Changed image_recognition_test.py's example run to work with async function

discord_bot.py

@@ -0,0 +1,52 @@
+import os
+import discord
+from discord.ext import commands
+from openai_interaction.image_recognition_test import image_recognition
+
+# Загружаем токен из переменной среды
+TOKEN = os.getenv('SCREAMING_OPOSSUM')
+
+# Создаем клиент с префиксом (не обязателен для слэш-команд)
+intents = discord.Intents.default()
+intents.message_content = True
+bot = commands.Bot(command_prefix='!', intents=intents)
+
+
+# region Bot Stuff
+@bot.event
+async def on_ready():
+    print(f'Logged in as {bot.user} (ID: {bot.user.id})')
+    print('------')
+    try:
+        synced = await bot.tree.sync()
+        print(f'Synced {len(synced)} command(s).')
+    except Exception as e:
+        print(f'Failed to sync commands: {e}')
+
+
+@bot.tree.command(name='hello', description='Screams at you!')
+async def hello_command(interaction: discord.Interaction):
+    async with interaction.channel.typing():
+        await interaction.response.send_message('AAAAAAAAAAAAAAAAAAAAA!')
+
+
+@bot.event
+async def on_message(message: discord.Message):
+    if message.author == bot.user:
+        return
+
+    if message.attachments and bot.user in message.mentions:
+        async with message.channel.typing():
+            message_attachments = [
+                {'filename': i_attachment.filename, 'url': i_attachment.url} for i_attachment in message.attachments
+            ]
+            await message.channel.send(await image_recognition(message.content, message_attachments))
+
+    await bot.process_commands(message)
+# endregion
+
+
+if __name__ == '__main__':
+    if TOKEN is None:
+        raise RuntimeError('Environment variable SCREAMING_OPOSSUM is not set')
+    bot.run(TOKEN)

openai_interaction/image_recognition_test.py

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+import asyncio
+from openai import OpenAI
+
+client = OpenAI()
+SUPPORTED_IMAGE_EXTENSIONS = ('.png', '.jpg', '.jpeg', '.webp', '.gif')
+
+
+async def image_recognition(content: str, files: list[dict[str: str]]) -> str:
+    input_data = [{'type': 'input_text', 'text': content}]
+    input_data.extend(
+        [
+            {
+                'type': 'input_image',
+                'image_url': i_url.get('url'),
+            }
+            for i_url in files if i_url.get('filename').lower().endswith(SUPPORTED_IMAGE_EXTENSIONS)
+        ]
+    )
+    response = client.responses.create(
+        model='gpt-4.1-mini',
+        input=[{
+            'role': 'user',
+            'content': input_data,
+        }],
+    )
+    return response.output_text
+
+
+if __name__ == '__main__':
+    data = {
+        'content': 'What\'s on these images?',
+        'files': [
+            {
+                'filename': 'Вы_продоёте_рыбов.jpg',
+                'url': 'https://upload.wikimedia.org/wikipedia/ru/8/8a/%D0%92%D1%8B_%D0%BF%D1%80%D0%BE%D0%B4%D0%BE%D1%91%D1%82%D0%B5_%D1%80%D1%8B%D0%B1%D0%BE%D0%B2.jpg',
+            },
+            {
+                'filename': 'Putin_and_Macron_meeting_with_a_large_table.jpg',
+                'url': 'https://upload.wikimedia.org/wikipedia/commons/a/a9/Putin_and_Macron_meeting_with_a_large_table.jpg',
+            },
+            {
+                'filename': 'shitty_pdf_file.pdf',
+                'url': 'https://example.com/shitty_pdf_file.pdf'
+            }
+        ],
+    }
+    result = asyncio.run(image_recognition(**data))
+    print(result)