# Using your App

Congratulations on deploying your Private DeepSeek Chatbot! Below are the next steps to start using your AI assistant, whether through the web portal or via the API.

# Option 1: Using the Web Portal

If your deployment includes a web interface (e.g., Open WebUI), you can interact with your chatbot directly:

In the Bach Portal, navigate to the Projects page.
Select the application you would like to use and click .
Start chatting by entering prompts in the provided chat box.
Use additional features like:
- Code interpreter (if enabled)
- Chat history and saved responses
- Custom instructions for more tailored replies

# Example Usecases

Private Content Assistance – Draft and review confidential communications.
Secure Decision Support – Justify decisions without data exposure.
Confidential Knowledge Retrieval – Access insights while keeping data private.

# Option 2: Using the API

If you need to integrate the chatbot into your workflows, you can interact with it programmatically via an API.

# Basic API Request (Using cURL)

curl -X POST http://your-private-url/api/generate \
     -H "Content-Type: application/json" \
     -d '{
           "model": "deepseek-r1:7b",
           "prompt": "Explain quantum mechanics in simple terms",
           "stream": false
         }'

# Python Example

import requests

url = "http://your-private-url/api/generate"
data = {
    "model": "deepseek-r1:7b",
    "prompt": "Explain quantum mechanics in simple terms",
    "stream": False
}

response = requests.post(url, json=data)
print(response.json())

# Additional API Endpoints

Endpoint	Description
`/api/generate`	Generate responses from the chatbot
`/api/tags`	List available models
`/api/status`	Check server health

# Support

Run into an issue, or need some help implementing your Chatbot? Reach out to the team below!

Support

/docs/support