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3 changed files with 10 additions and 17 deletions
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2
cord/bot.py
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@ -40,7 +40,7 @@ async def chat(interaction: nextcord.Interaction,
): ):
await chatbot.respond(interaction, prompt) await chatbot.respond(interaction, prompt)
@bot.slash_command(description='Sets your DMs up, so you can message to the bot.') @bot.slash_command(description='Sets your DMs up, so you can write the bot.')
async def dm_setup(interaction: nextcord.Interaction): async def dm_setup(interaction: nextcord.Interaction):
try: try:
await interaction.user.create_dm() await interaction.user.create_dm()

2
cord/embedder.py
View file

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

23
cord/tutorials.py
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@ -62,29 +62,22 @@ Don't have `pip` installed? Learn more here: https://pip.pypa.io/en/stable/insta
""" """
if how_can_i == 'use the Python library': if how_can_i == 'use the Python library':
text = """To use the official `openai` Python library, you just need to do the following. text = """To use the official `nova_python` Python library, you just need to do the following.
```py ```py
# Import the OpenAI library (assuming it's already installed) from nova_python import Models, Endpoints, NovaClient
import openai
# Set the OpenAI API key client = NovaClient('YOUR_API_KEY')
openai.api_key = "NOVA_AI_KEY"
# Set the OpenAI API base URL reponse = client.make_request(
openai.api_base = "https://api.nova-oss.com/v1/" endpoint = Endpoints.CHAT_COMPLETION,
model = Models.GPT3,
# Create a chat completion using the gpt-3.5-turbo model and the user and system messages data=[
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."}, {"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "What is the highest mountain?"} {"role": "user", "content": "What is the highest mountain?"}
] ]
) )
# Extract and print the content of the model's response print(reponse.get_message_content())
response_content = completion.choices[0].message.content
print(response_content)
``` ```
""" """