🌐 NeuraNET Python API library
The Official NeuraNET Python Library
🛠 Installation
To get started with the library, simply run the following command:
pip install neuranet
💬 Chat Usage
Using the Chat AIs library is straightforward. Below is an example of a conversation:
import neuranet
api_key = "YOUR_API_KEY_HERE"
mode = 'chat'
client = neuranet.client(api_key, mode)
# Set up the conversation history and model
conversation_history = [
{"sender": "instruct", "content": "You are a helpful assistant."},
{"sender": "user", "content": "Hello."},
{"sender": "assistant", "content": "Hello, how can I assist you?"},
{"sender": "user", "content": "How are you?"}
]
model = "nlite" # options: nlite, npro, npro-vision
# Get the response
try:
response = client.generate(conversation_history, model)
print(response)
except Exception as e:
print(f"An error occurred: {e}")
🎨 Image Usage
Using the Image generation AIs library is straightforward. Below is an example of a conversation:
import neuranet
api_key = "YOUR_API_KEY_HERE"
mode = 'image'
client = neuranet.client(api_key, mode)
model = "vinci-mini" # options: vinci-mini, vinci-max
prompt = "A large oak tree"
response = client.generate(prompt, model)
print(response)
Release files for neuranet 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neuranet-0.0.1.tar.gz | 2.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neuranet-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:5.6 kB
Release files / neuranet-0.0.1.tar.gz
| Download URL | neuranet-0.0.1.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Release files / neuranet-0.0.1-py3-none-any.whl
| Download URL | neuranet-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|