| Name | gpt-verse JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | None |
| upload_time | 2024-05-05 17:50:40 |
| maintainer | None |
| docs_url | None |
| author | Valerio Domenici |
| requires_python | <4.0,>=3.12 |
| license | None |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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No Travis.
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No coveralls.
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# GPT-Verse 🎩 -- Library under construction
<p align="center">
<img src="images\logo\GPT-verse.png" alt="Scrapegraph-ai Logo" style="width: 35%;">
</p>
The GPT-Verse library, is an innovative Python package designed for developers and enthusiasts working in the realm of natural language processing and generative pre-trained transformer models. With its dependency specified for Python 3.12, GPT-Verse ensures compatibility with the latest features and improvements of the Python programming language, ensuring users can leverage the most current language benefits.
## 💪 Features
- Language Generation: The GPT model excels at generating coherent and contextually relevant text based on input prompts. Users can expect GPT-Verse to provide APIs that allow them to generate text for a variety of applications, ranging from automated content creation to chatbots.
- Fine-tuning on Custom Datasets: A critical feature of GPT models is their ability to be fine-tuned on specific datasets. This allows the model to perform well on niche tasks or understand specific domains much better. GPT-Verse is likely to offer facilities to enable this fine-tuning, making it versatile for specialized applications.
- Language Understanding: Beyond generating text, GPT models are capable of understanding and parsing input text to perform tasks like sentiment analysis, summarization, and question answering. GPT-Verse may include functionalities that harness this capability, offering users tools for extracting insights from text or improving interaction with machine learning systems.
- Integration Ready: Given the nature of such libraries, GPT-Verse might be designed with integration in mind, facilitating its use alongside other Python libraries and frameworks in larger applications or systems.
## 💻 Installation
GPT-Verse requires Python 3.12 or later. It is recommended to use a virtual environment to manage the project dependencies.
To install GPT-Verse and its dependencies, follow these steps:
```bash
# Install the library from pipy
pip install gpt_verse==<last-code-version>
```
## ⚒️ Usage
1. **Use Langchain Agents as Tool**
To start indexing your documents, you need to prepare your documents in the supported formats (PDF, PPTX, XLSX, web pages, YouTube videos).
Example for indexing PDFs:
```python
# Initialize your embeddings model
from langchain_openai import ChatOpenAI
from langchain_community.tools.tavily_search import TavilySearchResults
from gpt_verse.personas import SecondPersona, FirstPersona
llm = ChatOpenAI(
model="gpt-4-turbo",
max_tokens=4096
)
tavily_tool = TavilySearchResults()
# Define the second agent (it will be the contact-center)
agent = FirstPersona(
llm=llm,
tools=[TavilySearchResults()],
prompt="Help me with my task"
)
seconda_persona = SecondPersona(
agent=agent.as_executor(),
name="Mario",
scope="search a job online",
instructions="give detailed instruction" # instruction will be given from the prima persona to the second persona
)
# Define the first agent (it will be the one to pass you to the contact-center agent)
prima_persona = FirstPersona(
llm=llm,
tools=[seconda_persona.as_tool()],
prompt="Help me with my task" # main scope of the agent
)
result = prima_persona.as_executor().invoke({"input": "can u help me find a job in python coding?"})
```
## 🤝 Contributing
Contributions are welcome! Feel free to open an issue or pull request if you have suggestions or improvements.
## 📜 License
Miner AI Beta is licensed under the MIT License. See the [MIT](LICENSE) file for more information.
## Acknowledgements
- We would like to thank all the contributors to the project and the open-source community for their support.
- GPT-Verse is meant to be used for ai data mining over documents and research purposes only. We are not responsible for any misuse of the library.
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"description": "# GPT-Verse \ud83c\udfa9 -- Library under construction\n\n<p align=\"center\">\n <img src=\"images\\logo\\GPT-verse.png\" alt=\"Scrapegraph-ai Logo\" style=\"width: 35%;\">\n</p>\n\nThe GPT-Verse library, is an innovative Python package designed for developers and enthusiasts working in the realm of natural language processing and generative pre-trained transformer models. With its dependency specified for Python 3.12, GPT-Verse ensures compatibility with the latest features and improvements of the Python programming language, ensuring users can leverage the most current language benefits.\n\n\n## \ud83d\udcaa Features\n\n- Language Generation: The GPT model excels at generating coherent and contextually relevant text based on input prompts. Users can expect GPT-Verse to provide APIs that allow them to generate text for a variety of applications, ranging from automated content creation to chatbots.\n\n- Fine-tuning on Custom Datasets: A critical feature of GPT models is their ability to be fine-tuned on specific datasets. This allows the model to perform well on niche tasks or understand specific domains much better. GPT-Verse is likely to offer facilities to enable this fine-tuning, making it versatile for specialized applications.\n\n- Language Understanding: Beyond generating text, GPT models are capable of understanding and parsing input text to perform tasks like sentiment analysis, summarization, and question answering. GPT-Verse may include functionalities that harness this capability, offering users tools for extracting insights from text or improving interaction with machine learning systems.\n\n- Integration Ready: Given the nature of such libraries, GPT-Verse might be designed with integration in mind, facilitating its use alongside other Python libraries and frameworks in larger applications or systems.\n\n## \ud83d\udcbb Installation\n\nGPT-Verse requires Python 3.12 or later. It is recommended to use a virtual environment to manage the project dependencies.\n\nTo install GPT-Verse and its dependencies, follow these steps:\n\n```bash\n# Install the library from pipy\npip install gpt_verse==<last-code-version>\n```\n\n## \u2692\ufe0f Usage\n\n1. **Use Langchain Agents as Tool**\n\n To start indexing your documents, you need to prepare your documents in the supported formats (PDF, PPTX, XLSX, web pages, YouTube videos).\n\n Example for indexing PDFs:\n\n ```python\n # Initialize your embeddings model\n from langchain_openai import ChatOpenAI\n from langchain_community.tools.tavily_search import TavilySearchResults\n from gpt_verse.personas import SecondPersona, FirstPersona\n\n llm = ChatOpenAI(\n model=\"gpt-4-turbo\",\n max_tokens=4096 \n )\n\n tavily_tool = TavilySearchResults()\n\n # Define the second agent (it will be the contact-center)\n agent = FirstPersona(\n llm=llm,\n tools=[TavilySearchResults()],\n prompt=\"Help me with my task\"\n )\n\n seconda_persona = SecondPersona(\n agent=agent.as_executor(),\n name=\"Mario\",\n scope=\"search a job online\",\n instructions=\"give detailed instruction\" # instruction will be given from the prima persona to the second persona\n )\n\n # Define the first agent (it will be the one to pass you to the contact-center agent)\n prima_persona = FirstPersona(\n llm=llm,\n tools=[seconda_persona.as_tool()],\n prompt=\"Help me with my task\" # main scope of the agent\n )\n\n result = prima_persona.as_executor().invoke({\"input\": \"can u help me find a job in python coding?\"})\n ```\n\n## \ud83e\udd1d Contributing\n\nContributions are welcome! Feel free to open an issue or pull request if you have suggestions or improvements.\n\n## \ud83d\udcdc License\n\nMiner AI Beta is licensed under the MIT License. See the [MIT](LICENSE) file for more information.\n\n## Acknowledgements\n\n- We would like to thank all the contributors to the project and the open-source community for their support.\n- GPT-Verse is meant to be used for ai data mining over documents and research purposes only. We are not responsible for any misuse of the library.",
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