app.py

app.py

@@ -2,9 +2,8 @@ import gradio as gr
 import requests
 import pandas as pd
 import plotly.graph_objs as go
-import time
 
-# Fallback data for demonstration purposes
+# Fallback historical data for demonstration purposes
 fallback_historical_data = {
     'bitcoin': [
         [1633046400000, 42000], [1633132800000, 42250], [1633219200000, 41500],
@@ -12,6 +11,7 @@ fallback_historical_data = {
     ]
 }
 
+# Fallback current price data
 fallback_current_prices = {
     'bitcoin': 42000,
     'ethereum': 3100,
@@ -30,7 +30,7 @@ def fetch_historical_data(coin_id, from_timestamp, to_timestamp):
         print(f"Error fetching historical data: {e}")
         return fallback_historical_data.get(coin_id, f"Error fetching historical data for {coin_id}")
 
-# Function to fetch current prices with fallback
+# Function to fetch current price from CoinGecko with fallback to CryptoCompare
 def fetch_current_price(coin_id):
     gecko_url = f"https://api.coingecko.com/api/v3/simple/price?ids={coin_id}&vs_currencies=usd"
     compare_url = f"https://min-api.cryptocompare.com/data/price?fsym={coin_id.upper()}&tsyms=USD"
@@ -78,14 +78,20 @@ def plot_historical_prices(coin_name, from_date, to_date):
     except Exception as e:
         return f"Error in plotting chart: {e}"
 
-# Function to analyze BTC (mock data)
+# Function to provide AI BTC analysis (mock data for now)
 def btc_analysis():
     try:
-        return "BTC Analysis: Market is bullish with increasing buying pressure."
+        return """
+        BTC Analysis: 
+        - Order Book: Buying pressure above, selling pressure below.
+        - Technical Indicators: Divergence detected, RSI showing overbought.
+        - Funding Rate: Higher on longs, suggesting bullish sentiment.
+        - On-chain: Strong accumulation signal detected.
+        """
     except Exception as e:
         return f"Error in BTC analysis: {e}"
 
-# Function to fetch real-time trade data
+# Function to fetch real-time trade data from CoinGecko
 def fetch_real_time_trade_data(coin_id):
     fallback_data = {'bitcoin': [1633039200000, 42000]}
     
@@ -97,7 +103,7 @@ def fetch_real_time_trade_data(coin_id):
         data = response.json()
         return data['prices'][-1]  # Latest price data
     except requests.exceptions.RequestException as e:
-        print(f"Error fetching trade data: {e}")
+        print(f"Error fetching real-time trade data: {e}")
         return fallback_data.get(coin_id, "Trade data not available")
 
 # Function to display real-time trade data
@@ -109,42 +115,49 @@ def real_time_trade_dashboard(coin):
         return f"Error in real-time trade dashboard: {e}"
 
 # Gradio Interfaces
+
+# AI BTC Analysis Interface
 btc_analysis_interface = gr.Interface(
     fn=btc_analysis,
     inputs=[],
     outputs=gr.Textbox(label="BTC Analysis"),
-    title="BTC Market Analysis"
+    title="AI-Powered BTC Analysis"
 )
 
+# Real-time Trade Data Interface
 real_time_trade_interface = gr.Interface(
     fn=real_time_trade_dashboard,
-    inputs=gr.Dropdown(choices=['bitcoin', 'ethereum'], label="Cryptocurrency"),
+    inputs=gr.Dropdown(choices=['bitcoin', 'ethereum', 'binancecoin'], label="Cryptocurrency"),
     outputs=gr.Textbox(label="Real-Time Trade Data"),
-    title="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', 'ethereum'], 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)")
+        gr.Dropdown(choices=['bitcoin', 'ethereum', 'binancecoin'], label="Cryptocurrency"),
+        gr.Textbox(value="2023-01-01", label="From Date (YYYY-MM-DD)"),
+        gr.Textbox(value="2024-01-01", label="To Date (YYYY-MM-DD)")
     ],
-    outputs=gr.Plot(label="Price Chart"),
+    outputs=gr.Plot(label="Cryptocurrency Price Chart"),
     title="Cryptocurrency Price Chart"
 )
 
+# Current Price Interface
 current_price_interface = gr.Interface(
     fn=fetch_current_price,
-    inputs=gr.Dropdown(choices=['bitcoin', 'ethereum'], label="Cryptocurrency"),
+    inputs=gr.Dropdown(choices=['bitcoin', 'ethereum', 'binancecoin'], label="Cryptocurrency"),
     outputs=gr.Textbox(label="Current Price"),
-    title="Current Price"
+    title="Current Cryptocurrency Price"
 )
 
-# Launch Gradio app
-app = gr.TabbedInterface(
-    [btc_analysis_interface, real_time_trade_interface, crypto_price_chart_interface, current_price_interface],
-    ["BTC Analysis", "Real-Time Trade Data", "Price Chart", "Current Price"]
+# Combining all interfaces into a single tabbed app
+block = gr.TabbedInterface(
+    [crypto_price_chart_interface, current_price_interface, real_time_trade_interface, btc_analysis_interface],
+    tab_names=["Price Chart", "Current Price", "Real-Time Trade Data", "AI BTC Analysis"]
 )
 
-app.launch()
+# Launch the Gradio app for Hugging Face Spaces
+if __name__ == "__main__":
+    block.launch()