("<div id='trade-types' class='mt-4 flex items-center text-blue-500'><span class='font-medium'>0 Long</span><span class='text-gray-500 mx-2 dark:text-gray-400'>•</span><span class='font-medium'>0 Short</span></div>")
+                        profit_change = gr.HTML("<div id='profit-change' class='mt-4 flex items-center text-green-500'><i class='fas fa-caret-up mr-1'></i><span class='font-medium'>0.0%</span><span class='text-gray-500 ml-2 dark:text-gray-400'>vs yesterday</span></div>")
+                        exposure_percent = gr.HTML("<div id='exposure-percent' class='mt-4 flex items-center text-gray-500 dark:text-gray-400'><span class='font-medium'>0%</span><span class='ml-2'>of balance</span></div>")
+            
+            with gr.Column(scale=3):
+                with gr.Row():
+                    with gr.Column():
+                        performance_chart = gr.Chart()
+                    with gr.Column():
+                        advanced_stats = gr.HTML()
+                
+                with gr.Row():
+                    trading_activity = gr.HTML()
+                
+                with gr.Row():
+                    with gr.Column():
+                        api_connection = gr.Blocks()
+                        with api_connection:
+                            gr.HTML("<div class='bg-gradient-to-r from-primary to-secondary rounded-2xl p-6'>")
+                            gr.HTML("<div class='flex items-center mb-4'><div class='mr-4'><div class='h-12 w-12 rounded-xl bg-white/30 flex items-center justify-center'><i class='fas fa-plug text-white text-xl'></i></div></div><div><h3 class='text-lg font-bold text-white'>BingX API Connected</h3><p id='last-sync' class='text-blue-100'>Last synced: Just now</p></div></div>")
+                            sync_now = gr.Button("Sync Now", elem_classes="w-full py-3 bg-white rounded-xl text-primary font-bold flex items-center justify-center")
+                    with gr.Column():
+                        portfolio_allocation = gr.Blocks()
+                        with portfolio_allocation:
+                            gr.HTML("<div class='bg-white dark:bg-darkCard rounded-2xl shadow-md p-6'>")
+                            gr.HTML("<div class='flex justify-between items-center mb-6'><h3 class='text-lg font-bold text-gray-800 dark:text-white'>Portfolio Allocation</h3><div><span id='allocation-update' class='text-gray-500 dark:text-gray-400 text-sm'>Last updated: Just now</span></div></div>")
+                            with gr.Row():
+                                allocation_chart = gr.Chart()
+                                allocation_legend = gr.HTML()
+
+        # Initial update
+        stats_cards.update(value=gr.HTML("<div class='grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-6'>"))
+        demo.load(fn=update_dashboard, inputs=None, outputs=[
+            total_balance, open_trades, trade_types, today_profit,
+            risk_exposure, exposure_percent, trading_activity, advanced_stats,
+            performance_chart, (allocation_chart, allocation_legend), gr.State(value=None), gr.State(value=None)
+        ])
+        refresh_btn.click(fn=update_dashboard, inputs=None, outputs=[
+            total_balance, open_trades, trade_types, today_profit,
+            risk_exposure, exposure_percent, trading_activity, advanced_stats,
+            performance_chart, (allocation_chart, allocation_legend), gr.State(value=None), gr.State(value=None)
+        ])
+        sync_now.click(fn=update_dashboard, inputs=None, outputs=[
+            total_balance, open_trades, trade_types, today_profit,
+            risk_exposure, exposure_percent, trading_activity, advanced_stats,
+            performance_chart, (allocation_chart, allocation_legend), gr.State(value=None), gr.State(value=None)
+        ])
+
+    with gr.Tab("Hot Dog Classifier"):
+        gr.Markdown("### Hot Dog? Or Not?")
+        with gr.Row():
+            input_img = gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil")
+            output_img = gr.Image(label="Processed Image")
+            output_label = gr.Label(label="Result", num_top_classes=2)
+        submit_btn = gr.Button("Classify")
+        submit_btn.click(fn=lambda img: (img, {p["label"]: p["score"] for p in hotdog_pipeline(img)}), inputs=input_img, outputs=[output_img, output_label])
+
+    demo.load(None, _js="() => [document.body.classList.toggle('dark', window.matchMedia && window.matchMedia('(prefers-color-scheme: dark)').matches)]")
+    with gr.Row():
+        theme_toggle = gr.Button("Toggle Theme", elem_classes="text-gray-600 dark:text-gray-300")
+    theme_toggle.click(None, _js="() => document.body.classList.toggle('dark')")
+
+if __name__ == "__main__":
+    demo.launch()