add multimodal response

discollama.py

@@ -4,6 +4,7 @@ import json
 import asyncio
 import argparse
 from datetime import datetime, timedelta
+from base64 import b64encode, b64decode
 
 import ollama
 import discord
@@ -31,6 +32,9 @@ class Response:
 
     self.sb.write(s)
 
+    if self.sb.seek(0, io.SEEK_END) == 0:
+      return
+
     if self.r:
       await self.r.edit(content=self.sb.getvalue() + end)
       return
@@ -42,11 +46,13 @@ class Response:
 
 
 class Discollama:
-  def __init__(self, ollama, discord, redis):
+  def __init__(self, ollama, discord, redis, models):
     self.ollama = ollama
     self.discord = discord
     self.redis = redis
 
+    self.models = models
+
     # register event handlers
     self.discord.event(self.on_ready)
     self.discord.event(self.on_message)
@@ -83,9 +89,9 @@ class Discollama:
 
     channel = message.channel
 
-    context = []
+    context, images = [], []
     if reference := message.reference:
-      context = await self.load(message_id=reference.message_id)
+      context, images = await self.load(message_id=reference.message_id)
       if not context:
         reference_message = await message.channel.fetch_message(reference.message_id)
         content = '\n'.join(
@@ -97,17 +103,19 @@ class Discollama:
         )
 
     if not context:
-      context = await self.load(channel_id=channel.id)
+      context, images = await self.load(channel_id=channel.id)
+
+    images.extend([await attachment.read() for attachment in message.attachments if attachment.content_type.startswith('image/')])
 
     r = Response(message)
     task = asyncio.create_task(self.thinking(message))
-    async for part in self.generate(content, context):
+    async for part in self.generate(content, context, images=images):
       task.cancel()
 
       await r.write(part['response'], end='...')
 
     await r.write('')
-    await self.save(r.channel.id, message.id, part['context'])
+    await self.save(r.channel.id, message.id, part['context'], images)
 
   async def thinking(self, message, timeout=999):
     try:
@@ -119,11 +127,13 @@ class Discollama:
     finally:
       await message.remove_reaction('🤔', self.discord.user)
 
-  async def generate(self, content, context):
+  async def generate(self, content, context, images=None):
+    model = self.models['images' if images else 'default']
+
     sb = io.StringIO()
 
     t = datetime.now()
-    async for part in await self.ollama.generate(model='llama2', prompt=content, context=context, stream=True):
+    async for part in await self.ollama.generate(model=model, prompt=content, context=context, images=images, stream=True):
       sb.write(part['response'])
 
       if part['done'] or datetime.now() - t > timedelta(seconds=1):
@@ -133,16 +143,20 @@ class Discollama:
         sb.seek(0, io.SEEK_SET)
         sb.truncate()
 
-  async def save(self, channel_id, message_id, ctx: list[int]):
+  async def save(self, channel_id, message_id, context, images):
     self.redis.set(f'discollama:channel:{channel_id}', message_id, ex=60 * 60 * 24 * 7)
-    self.redis.set(f'discollama:message:{message_id}', json.dumps(ctx), ex=60 * 60 * 24 * 7)
+    self.redis.set(f'discollama:message:{message_id}', json.dumps(context), ex=60 * 60 * 24 * 7)
 
-  async def load(self, channel_id=None, message_id=None) -> list[int]:
+    images = [b64encode(image).decode('utf-8') for image in images]
+    self.redis.set(f'discollama:images:{message_id}', json.dumps(images), ex=60 * 60 * 24 * 7)
+
+  async def load(self, channel_id=None, message_id=None):
     if channel_id:
       message_id = self.redis.get(f'discollama:channel:{channel_id}')
 
-    ctx = self.redis.get(f'discollama:message:{message_id}')
-    return json.loads(ctx) if ctx else []
+    context = self.redis.get(f'discollama:message:{message_id}')
+    images = self.redis.get(f'discollama:images:{message_id}')
+    return json.loads(context) if context else [], [b64decode(image) for image in json.loads(images)] if images else []
 
   def run(self, token):
     try:
@@ -157,22 +171,23 @@ def main():
   parser.add_argument('--ollama-scheme', default=os.getenv('OLLAMA_SCHEME', 'http'), choices=['http', 'https'])
   parser.add_argument('--ollama-host', default=os.getenv('OLLAMA_HOST', '127.0.0.1'), type=str)
   parser.add_argument('--ollama-port', default=os.getenv('OLLAMA_PORT', 11434), type=int)
+
   parser.add_argument('--ollama-model', default=os.getenv('OLLAMA_MODEL', 'llama2'), type=str)
+  parser.add_argument('--ollama-images-model', default=os.getenv('OLLAMA_IMAGES_MODEL', 'llava'), type=str)
 
   parser.add_argument('--redis-host', default=os.getenv('REDIS_HOST', '127.0.0.1'), type=str)
   parser.add_argument('--redis-port', default=os.getenv('REDIS_PORT', 6379), type=int)
 
-  parser.add_argument('--buffer-size', default=32, type=int)
-
   args = parser.parse_args()
 
-  intents = discord.Intents.default()
-  intents.message_content = True
-
   Discollama(
     ollama.AsyncClient(base_url=f'{args.ollama_scheme}://{args.ollama_host}:{args.ollama_port}'),
-    discord.Client(intents=intents),
+    discord.Client(intents=discord.Intents.default()),
     redis.Redis(host=args.redis_host, port=args.redis_port, db=0, decode_responses=True),
+    {
+      'default': args.ollama_model,
+      'images': args.ollama_images_model,
+    },
   ).run(os.environ['DISCORD_TOKEN'])