# Neuralite
*A Streamlined Python Framework for Rapidly Building and Deploying Machine Learning-Based Conversational Agents*
Build, deploy, and scale your AI projects with Neuralite! Whether you're a seasoned AI developer or just starting out, Neuralite offers a simple and efficient way to implement AI features into your software.
## Getting Started 🚀
To get started, install Neuralite with pip:
```bash
pip install Neuralite
```
## Basic Chatbot 🤖
Creating a basic chatbot is simple:
```python
from neuralite.interpreter import ai # Imports framework
assistant = ai('dataset.json') # Loads dataset
cycle_end = False # Starts the AI cycle
while not cycle_end: # Main cycle
message = input("Enter a message: ") # Prompts user with message
if message.lower() == "stop": # Exit with 'stop'
cycle_end = True # Ends cycle
else:
print(assistant.process_input(message)) # Prints the response
```
# Customizable Training Epochs 🔄
Train your AI model with a customizable number of epochs. The higher the epochs, the more refined your model will be.
```python
from neuralite.interpreter import ai # Imports framework
# Initialize the AI model with 200 epochs
assistant = ai('dataset.json', epochs=200)
# Continue with your chatbot as usual
```
# Compiling Your Model 📦
To make your dataset unreadable, load faster, and to package it into a neat file.
```python
from neuralite.interpreter import ai # Imports framework
assistant = ai('dataset.json') # Loads dataset
assistant.compile('model.nlite') # Packages dataset to 'model.nlite'
```
# Loading a Compiled Model 🔓
To load a precompiled model.
```python
from neuralite.interpreter import ai # Imports framework
assistant = ai.compiled('model.nlite') # Loads the compiled model
cycle_end = False # Starts the AI cycle
while not cycle_end: # Main cycle
message = input("Enter a message: ") # Prompts user with message
if message.lower() == "stop": # Exit with 'stop'
cycle_end = True # Ends cycle
else:
print(assistant.process_input(message)) # Prints the response
```
# Example Conversational Dataset 💬
```json
{
"greeting": ["Hi", "Hello", "Hey there"],
"greeting_responses": ["Hello!", "Hi, how can I help?", "Hey! What's up?"],
"farewell": ["Goodbye", "See you", "Ciao"],
"farewell_responses": ["Goodbye!", "See you soon!", "Take care!"],
"how_are_you": ["How are you?", "How's it going?", "What's up?"],
"how_are_you_responses": ["I'm good, thank you!", "I'm doing well. How about you?", "Not much, what about you?"],
"compliment": ["You're great!", "You're amazing!", "You're awesome!"],
"compliment_responses": ["Thank you! You're pretty awesome too.", "Thanks! You're great as well!", "Thanks! That means a lot."],
"name": ["What's your name?", "Who are you?", "Tell me your name."],
"name_responses": ["I'm Neuralite, your AI assistant.", "Call me Neuralite.", "I'm Neuralite! Nice to meet you."],
"jokes": ["Tell me a joke.", "Do you know any jokes?", "Make me laugh."],
"jokes_responses": ["Why did the scarecrow win an award? Because he was outstanding in his field!", "I told my computer I needed a break. Now it won't stop sending me Kit-Kats.", "Why did the math book look sad? Because it had too many problems."]
}
```
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"description": "\r\n# Neuralite\r\n\r\n*A Streamlined Python Framework for Rapidly Building and Deploying Machine Learning-Based Conversational Agents*\r\n\r\n\r\n\r\nBuild, deploy, and scale your AI projects with Neuralite! Whether you're a seasoned AI developer or just starting out, Neuralite offers a simple and efficient way to implement AI features into your software.\r\n\r\n\r\n\r\n## Getting Started \ud83d\ude80\r\n\r\nTo get started, install Neuralite with pip:\r\n\r\n```bash\r\n\r\npip install Neuralite\r\n\r\n```\r\n\r\n\r\n\r\n## Basic Chatbot \ud83e\udd16\r\n\r\nCreating a basic chatbot is simple:\r\n\r\n```python\r\n\r\nfrom neuralite.interpreter import ai # Imports framework\r\n\r\n\r\n\r\nassistant = ai('dataset.json') # Loads dataset\r\n\r\n\r\n\r\ncycle_end = False # Starts the AI cycle\r\n\r\n\r\n\r\nwhile not cycle_end: # Main cycle\r\n\r\n message = input(\"Enter a message: \") # Prompts user with message\r\n\r\n if message.lower() == \"stop\": # Exit with 'stop'\r\n\r\n cycle_end = True # Ends cycle\r\n\r\n else:\r\n\r\n print(assistant.process_input(message)) # Prints the response\r\n\r\n```\r\n\r\n\r\n\r\n# Customizable Training Epochs \ud83d\udd04\r\n\r\nTrain your AI model with a customizable number of epochs. The higher the epochs, the more refined your model will be.\r\n\r\n```python\r\n\r\nfrom neuralite.interpreter import ai # Imports framework\r\n\r\n\r\n\r\n# Initialize the AI model with 200 epochs\r\n\r\nassistant = ai('dataset.json', epochs=200)\r\n\r\n\r\n\r\n# Continue with your chatbot as usual\r\n\r\n```\r\n\r\n\r\n\r\n# Compiling Your Model \ud83d\udce6\r\n\r\nTo make your dataset unreadable, load faster, and to package it into a neat file.\r\n\r\n\r\n\r\n```python\r\n\r\nfrom neuralite.interpreter import ai # Imports framework\r\n\r\n\r\n\r\nassistant = ai('dataset.json') # Loads dataset\r\n\r\n\r\n\r\nassistant.compile('model.nlite') # Packages dataset to 'model.nlite'\r\n\r\n```\r\n\r\n\r\n\r\n# Loading a Compiled Model \ud83d\udd13\r\n\r\nTo load a precompiled model.\r\n\r\n\r\n\r\n```python\r\n\r\nfrom neuralite.interpreter import ai # Imports framework\r\n\r\n\r\n\r\nassistant = ai.compiled('model.nlite') # Loads the compiled model\r\n\r\n\r\n\r\ncycle_end = False # Starts the AI cycle\r\n\r\n\r\n\r\nwhile not cycle_end: # Main cycle\r\n\r\n message = input(\"Enter a message: \") # Prompts user with message\r\n\r\n if message.lower() == \"stop\": # Exit with 'stop'\r\n\r\n cycle_end = True # Ends cycle\r\n\r\n else:\r\n\r\n print(assistant.process_input(message)) # Prints the response\r\n\r\n```\r\n\r\n# Example Conversational Dataset \ud83d\udcac\r\n\r\n```json\r\n\r\n{\r\n\r\n \"greeting\": [\"Hi\", \"Hello\", \"Hey there\"],\r\n\r\n \"greeting_responses\": [\"Hello!\", \"Hi, how can I help?\", \"Hey! What's up?\"],\r\n\r\n \"farewell\": [\"Goodbye\", \"See you\", \"Ciao\"],\r\n\r\n \"farewell_responses\": [\"Goodbye!\", \"See you soon!\", \"Take care!\"],\r\n\r\n \"how_are_you\": [\"How are you?\", \"How's it going?\", \"What's up?\"],\r\n\r\n \"how_are_you_responses\": [\"I'm good, thank you!\", \"I'm doing well. How about you?\", \"Not much, what about you?\"],\r\n\r\n \"compliment\": [\"You're great!\", \"You're amazing!\", \"You're awesome!\"],\r\n\r\n \"compliment_responses\": [\"Thank you! You're pretty awesome too.\", \"Thanks! You're great as well!\", \"Thanks! That means a lot.\"],\r\n\r\n \"name\": [\"What's your name?\", \"Who are you?\", \"Tell me your name.\"],\r\n\r\n \"name_responses\": [\"I'm Neuralite, your AI assistant.\", \"Call me Neuralite.\", \"I'm Neuralite! Nice to meet you.\"],\r\n\r\n \"jokes\": [\"Tell me a joke.\", \"Do you know any jokes?\", \"Make me laugh.\"],\r\n\r\n \"jokes_responses\": [\"Why did the scarecrow win an award? Because he was outstanding in his field!\", \"I told my computer I needed a break. Now it won't stop sending me Kit-Kats.\", \"Why did the math book look sad? Because it had too many problems.\"]\r\n\r\n}\r\n\r\n```\r\n",
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