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Merge branch 'main' of https://github.com/NovaOSS/nova-cord

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This commit is contained in:
nsde 2023-10-14 00:31:49 +02:00
parent b91e75c82c d3aa6ea803
commit 94a68a70f9
3 changed files with 17 additions and 10 deletions
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2
cord/bot.py
View file

@ -39,7 +39,7 @@ async def chat(interaction: nextcord.Interaction,
):
await chatbot.respond(interaction, prompt)
@bot.slash_command(description='Sets your DMs up, so you can write the bot.')
@bot.slash_command(description='Sets your DMs up, so you can message to the bot.')
async def dm_setup(interaction: nextcord.Interaction):
try:
await interaction.user.create_dm()

2
cord/embedder.py
View file

@ -23,7 +23,7 @@ async def send(
color=color
)
embed.set_footer(text='Powered by NovaAI with ❤️', icon_url='https://i.ibb.co/LDyFcSh/fav-blurple.png')
embed.set_footer(text='Powered by Nova with ❤️', icon_url='https://i.ibb.co/LDyFcSh/fav-blurple.png')
embed.set_author(name='NovaCord', url='https://nova-oss.com/novacord')
interaction_type = Union[nextcord.Interaction, nextcord.InteractionResponse]

23
cord/tutorials.py
View file

@ -62,22 +62,29 @@ Don't have `pip` installed? Learn more here: https://pip.pypa.io/en/stable/insta
"""
if how_can_i == 'use the Python library':
text = """To use the official `nova_python` Python library, you just need to do the following.
text = """To use the official `openai` Python library, you just need to do the following.
```py
from nova_python import Models, Endpoints, NovaClient
# Import the OpenAI library (assuming it's already installed)
import openai
client = NovaClient('YOUR_API_KEY')
# Set the OpenAI API key
openai.api_key = "NOVA_AI_KEY"
reponse = client.make_request(
endpoint = Endpoints.CHAT_COMPLETION,
model = Models.GPT3,
data=[
# Set the OpenAI API base URL
openai.api_base = "https://api.nova-oss.com/v1/"
# Create a chat completion using the gpt-3.5-turbo model and the user and system messages
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "What is the highest mountain?"}
]
)
print(reponse.get_message_content())
# Extract and print the content of the model's response
response_content = completion.choices[0].message.content
print(response_content)
```
"""