pip install emotion_ai_api
emotion_ai = EmotionAI(base_url="https://api.emotion-ai.io", api_key="YOUR_API_KEY")
text = "This is the text to be analyzed." user_id = "USER_ID"
response = emotion_ai.analyze_user_text(text, user_id) emotion_ai.pretty_print_response(response)
Metadata
Release files for emotion-ai-api 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| emotion_ai_api-0.1.9.tar.gz | 2.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| emotion_ai_api-0.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.6 kB
Release files / emotion_ai_api-0.1.9.tar.gz
| Download URL | emotion_ai_api-0.1.9.tar.gz |
|---|---|
| Size | 2.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2af91cc4a6682bd4cd1ecc483b014a0f964b9586cfec4cbe1a0c433c9aba4a47
|
|
BLAKE2b-256 checksum How to use checksums |
21ba9f600b59e6b19d4f57738b37f8c260f9e987272912c4da2a5e5a6b311f40
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.5
|
Release files / emotion_ai_api-0.1.9-py3-none-any.whl
| Download URL | emotion_ai_api-0.1.9-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7f2241431bed290902407be3c6cf3ea913db40dd0f66a23e0e2f291c1c9eed0b
|
|
BLAKE2b-256 checksum How to use checksums |
f3de5c6778a937ab69d542040cb85a644052ccc640ebf56fd6fa3492c6c51507
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.5
|