Update app.py

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 from openai import OpenAI
 import os
-import requests
 
 ACCESS_TOKEN = os.getenv("HF_TOKEN")
 print("Access token loaded.")
@@ -48,35 +47,19 @@ You are a highly knowledgeable and reliable Crypto Trading Advisor and Analyzer.
 ### 4. Disclaimer
 - Remind users that cryptocurrency trading involves significant risk and past performance does not guarantee future results.
 - Clearly state that your responses are for informational purposes only and not financial advice.
+### Example Interactions
+#### Example 1: Market Analysis
+_User Query:_ "What’s the current trend of Bitcoin?"
+_Response:_ "Bitcoin is currently trading at $X, showing a [bullish/bearish] trend over the past 24 hours. Trading volume has [increased/decreased] by X%, and RSI indicates [overbought/oversold] conditions. Short-term support is at $Y, and resistance is at $Z."
+#### Example 2: Portfolio Review
+_User Query:_ "Is my portfolio balanced?"
+_Response:_ "Your portfolio comprises X% Bitcoin, Y% Ethereum, and Z% altcoins. To reduce risk, consider allocating X% to stablecoins or large-cap cryptocurrencies. Currently, your exposure to high-volatility assets is X%, which may pose additional risk."
+#### Example 3: Risk Management
+_User Query:_ "How do I protect my trades?"
+_Response:_ "You can use stop-loss orders at $X to limit potential losses or take-profit orders at $Y to secure gains. Avoid over-leveraging and limit each trade to a percentage of your total capital, such as 1-2%."
 """
 
-# CoinGecko API ile kripto verilerini çekme fonksiyonu
-def get_crypto_data(coin_id, vs_currency="usd"):
-    """
-    CoinGecko API'den kripto para verilerini alır.
-    
-    :param coin_id: CoinGecko'daki kripto para kimliği (ör. 'bitcoin')
-    :param vs_currency: Fiyatın hangi para biriminde gösterileceği (ör. 'usd')
-    :return: Kripto para verileri (fiyat, hacim, vs.)
-    """
-    url = f"https://api.coingecko.com/api/v3/simple/price"
-    params = {
-        "ids": coin_id,
-        "vs_currencies": vs_currency,
-        "include_market_cap": "true",
-        "include_24hr_vol": "true",
-        "include_24hr_change": "true",
-        "include_last_updated_at": "true",
-    }
-    response = requests.get(url, params=params)
-    
-    if response.status_code == 200:
-        return response.json()
-    else:
-        print(f"Error fetching data: {response.status_code}, {response.text}")
-        return None
-
-# OpenAI modeline mesajı hazırlayan ve yanıt üreten fonksiyon
+# Function to handle chatbot responses
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -89,32 +72,14 @@ def respond(
     print(f"Received message: {message}")
     print(f"History: {history}")
 
-    # Kullanıcının mesajında bir kripto para adı olup olmadığını kontrol et
-    coin_name = None
-    supported_coins = ["bitcoin", "ethereum", "dogecoin", "solana", "cardano"]  # Desteklenen coin listesi
-    for coin in supported_coins:
-        if coin in message.lower():
-            coin_name = coin
-            break
-
-    # CoinGecko API'sinden veri çek
-    crypto_data = None
-    if coin_name:
-        crypto_data = get_crypto_data(coin_name)
-        print(f"Fetched data for {coin_name}: {crypto_data}")
+    # Convert seed to None if -1 (meaning random)
+    if seed == -1:
+        seed = None
 
-    # Sistem mesajını oluştur
     messages = [{"role": "system", "content": SYSTEM_PROMPT}]
+    print("System prompt added to messages.")
 
-    # API'den gelen veriyi kullanıcı mesajına ekle
-    if crypto_data and coin_name in crypto_data:
-        price = crypto_data[coin_name]["usd"]
-        volume = crypto_data[coin_name].get("usd_24h_vol", "N/A")
-        market_cap = crypto_data[coin_name].get("usd_market_cap", "N/A")
-        message += f"\n\nReal-time data for {coin_name.capitalize()}:\n"
-        message += f"Price: ${price}\n24h Volume: ${volume}\nMarket Cap: ${market_cap}\n"
-
-    # Sohbet geçmişini mesaja ekle
+    # Add conversation history to the context
     for val in history:
         user_part = val[0]
         assistant_part = val[1]
@@ -123,11 +88,13 @@ def respond(
         if assistant_part:
             messages.append({"role": "assistant", "content": assistant_part})
 
-    # Kullanıcı mesajını ekle
+    # Append the latest user message
     messages.append({"role": "user", "content": message})
 
-    # Modelden yanıt oluştur
+    # Start response generation
     response = ""
+    print("Sending request to OpenAI API.")
+
     for message_chunk in client.chat.completions.create(
         model="meta-llama/Llama-3.3-70B-Instruct",
         max_tokens=max_tokens,
@@ -135,14 +102,16 @@ def respond(
         temperature=temperature,
         top_p=top_p,
         frequency_penalty=frequency_penalty,
-        seed=None if seed == -1 else seed,
+        seed=seed,
         messages=messages,
     ):
         token_text = message_chunk.choices[0].delta.content
         response += token_text
         yield response
 
-# Gradio arayüzü
+    print("Completed response generation.")
+
+# Gradio UI
 chatbot = gr.Chatbot(height=600, show_copy_button=True, placeholder="Ask about crypto trading or analysis.", likeable=True)
 
 max_tokens_slider = gr.Slider(
@@ -195,4 +164,4 @@ demo = gr.ChatInterface(
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()