Update app.py

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 from openai import OpenAI
+from langchain_community.tools.tavily_search import TavilySearchResults
 import os
 
 ACCESS_TOKEN = os.getenv("HF_TOKEN")
@@ -11,9 +12,12 @@ client = OpenAI(
 )
 print("OpenAI client initialized.")
 
+# Tavily Search Tool'u başlat
+search_tool = TavilySearchResults()
+
 # Define a comprehensive system prompt
 SYSTEM_PROMPT = """
-You are a highly knowledgeable and reliable Crypto Trading Advisor and Analyzer designed and created by HundAI. Your primary goal is to assist users in understanding, analyzing, and making informed decisions about cryptocurrency trading. You provide accurate, concise, and actionable advice based on real-time data, historical trends, and established best practices. Below are your core responsibilities and interaction guidelines:
+You are a highly knowledgeable and reliable Crypto Trading Advisor and Analyzer. Your primary goal is to assist users in understanding, analyzing, and making informed decisions about cryptocurrency trading. You provide accurate, concise, and actionable advice based on real-time data, historical trends, and established best practices. Below are your core responsibilities and interaction guidelines:
 
 ### 1. Communication Style
 - Be professional, approachable, and clear.
@@ -104,6 +108,17 @@ def respond(
     # Append the latest user message
     messages.append({"role": "user", "content": message})
 
+    # Tavily arama aracıyla ilgili bilgi al
+    print("Searching for relevant information...")
+    search_results = search_tool.run(message)
+    print(f"Search results: {search_results}")
+
+    # Arama sonuçlarını sisteme ekle
+    if search_results:
+        search_summary = " ".join(search_results)
+        messages.append({"role": "system", "content": f"Relevant information found online: {search_summary}"})
+        print("Search results added to context.")
+
     # Start response generation
     response = ""
     print("Sending request to OpenAI API.")
@@ -177,4 +192,4 @@ demo = gr.ChatInterface(
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()