| Name | Classy-AI JSON |
| Version |
0.0.11
JSON |
| download |
| home_page | https://github.com/Mrpi314tech/Classy |
| Summary | A python module that utilizes AI to classify natural language into categories for processing with other models. |
| upload_time | 2024-08-28 22:16:37 |
| maintainer | None |
| docs_url | None |
| author | Mrpi314tech |
| requires_python | None |
| license | None |
| keywords |
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| VCS |
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| bugtrack_url |
|
| requirements |
No requirements were recorded.
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# Classy
## How to use
Install:
<pre><code>pip install Classy-AI</code></pre>
Setup: **Only do this if you plan to run the model locally**
<pre><code>import Classy
Classy.download()</code></pre>
Downloads "data.pth" to your working directory. Also downloads the NLTK "punkt" tokenizer
Usage (Complete version for a server):
<pre><code>import Classy
Classy.init('/path/to/data.pth','OpenAI api key')
primary, secondary, stemmed, organized = Classy.server("hello, how are you?")</code></pre>
Usage (Just the classifier)
<pre><code>import Classy
intent, certainty = Classy.classify("hello, how are you?",'/path/to/data.pth')</code></pre>
## API
Usage
<pre><code>import Classy
intent, certainty = Classy.classify_api("hello, how are you?")</code></pre>
Go to http://chat.mrpi314.com/api to learn about how to use the api yourself.
## Other tools
GPT:<pre><code>Classy.chat_gpt(input,model,api_key)</code></pre>
DALL-E:<pre><code>Classy.dall_e(input,model,size,api_key)</code></pre>
Search:<pre><code>Classy.search(input,model,api_key)</code></pre>
Personal:<pre><code>Classy.personal(input)</code></pre>
## Example:
<pre><code>import Classy
api_key='sk-proj-api-key'
while True:
var=input(': ')
output,prob= Classy.classify_api(var)
final=''
secondary=''
if output == 'GPT' and prob >= 0.7:
final=Classy.chat_gpt(var,"gpt-4o-mini",api_key)
elif output == 'Dall-e' and prob >= 0.7:
final=Classy.dall_e(var,"dall-e-3","1024x1024",api_key)
elif output == 'Search' and prob >= 0.7:
final=Classy.search(var,"gpt-4o-mini",api_key)
elif output == 'Personal' and prob >= 0.7:
final,secondary,x,y=Classy.personal(var)
print(final)
if secondary:
print(secondary)
</code></pre>
## I need more training data
Open a pull request if you have some and put it in unorganized data. I will format it. If you have organized data, put it directly in the intents.json file.
An easy way to contribute is by scrolling through your ChatGPT conversations/Google searches/DALL-E inputs and pasting some of your own data into the unformatted data file.
# Deployed here:
http://chat.mrpi314.com
Uses models gpt-4o-mini and dall-e-3.
I can add a custom password for you on the website if you add training data. Message me at 123scoring@gmail.com. Put in the description of the pull request that you want a custom password for your Openai key.
## Thanks
Thanks to [Patrick Loeber](https://github.com/patrickloeber) for teaching me PyTorch
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"description": "# Classy\n## How to use\nInstall: \n<pre><code>pip install Classy-AI</code></pre>\nSetup: **Only do this if you plan to run the model locally**\n<pre><code>import Classy\nClassy.download()</code></pre>\nDownloads \"data.pth\" to your working directory. Also downloads the NLTK \"punkt\" tokenizer\n\n\nUsage (Complete version for a server):\n<pre><code>import Classy\nClassy.init('/path/to/data.pth','OpenAI api key')\nprimary, secondary, stemmed, organized = Classy.server(\"hello, how are you?\")</code></pre>\nUsage (Just the classifier)\n<pre><code>import Classy\nintent, certainty = Classy.classify(\"hello, how are you?\",'/path/to/data.pth')</code></pre>\n\n## API\n\nUsage\n<pre><code>import Classy\nintent, certainty = Classy.classify_api(\"hello, how are you?\")</code></pre>\n\n\nGo to http://chat.mrpi314.com/api to learn about how to use the api yourself.\n\n\n## Other tools\nGPT:<pre><code>Classy.chat_gpt(input,model,api_key)</code></pre>\nDALL-E:<pre><code>Classy.dall_e(input,model,size,api_key)</code></pre>\nSearch:<pre><code>Classy.search(input,model,api_key)</code></pre>\nPersonal:<pre><code>Classy.personal(input)</code></pre>\n\n## Example:\n<pre><code>import Classy\napi_key='sk-proj-api-key'\nwhile True:\n var=input(': ')\n output,prob= Classy.classify_api(var)\n final=''\n secondary=''\n if output == 'GPT' and prob >= 0.7:\n final=Classy.chat_gpt(var,\"gpt-4o-mini\",api_key)\n elif output == 'Dall-e' and prob >= 0.7:\n final=Classy.dall_e(var,\"dall-e-3\",\"1024x1024\",api_key)\n elif output == 'Search' and prob >= 0.7:\n final=Classy.search(var,\"gpt-4o-mini\",api_key)\n elif output == 'Personal' and prob >= 0.7:\n final,secondary,x,y=Classy.personal(var)\n print(final)\n if secondary:\n print(secondary)\n</code></pre>\n\n## I need more training data\n\nOpen a pull request if you have some and put it in unorganized data. I will format it. If you have organized data, put it directly in the intents.json file.\n\nAn easy way to contribute is by scrolling through your ChatGPT conversations/Google searches/DALL-E inputs and pasting some of your own data into the unformatted data file.\n# Deployed here:\nhttp://chat.mrpi314.com\n\nUses models gpt-4o-mini and dall-e-3.\n\nI can add a custom password for you on the website if you add training data. Message me at 123scoring@gmail.com. Put in the description of the pull request that you want a custom password for your Openai key. \n\n\n## Thanks\nThanks to [Patrick Loeber](https://github.com/patrickloeber) for teaching me PyTorch\n",
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