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GPT-trainer - AI Chatbot over Your Own Data

Create your own AI helper that gives you the information you need, whenever you need it. You don't need to know how to code!
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GPT-trainer - AI Chatbot over Your Own Data
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Introduction

GPT Trainer is an AI chatbot builder that allows users to create context-aware chatbots using their own data. It supports various data input methods, including direct upload, cloud drive import, URL scraping, and text input. The chatbots can be embedded on websites or used in Slack, making it a versatile tool for businesses and individuals alike.

Feature

Data Integration and Storage

  • Upload data directly or import from cloud drives
  • Automatic URL scraping for content
  • Direct text input option
  • Data stored on AWS servers in Oregon, USA

Multilingual Support

  • Utilizes OpenAI's GPT-3.5 and GPT-4 models
  • Supports over 95 languages

Flexible Data Format

  • Accepts various text document formats (.pdf, .docx, .txt, .md, .tex)
  • URL scraping for text content
  • Direct text input

Customizable GPT Model Selection

  • Currently offers GPT-3.5-turbo and GPT-4
  • Plans to add more LLMs in the future (e.g., Google Bard, Meta LLaMA, Anthropic Claude)

Easy Integration

  • Embed chatbots on websites
  • Use chatbots in Slack

Affordable Pricing

  • Free extension with 20 GPT-4 conversations per day
  • Subscription options available for higher usage

Versatile Applications

  • Customer support
  • HR and onboarding processes
  • Language translation
  • Documentation assistance

FAQ

Where is my data stored?

Data is stored on Amazon Web Services (AWS) servers located in Oregon, USA.

Does it support other languages?

Yes, GPT Trainer supports over 95 languages, leveraging the multilingual capabilities of OpenAI's GPT models.

What data formats are supported?

GPT Trainer supports most text document formats, including .pdf, .docx, .txt, .md, and .tex. It also allows URL scraping and direct text input.

Which GPT models are used?

Currently, GPT Trainer offers GPT-3.5-turbo and GPT-4 as options, with plans to add more LLMs in the future.

Can I share a chatbot I created?

While not explicitly stated, you can embed the chatbot on your website or use it in Slack, which suggests some level of sharing capability.

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This is a guide on how to save multiple ChatGPT responses to Notion in a batch. 

Tools You'll Need:

* ChatGPT: An AI chatbot that can generate text.
* Notion: A note-taking and project management tool.
* Python: A programming language.
* Requests Library: A Python library for making HTTP requests.

Steps:

1. Get Your Notion API Token:
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   - Navigate to the "Integrations" tab.
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   - Copy your API token.

2. Install Python Libraries:
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3. Write Python Script:
   - Create a new Python file (e.g., `save_chatgpt_to_notion.py`).
   - Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token:

```python
import requests

def save_chatgpt_response_to_notion(response, page_id, token):
  """Saves a ChatGPT response to a Notion page."""
  url = f"https://api.notion.com/v1/pages/{page_id}/children"
  headers = {"Authorization": f"Bearer {token}"}
  data = {
    "parent": {
      "page_id": page_id
    },
    "properties": {
      "title": {
        "title": [
          {
            "text": {
              "content": "ChatGPT Response"
            }
          }
        ]
      },
      "content": {
        "rich_text": [
          {
            "text": {
              "content": response
            }
          }
        ]
      }
    }
  }
  response = requests.post(url, headers=headers, json=data)
  print(response.status_code)

Example usage
page_id = "YOUR_NOTION_PAGE_ID"
token = "YOUR_NOTION_API_TOKEN"

Get ChatGPT responses (replace with your actual ChatGPT interaction)
chatgpt_responses = [
  "This is the first ChatGPT response.",
  "This is the second ChatGPT response.",
  "This is the third ChatGPT response."
]

Save each response to Notion
for response in chatgpt_responses:
  save_chatgpt_response_to_notion(response, page_id, token)
```

4. Run the Script:
   - In your terminal, navigate to the directory where you saved the Python file.
   - Type `python save_chatgpt_to_notion.py` and press Enter.

5. Check Notion:
   - Open your Notion workspace and go to the page specified by `page_id`.
   - You should see your ChatGPT responses saved as separate blocks.
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