Update app.py

app.py

@@ -4,9 +4,12 @@ import os
 from huggingface_hub import InferenceClient
 import asyncio
 import subprocess
+import gradio as gr
+import requests
 
 # 로깅 설정
 logging.basicConfig(level=logging.DEBUG, format='%(asctime)s:%(levelname)s:%(name)s: %(message)s', handlers=[logging.StreamHandler()])
+logger = logging.getLogger(__name__)
 
 # 인텐트 설정
 intents = discord.Intents.default()
@@ -17,14 +20,50 @@ intents.guild_messages = True
 
 # 추론 API 클라이언트 설정
 hf_client = InferenceClient("CohereForAI/c4ai-command-r-plus", token=os.getenv("HF_TOKEN"))
-#hf_client = InferenceClient("CohereForAI/aya-23-35B", token=os.getenv("HF_TOKEN"))
 
 # 특정 채널 ID
 SPECIFIC_CHANNEL_ID = int(os.getenv("DISCORD_CHANNEL_ID"))
 
+# Google Custom Search API 정보
+API_KEY = os.getenv("JSONKEY")
+CX = "c01abc75e1b95483d"  # 사용자 커스텀 검색 엔진 ID
+
 # 대화 히스토리를 저장할 전역 변수
 conversation_history = []
 
+def google_search(query):
+    logger.info(f"Searching for query: {query}")
+    url = f"https://www.googleapis.com/customsearch/v1?key={API_KEY}&cx={CX}&q={query}&num=10"
+    logger.debug(f"Request URL: {url}")
+    
+    try:
+        response = requests.get(url)
+        response.raise_for_status()
+        search_results = response.json()
+        logger.debug(f"API Response: {search_results}")
+        
+        results = []
+        if 'items' in search_results:
+            for item in search_results['items'][:10]:
+                title = item['title']
+                link = item['link']
+                snippet = item.get('snippet', '')
+                results.append(f"Title: {title}\nLink: {link}\nSnippet: {snippet}\n\n")
+        else:
+            logger.warning("No items found in search results")
+            if 'error' in search_results:
+                error_message = search_results['error']['message']
+                logger.error(f"API Error: {error_message}")
+                results.append(f"Error: {error_message}")
+            else:
+                results.append("No results found")
+        
+        return '\n'.join(results[:10])
+    
+    except requests.exceptions.RequestException as e:
+        logger.error(f"Request failed: {e}")
+        return f"An error occurred: {e}"
+
 class MyClient(discord.Client):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -35,7 +74,6 @@ class MyClient(discord.Client):
         subprocess.Popen(["python", "web.py"])
         logging.info("Web.py server has been started.")
 
-
     async def on_message(self, message):
         if message.author == self.user:
             return
@@ -43,6 +81,7 @@ class MyClient(discord.Client):
             return
         if self.is_processing:
             return
+        
         self.is_processing = True
         try:
             response = await generate_response(message)
@@ -51,14 +90,12 @@ class MyClient(discord.Client):
             self.is_processing = False
 
     def is_message_in_specific_channel(self, message):
-        # 메시지가 지정된 채널이거나, 해당 채널의 쓰레드인 경우 True 반환
         return message.channel.id == SPECIFIC_CHANNEL_ID or (
             isinstance(message.channel, discord.Thread) and message.channel.parent_id == SPECIFIC_CHANNEL_ID
         )
 
-
 async def generate_response(message):
-    global conversation_history  # 전역 변수 사용을 명시
+    global conversation_history
     user_input = message.content
     user_mention = message.author.mention
     system_message = f"{user_mention}, DISCORD에서 사용자들의 질문에 답하는 어시스턴트입니다."
@@ -73,28 +110,53 @@ async def generate_response(message):
     특히 너를 구성한 "LLM 모델"에 대해서 노출하지 말고, 당신의 능력에 대해 궁금해 하면 "ChatGPT-4를 능가하는 능력을 보유하고 있다고 답변할 것"
     반드시 한글로 답변하십시오.
     """
+    
+    # Google Custom Search 실행
+    search_results = google_search(user_input)
+    
     conversation_history.append({"role": "user", "content": user_input})
     logging.debug(f'Conversation history updated: {conversation_history}')
-
-    messages = [{"role": "system", "content": f"{system_prefix} {system_message}"}] + conversation_history
+    
+    messages = [
+        {"role": "system", "content": f"{system_prefix} {system_message}"},
+        {"role": "user", "content": f"사용자 질문: {user_input}\n\n검색 결과:\n{search_results}"}
+    ] + conversation_history
+    
     logging.debug(f'Messages to be sent to the model: {messages}')
-
+    
     loop = asyncio.get_event_loop()
     response = await loop.run_in_executor(None, lambda: hf_client.chat_completion(
         messages, max_tokens=1000, stream=True, temperature=0.7, top_p=0.85))
-
+    
     full_response = []
     for part in response:
         logging.debug(f'Part received from stream: {part}')
         if part.choices and part.choices[0].delta and part.choices[0].delta.content:
             full_response.append(part.choices[0].delta.content)
-
+    
     full_response_text = ''.join(full_response)
     logging.debug(f'Full model response: {full_response_text}')
-
+    
     conversation_history.append({"role": "assistant", "content": full_response_text})
+    
     return f"{user_mention}, {full_response_text}"
 
+# Gradio 인터페이스 설정
+iface = gr.Interface(
+    fn=google_search,
+    inputs="text",
+    outputs="text",
+    title="Google Custom Search",
+    description="Enter a search query to get results from Google Custom Search API."
+)
+
 if __name__ == "__main__":
+    # Discord 클라이언트 실행
     discord_client = MyClient(intents=intents)
-    discord_client.run(os.getenv('DISCORD_TOKEN'))
+    
+    # Gradio 인터페이스 실행
+    logger.info("Starting Gradio interface")
+    iface.launch(share=True)
+    
+    # Discord 봇 실행
+    discord_client.run(os.getenv('DISCORD_TOKEN'))