Metadata-Version: 2.1
Name: profit-pilot
Version: 0.0.7
Summary: ProfitPilot - AI Agents
Home-page: https://github.com/kyegomez/ProfitPilot
License: MIT
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering
Author: Kye Gomez
Author-email: kye@apac.ai
Requires-Python: >=3.6,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: faiss-gpu (==1.7.2)
Requires-Dist: langchain
Requires-Dist: langchain-experimental
Requires-Dist: openai
Requires-Dist: pandas
Requires-Dist: pydantic
Requires-Dist: torch
Requires-Dist: transformers
Project-URL: Repository, https://github.com/kyegomez/ProfitPilot
Description-Content-Type: text/markdown

# ProfitPilot
ProfitPilot is an autonomous AI sales professional agent.


# Installation
```pip install profit-pilot```

# Usage
```python
from profit.main import ProfitPilot



# Create an instance of the ProfitPilot class
pilot = ProfitPilot(
    openai_api_key="YOUR_OPENAI_API_KEY",
    ai_name="Athena",
    ai_role="Sales Representative",
    external_tools=None,
    company_name="ABC Company",
    company_values="Quality, Innovation, Customer Satisfaction",
    conversation_type="Cold Call",
    conversation_purpose="discuss our new product",
    company_business="Software Development",
    salesperson_name="John Doe",
    human_in_the_loop=False
)

# Define the task you want the agent to perform
task = "Hello, I'm calling to discuss our new product. Can I speak with the decision-maker?"

# Run the task using the ProfitPilot instance
pilot.run(task)

```
# Todo
- Worker
- Prompt,
- Tools, Zapier tool, email answering, summarizng, email understanding, email response
- Lead scraping, create tool that scrapes that scrapes on a website domain


## Requirements
- Email function tools
- Zapier tools
- Prompts
- pdf tool


# TO win Hackathon
- Focus on the story, why we're building this
- Build a seamless user experience


-----

![Clarifai logo](https://www.clarifai.com/hs-fs/hubfs/logo/Clarifai/clarifai-740x150.png?width=240)

# Clarifai App Module Template

This is a template repository to make it easy to get started creating a UI module with Clarifai.


## To use this repo

1. Click the "Use this template" green button on github to make a repo from this repo template and give it a name of the format module-{XYZ} filling in the XYZ portion. 
2. Clone the new repo as normal to your development environment.
3. `pip install -r requirements.txt` to make sure you have all the Python packages installed. Add any new packages to this requirements.txt file that you add during development.
4. Update the README.md to capture what your new module will do.
5. Rename the pages/*.py files as you desire and start filling them in to implement your module.
6. After you're tried things out locally, push your changes to github and get the git commit URL from there in order to create a module in Clarifai. 
7. Go to any app you can create in within Clarifai, select Modules on the left and "Create Module" button, then follow the steps.


