Inference Logoinference shell
apps/infsh/dramabox

dramabox

Expressive text-to-speech with voice cloning. The prompt controls emotion, laughs, sighs, pauses and delivery.

run in browser →run via API
run with your agent
# install belt
$curl -fsSL https://cli.inference.sh | sh
# view schema & details
$belt app get infsh/dramabox
# run
$belt app run infsh/dramabox

api reference

about

expressive text-to-speech with voice cloning. the prompt controls emotion, laughs, sighs, pauses and delivery.

1. calling the api

install the client

the client provides a convenient way to interact with the api.

bash
1pip install inferencesh

setup your api key

set INFERENCE_API_KEY as an environment variable. get your key from settings → api keys.

bash
1export INFERENCE_API_KEY="inf_your_key"

run and get result

submit a request and wait for the final result. best for batch processing or when you don't need progress updates.

python
1from inferencesh import inference23client = inference()456result = client.run({7        "app": "infsh/dramabox",8        "input": {}9    })1011print(result["output"])

stream live updates

get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks.

python
1from inferencesh import inference23client = inference()456# stream=True yields updates as they arrive7for update in client.run({8        "app": "infsh/dramabox",9        "input": {}10    }, stream=True):11    if update.get("progress"):12        print(f"progress: {update['progress']}%")13    if update.get("output"):14        print(f"output: {update['output']}")

2. authentication

the api uses api keys for authentication. see the authentication docs for detailed setup instructions.

3. files

file inputs are automatically handled by the sdk. you can pass local paths, urls, or base64 data.

automatic upload

the python sdk automatically detects local file paths and uploads them. urls are passed through as-is.

python
1# local file paths are automatically uploaded2result = client.run({3    "app": "infsh/dramabox",4    "input": {5        "image": "/path/to/local/image.png",  # detected & uploaded6        "audio": "https://example.com/audio.mp3",  # url passed through7    }8})

manual upload

you can also upload files manually and use the returned url.

python
1# upload and get a hosted URL2file = client.files.upload("/path/to/file.png")3print(file.uri)  # https://cloud.inference.sh/...

4. webhooks

get notified when a task completes by providing a webhook url. when the task reaches a terminal state (completed, failed, or cancelled), a POST request is sent to your url with the task result.

python
1result = client.run({2    "app": "infsh/dramabox",3    "input": {},4    "webhook": "https://your-server.com/webhook"5}, wait=False)

webhook payload

your endpoint receives a JSON POST with the task result:

json
1{2  "id": "task_abc123",3  "status": 9,4  "output": { ... },5  "error": "",6  "session_id": null,7  "created_at": "2024-01-15T10:30:00Z",8  "updated_at": "2024-01-15T10:30:05Z"9}
idstring— task id
statusnumber— terminal status (9=completed, 10=failed, 11=cancelled)
outputobject— task output (when completed)
errorstring— error message (when failed)
session_idstring— session id (if using sessions)
created_atstring— iso timestamp
updated_atstring— iso timestamp

5. schema

input

promptstring*

scene-style prompt: <speaker description>, "<dialogue>" <stage direction> "<more dialogue>". text inside quotes is spoken; text outside quotes directs delivery (e.g. she sighs deeply.). laughs and sounds go inside quotes as one word ("hahaha", "mmmm", "ugh"). end the prompt at the last closing quote. long prompts are chunked automatically.

example: "A woman speaks warmly, \"Hello, how are you today?\" She laughs, \"Hahaha, it is so good to see you!\""
voice_referencestring(file)

optional voice reference to clone (10+ seconds recommended; first 10 s are used). match the speaker description to the reference's gender and age.

cfg_scalenumber

classifier-free guidance. lower = more natural, higher = more text-faithful.

default: 2.5min:1max:10
stg_scalenumber

skip-token guidance scale.

default: 1.5min:0max:5
durationnumber

target output length in seconds. 0 = estimate automatically from the prompt.

default: 0min:0max:300
duration_multipliernumber

headroom applied to the auto-estimated duration (ignored when duration is set).

default: 1.1min:0.5max:2
seedinteger

random seed for reproducible output.

default: 42min:0

output

audiostring(file)*

generated speech (wav, 48 khz, watermarked with resemble perth)

duration_secondsnumber*

length of the generated audio in seconds

ready to run dramabox?

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