Update app.py

app.py

@@ -1,26 +1,12 @@
 import gradio as gr
 import requests
+import json
 import pandas as pd
 import plotly.graph_objects as go
-from huggingface_hub import InferenceClient
 
-# -----------------------------------------------------------------------------
-# 1. CONFIGURATION & STATE
-# -----------------------------------------------------------------------------
-# Global variable to store the latest market text for the AI
 MARKET_CONTEXT = "Market data is loading..."
 
-# Initialize the public model (no token required)
-client = InferenceClient(model="Qwen/Qwen2.5-VL-3B-Instruct")
-
-# -----------------------------------------------------------------------------
-# 2. DATA FETCHING (CoinGecko)
-# -----------------------------------------------------------------------------
 def fetch_crypto_data():
-    """
-    Fetches data from CoinGecko.
-    Returns: A list of dicts for the UI, and updates the global AI context.
-    """
     url = "https://api.coingecko.com/api/v3/coins/markets"
     params = {
         "vs_currency": "usd",
@@ -42,7 +28,6 @@ def fetch_crypto_data():
 
         data = response.json()
         
-        # Build the context string for AI
         context_parts = []
         processed_data = []
 
@@ -54,7 +39,6 @@ def fetch_crypto_data():
             mcap = coin['market_cap'] or 0
             history = coin.get('sparkline_in_7d', {}).get('price', [])
             
-            # Add to AI context
             context_parts.append(f"[{symbol}: ${price}, 24h:{chg_24:.1f}%, 7d:{chg_7d:.1f}%]")
             
             processed_data.append({
@@ -74,12 +58,7 @@ def fetch_crypto_data():
         print(f"API Error: {e}")
         return None
 
-# -----------------------------------------------------------------------------
-# 3. UI HELPERS (Plots & HTML)
-# -----------------------------------------------------------------------------
 def create_sparkline(history, chg_24):
-    """Creates a minimalist Plotly sparkline"""
-    # Green if positive, Red if negative
     color = "#10B981" if chg_24 >= 0 else "#EF4444"
     
     fig = go.Figure()
@@ -88,7 +67,7 @@ def create_sparkline(history, chg_24):
         mode='lines',
         fill='tozeroy',
         line=dict(color=color, width=2),
-        fillcolor=f"rgba{tuple(int(color.lstrip('#')[i:i+2], 16) for i in (0, 2, 4)) + (0.1,)}"
+        fillcolor=f"rgba({int(color[1:3], 16)}, {int(color[3:5], 16)}, {int(color[5:7], 16)}, 0.1)"
     ))
     
     fig.update_layout(
@@ -104,7 +83,6 @@ def create_sparkline(history, chg_24):
     return fig
 
 def create_card_html(coin):
-    """Generates the HTML card for a single coin"""
     if not coin:
         return "<div style='color:white;'>Error Loading</div>"
 
@@ -133,12 +111,10 @@ def create_card_html(coin):
     return html
 
 def refresh_dashboard():
-    """Main function called to update the dashboard"""
     data = fetch_crypto_data()
     
-    # If API fails (rate limit), return dummy updates
     if not data:
-        return [gr.update()] * 8 # 4 HTML blocks + 4 Plots
+        return [gr.update()] * 8
 
     outputs = []
     for coin in data:
@@ -147,42 +123,37 @@ def refresh_dashboard():
         
     return outputs
 
-# -----------------------------------------------------------------------------
-# 4. AI CHAT LOGIC
-# -----------------------------------------------------------------------------
 def chat_logic(message, history):
-    system_prompt = f"""You are a professional Crypto Dashboard Assistant.
-    
-    LIVE MARKET DATA (Use this if asked about prices):
-    {MARKET_CONTEXT}
-    
-    INSTRUCTIONS:
-    1. If the user asks for the price, trend, or stats of a coin, USE THE LIVE DATA above.
-    2. If the user asks general questions ("What is mining?", "Who is Satoshi?"), answer normally.
-    3. Keep answers concise, helpful, and professional.
-    """
+    API_URL = "https://api-inference.huggingface.co/models/Qwen/Qwen2.5-VL-3B-Instruct"
     
-    messages = [{"role": "system", "content": system_prompt}]
+    system_prompt = f"""You are a professional Crypto Dashboard Assistant.
+    LIVE MARKET DATA: {MARKET_CONTEXT}
+    1. Use live data for prices/stats.
+    2. Answer general questions normally.
+    3. Be concise and professional."""
     
+    payload_messages = [{"role": "system", "content": system_prompt}]
     for human, assistant in history:
-        messages.append({"role": "user", "content": human})
-        messages.append({"role": "assistant", "content": assistant})
-        
-    messages.append({"role": "user", "content": message})
+        payload_messages.append({"role": "user", "content": human})
+        payload_messages.append({"role": "assistant", "content": assistant})
+    payload_messages.append({"role": "user", "content": message})
+    
+    payload = {
+        "model": "Qwen/Qwen2.5-VL-3B-Instruct",
+        "messages": payload_messages,
+        "parameters": {"max_new_tokens": 512, "temperature": 0.7}
+    }
     
     try:
-        stream = client.chat_completion(messages, max_tokens=512, stream=True, temperature=0.7)
-        partial_message = ""
-        for chunk in stream:
-            if chunk.choices[0].delta.content:
-                partial_message += chunk.choices[0].delta.content
-                yield partial_message
+        response = requests.post(API_URL, json=payload, timeout=20)
+        if response.status_code == 200:
+            result = response.json()
+            yield result[0]['generated_text'] if isinstance(result, list) else result['choices'][0]['message']['content']
+        else:
+            yield f"⚠️ API Error: {response.status_code} - {response.text}"
     except Exception as e:
-        yield f"⚠️ AI Error: {str(e)}"
+        yield f"⚠️ Connection Error: {str(e)}"
 
-# -----------------------------------------------------------------------------
-# 5. GRADIO APP LAYOUT
-# -----------------------------------------------------------------------------
 custom_css = """
 body { background-color: #111827; }
 .contain { max-width: 1400px; margin: auto; padding-top: 20px; }
@@ -191,55 +162,40 @@ h1 { color: #F3F4F6; text-align: center; margin-bottom: 30px; }
 footer { visibility: hidden; }
 """
 
-# We define the theme on the Blocks object, but remove it from ChatInterface
 with gr.Blocks(css=custom_css, theme=gr.themes.Soft(primary_hue="indigo", neutral_hue="slate")) as demo:
     
     gr.HTML("<h1>⚡ CryptoDash AI</h1>")
     
-    # --- DASHBOARD ROW ---
-    # We initialize with empty plots/html, they get filled by the load() event
     with gr.Row():
-        # Column 1: BTC
         with gr.Column():
             c1_html = gr.HTML()
             c1_plot = gr.Plot(show_label=False, container=False)
-        
-        # Column 2: ETH
         with gr.Column():
             c2_html = gr.HTML()
             c2_plot = gr.Plot(show_label=False, container=False)
-            
-        # Column 3: SOL
         with gr.Column():
             c3_html = gr.HTML()
             c3_plot = gr.Plot(show_label=False, container=False)
-            
-        # Column 4: BNB
         with gr.Column():
             c4_html = gr.HTML()
             c4_plot = gr.Plot(show_label=False, container=False)
 
     btn_refresh = gr.Button("🔄 Refresh Market Data", variant="secondary")
 
-    # --- CHAT SECTION ---
     gr.HTML("<br><div style='height: 1px; background-color: #374151; margin: 20px 0;'></div>")
     gr.Markdown("### 🤖 Qwen Crypto Assistant")
     
-    # NOTE: Removed 'theme' argument here to fix the error
     chat = gr.ChatInterface(
         fn=chat_logic,
         examples=["What is the price of Bitcoin?", "Is the market up today?", "Explain market cap"],
     )
 
-    # --- EVENT WIRING ---
-    # Load data immediately when app starts
     demo.load(
         fn=refresh_dashboard, 
         inputs=None, 
         outputs=[c1_html, c1_plot, c2_html, c2_plot, c3_html, c3_plot, c4_html, c4_plot]
     )
     
-    # Refresh button click
     btn_refresh.click(
         fn=refresh_dashboard, 
         inputs=None, 
@@ -247,4 +203,4 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft(primary_hue="indigo", neutra
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()