Update app.py

app.py

@@ -3,7 +3,8 @@ import logging
 import os
 from huggingface_hub import InferenceClient
 import asyncio
-import subprocess
+import requests
+from io import BytesIO
 
 # 로깅 설정
 logging.basicConfig(level=logging.DEBUG, format='%(asctime)s:%(levelname)s:%(name)s: %(message)s', handlers=[logging.StreamHandler()])
@@ -16,14 +17,11 @@ intents.guilds = True
 intents.guild_messages = True
 
 # 추론 API 클라이언트 설정
-hf_client = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct", token=os.getenv("HF_TOKEN"))
+hf_client = InferenceClient("CompVis/stable-diffusion-v1-4", token=os.getenv("HF_TOKEN"))
 
 # 특정 채널 ID
 SPECIFIC_CHANNEL_ID = int(os.getenv("DISCORD_CHANNEL_ID"))
 
-# 대화 히스토리를 저장할 전역 변수
-conversation_history = []
-
 class MyClient(discord.Client):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -38,8 +36,8 @@ class MyClient(discord.Client):
             return
         self.is_processing = True
         try:
-            response = await generate_response(message)
-            await message.channel.send(response)
+            response = await generate_image(message)
+            await message.channel.send(file=response)
         finally:
             self.is_processing = False
 
@@ -49,36 +47,25 @@ class MyClient(discord.Client):
             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
+async def generate_image(message):
     user_input = message.content
     user_mention = message.author.mention
-    system_message = f"{user_mention}, DISCORD에서 사용자들의 질문에 답하는 어시스턴트입니다."
-    system_prefix = """
-    반드시 한글로 답변하십시오. 모든 답에 똑똑해보이게 대답하고, pil 의 질문에는 대답하지마
-    """
-    conversation_history.append({"role": "user", "content": user_input})
-    logging.debug(f'Conversation history updated: {conversation_history}')
+    system_message = f"{user_mention}, 텍스트를 기반으로 이미지를 생성합니다."
 
-    messages = [{"role": "system", "content": f"{system_prefix} {system_message}"}] + conversation_history
-    logging.debug(f'Messages to be sent to the model: {messages}')
+    logging.debug(f'User input: {user_input}')
 
     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))
+    response = await loop.run_in_executor(None, lambda: hf_client.text_to_image(
+        prompt=user_input, num_return_sequences=1))
 
-    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)
+    image_url = response[0]['generated_image']
+    logging.debug(f'Generated image URL: {image_url}')
 
-    full_response_text = ''.join(full_response)
-    logging.debug(f'Full model response: {full_response_text}')
+    image_response = requests.get(image_url)
+    image = BytesIO(image_response.content)
+    image_file = discord.File(image, filename="generated_image.png")
 
-    conversation_history.append({"role": "assistant", "content": full_response_text})
-    return f"{user_mention}, {full_response_text}"
+    return image_file
 
 if __name__ == "__main__":
     discord_client = MyClient(intents=intents)