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🤖 Python Generate with TensorFlow Function

Generate text using a TensorFlow-based RNN model.

🧰 Usage

GET /

HTML form for interacting with the function.

POST /

Query the model for a text generation completion.

Parameters

Name Description Location Type Sample Value
Content-Type The content type of the request body Header application/json N/A
prompt Text to prompt the model Body String Once upon a time

Sample 200 Response:

Response from the model.

{
  "ok": true,
  "completion": "Once upon a time, in a land far, far away, there lived a wise old owl."
}

Sample 400 Response:

Response when the request body is missing.

{
  "ok": false,
  "error": "Missing body with a prompt."
}

Sample 500 Response:

Response when the model fails to respond.

{
  "ok": false,
  "error": "Failed to query model."
}

⚙️ Configuration

Setting Value
Runtime Python ML (3.11)
Entrypoint src/main.py
Build Commands pip install -r requirements.txt && python src/train.py
Permissions any
Timeout (Seconds) 30