Instructions to use siddharthbulia/therapy-bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use siddharthbulia/therapy-bot with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="siddharthbulia/therapy-bot")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("siddharthbulia/therapy-bot")
model = AutoModelForCausalLM.from_pretrained("siddharthbulia/therapy-bot")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use siddharthbulia/therapy-bot with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "siddharthbulia/therapy-bot"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "siddharthbulia/therapy-bot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/siddharthbulia/therapy-bot

SGLang

How to use siddharthbulia/therapy-bot with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "siddharthbulia/therapy-bot" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "siddharthbulia/therapy-bot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "siddharthbulia/therapy-bot" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "siddharthbulia/therapy-bot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use siddharthbulia/therapy-bot with Docker Model Runner:
```
docker model run hf.co/siddharthbulia/therapy-bot
```

Nintee Therapy Bot

Built an extremely helpful therapist bot who engages the patient and help the patient open up. The Bot has extremely high patient, knows everything about therapy and mental well-being, empathetic to the patient, wants best for the patient and give actionable advise to the patient which patient can use to improve his day-to-day life.

Bot is trained on Data from Pandora dataset. In the V2 version of Bot, Nintee Bot will leverage real transcripts from patients and world class therapist with proper consent from patient with complete anonymity.

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