From b61a45c052c25b0a6b1bad4df6e82b8a93b3cde3 Mon Sep 17 00:00:00 2001 From: twitchard Date: Fri, 25 Apr 2025 14:13:23 -0700 Subject: [PATCH 1/5] wip --- .../streaming/python-example/.env.example | 1 + .../streaming/python-example/.gitignore | 29 ++ .../streaming/python-example/README.md | 44 +++ .../streaming/python-example/main.py | 103 +++++ .../streaming/python-example/pyproject.toml | 13 + .../streaming/python-example/uv.lock | 367 ++++++++++++++++++ 6 files changed, 557 insertions(+) create mode 100644 expression-measurement/streaming/python-example/.env.example create mode 100644 expression-measurement/streaming/python-example/.gitignore create mode 100644 expression-measurement/streaming/python-example/README.md create mode 100644 expression-measurement/streaming/python-example/main.py create mode 100644 expression-measurement/streaming/python-example/pyproject.toml create mode 100644 expression-measurement/streaming/python-example/uv.lock diff --git a/expression-measurement/streaming/python-example/.env.example b/expression-measurement/streaming/python-example/.env.example new file mode 100644 index 00000000..bb9e3891 --- /dev/null +++ b/expression-measurement/streaming/python-example/.env.example @@ -0,0 +1 @@ +HUME_API_KEY=your_api_key_here \ No newline at end of file diff --git a/expression-measurement/streaming/python-example/.gitignore b/expression-measurement/streaming/python-example/.gitignore new file mode 100644 index 00000000..11800b14 --- /dev/null +++ b/expression-measurement/streaming/python-example/.gitignore @@ -0,0 +1,29 @@ +# Environment variables +.env + +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +env/ +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +*.egg-info/ +.installed.cfg +*.egg + +# Virtual environments +.venv/ +venv/ +ENV/ \ No newline at end of file diff --git a/expression-measurement/streaming/python-example/README.md b/expression-measurement/streaming/python-example/README.md new file mode 100644 index 00000000..0576f3ce --- /dev/null +++ b/expression-measurement/streaming/python-example/README.md @@ -0,0 +1,44 @@ +# Simple Hume Streaming API Example + +This example demonstrates how to use the Hume Expression Measurement Streaming API with the language model. It provides a simple command-line interface to analyze emotions in text in real-time. + +## Features + +- Takes text input from standard input +- Streams the text to the Hume API for language emotion analysis +- Displays emotion scores in real-time on the console + +## Setup + +1. Copy the `.env.example` file to `.env` and add your Hume API key: + ``` + cp .env.example .env + ``` + +2. Edit `.env` and replace `your_api_key_here` with your actual Hume API key + +3. Create a virtual environment and install dependencies using `uv`: + ``` + uv venv + uv pip install -e . + ``` + +## Usage + +Run the example with `uv`: +``` +uv run main.py +``` + +Or using standard Python: +``` +python main.py +``` + +Type text and press Enter to analyze the emotions in the text. The example will display the emotion scores sorted from highest to lowest. + +Type `exit` or press Ctrl+C to exit the application. + +## How it Works + +The example uses the Hume Python SDK to establish a WebSocket connection to the Hume Expression Measurement Streaming API. It configures the connection to use the language model and streams text input for analysis. The API returns emotion scores, which are displayed on the console. \ No newline at end of file diff --git a/expression-measurement/streaming/python-example/main.py b/expression-measurement/streaming/python-example/main.py new file mode 100644 index 00000000..7a173fc1 --- /dev/null +++ b/expression-measurement/streaming/python-example/main.py @@ -0,0 +1,103 @@ +#!/usr/bin/env python3 +""" +Simple Hume Expression Measurement Streaming API example using the language model. +This example takes text input from stdin and outputs emotion summaries to stdout. +""" + +import asyncio +import os +import sys +from typing import List, Tuple, TypedDict +from dotenv import load_dotenv + +from hume import AsyncHumeClient +from hume.expression_measurement.stream.stream.types.config import Config +from hume.expression_measurement.stream.stream.types.stream_language import StreamLanguage +from hume.expression_measurement.stream.stream.types.stream_model_predictions import StreamModelPredictions +from hume.expression_measurement.stream.stream.types.subscribe_event import SubscribeEvent + +load_dotenv() + +API_KEY = os.getenv("HUME_API_KEY") +if not API_KEY: + print("Error: HUME_API_KEY environment variable not set") + print("Please create a .env file with your API key") + sys.exit(1) + +class Result(TypedDict): + text: str | None + scores: List[Tuple[str, float]] + +def process_emotion_scores(event: StreamModelPredictions) -> List[Result]: + if not hasattr(event, 'language') or event.language is None or event.language.predictions is None or len(event.language.predictions) == 0: + raise ValueError("Unexpected: event does not contain language data") + + ret: List[Result] = [] + for prediction in event.language.predictions: + ret.append({ + "scores": sorted( + [(item.name, item.score) for item in prediction.emotions or [] if item.name and item.score is not None], + key=lambda x: x[1], + reverse=True), + "text": prediction.text, + }) + return ret + +def print_emotion_summary(result: Result) -> None: + if not result: + print("No emotions detected") + return + + print("\nEmotion Analysis:") + print("-" * 40) + for emotion, score in result['scores'][:5]: # Show top 5 emotions + print(f"{emotion.ljust(15)}: {score:.4f}") + print("-" * 40) + +async def streaming_example() -> None: + """Main function to run the streaming example""" + client = AsyncHumeClient(api_key=API_KEY) + + language_config = StreamLanguage(granularity="sentence") + config = Config(language=language_config) + + print("Hume Language Emotion Streaming Example") + print("-" * 60) + + async with client.expression_measurement.stream.connect( + options={"config": config}, + ) as socket: + print("\nEnter text and press Enter to analyze emotions") + + while True: + try: + # Get user input + text = input("\nType 'exit' to quit\n> ") + if text.lower() == 'exit': + break + + if not text.strip(): + continue + + response = await socket.send_text(text=text) + + if (not response or not isinstance(response, StreamModelPredictions)): + print("Error: Invalid response from server") + continue + results = process_emotion_scores(response) + for result in results: + print_emotion_summary(result) + + except KeyboardInterrupt: + print("\nExiting...") + break + +def main(): + """Entry point for the script""" + try: + asyncio.run(streaming_example()) + except KeyboardInterrupt: + print("\nExiting...") + +if __name__ == "__main__": + main() diff --git a/expression-measurement/streaming/python-example/pyproject.toml b/expression-measurement/streaming/python-example/pyproject.toml new file mode 100644 index 00000000..358d0db6 --- /dev/null +++ b/expression-measurement/streaming/python-example/pyproject.toml @@ -0,0 +1,13 @@ +[project] +name = "hume-stream-simple" +version = "0.1.0" +description = "Simple Hume streaming example using language model" +requires-python = ">=3.9" +dependencies = [ + "hume", + "python-dotenv", +] + +[build-system] +requires = ["setuptools", "wheel"] +build-backend = 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a/expression-measurement/streaming/python-example/main.py +++ b/expression-measurement/streaming/python-example/main.py @@ -7,18 +7,15 @@ import asyncio import os import sys -from typing import List, Tuple, TypedDict +from typing import Dict, List, Tuple, TypedDict, cast from dotenv import load_dotenv -from hume import AsyncHumeClient -from hume.expression_measurement.stream.stream.types.config import Config -from hume.expression_measurement.stream.stream.types.stream_language import StreamLanguage -from hume.expression_measurement.stream.stream.types.stream_model_predictions import StreamModelPredictions -from hume.expression_measurement.stream.stream.types.subscribe_event import SubscribeEvent +from hume.legacy import HumeStreamClient +from hume.legacy.models.config import LanguageConfig load_dotenv() -API_KEY = os.getenv("HUME_API_KEY") +API_KEY = cast(str, os.getenv("HUME_API_KEY")) if not API_KEY: print("Error: HUME_API_KEY environment variable not set") print("Please create a .env file with your API key") @@ -28,18 +25,18 @@ class Result(TypedDict): text: str | None scores: List[Tuple[str, float]] -def process_emotion_scores(event: StreamModelPredictions) -> List[Result]: - if not hasattr(event, 'language') or event.language is None or event.language.predictions is None or len(event.language.predictions) == 0: +def process_emotion_scores(event: Dict) -> List[Result]: + if event['language'] is None or event['language']['predictions'] is None or len(event['language']['predictions']) == 0: raise ValueError("Unexpected: event does not contain language data") ret: List[Result] = [] - for prediction in event.language.predictions: + for prediction in event['language']['predictions']: ret.append({ "scores": sorted( - [(item.name, item.score) for item in prediction.emotions or [] if item.name and item.score is not None], + [(item['name'], item['score']) for item in prediction['emotions'] or [] if item['name'] and item['score'] is not None], key=lambda x: x[1], reverse=True), - "text": prediction.text, + "text": prediction['text'], }) return ret @@ -56,16 +53,16 @@ def print_emotion_summary(result: Result) -> None: async def streaming_example() -> None: """Main function to run the streaming example""" - client = AsyncHumeClient(api_key=API_KEY) + client = HumeStreamClient(api_key=API_KEY) - language_config = StreamLanguage(granularity="sentence") - config = Config(language=language_config) + language_config = LanguageConfig(granularity="sentence") + configs = [language_config] print("Hume Language Emotion Streaming Example") print("-" * 60) - async with client.expression_measurement.stream.connect( - options={"config": config}, + async with client.connect( + configs ) as socket: print("\nEnter text and press Enter to analyze emotions") @@ -81,9 +78,6 @@ async def streaming_example() -> None: response = await socket.send_text(text=text) - if (not response or not isinstance(response, StreamModelPredictions)): - print("Error: Invalid response from server") - continue results = process_emotion_scores(response) for result in results: print_emotion_summary(result) From aff5e3cf9ccf2bba2b2adbcb423995855bc3e412 Mon Sep 17 00:00:00 2001 From: twitchard Date: Fri, 25 Apr 2025 14:13:36 -0700 Subject: [PATCH 3/5] Revert "use legacy cilent" This reverts commit a34c16bae2a04e6c6a99d441946d8f08b497706d. --- .../streaming/python-example/main.py | 34 +++++++++++-------- 1 file changed, 20 insertions(+), 14 deletions(-) diff --git a/expression-measurement/streaming/python-example/main.py b/expression-measurement/streaming/python-example/main.py index 58266b47..7a173fc1 100644 --- a/expression-measurement/streaming/python-example/main.py +++ b/expression-measurement/streaming/python-example/main.py @@ -7,15 +7,18 @@ import asyncio import os import sys -from typing import Dict, List, Tuple, TypedDict, cast +from typing import List, Tuple, TypedDict from dotenv import load_dotenv -from hume.legacy import HumeStreamClient -from hume.legacy.models.config import LanguageConfig +from hume import AsyncHumeClient +from hume.expression_measurement.stream.stream.types.config import Config +from hume.expression_measurement.stream.stream.types.stream_language import StreamLanguage +from hume.expression_measurement.stream.stream.types.stream_model_predictions import StreamModelPredictions +from hume.expression_measurement.stream.stream.types.subscribe_event import SubscribeEvent load_dotenv() -API_KEY = cast(str, os.getenv("HUME_API_KEY")) +API_KEY = os.getenv("HUME_API_KEY") if not API_KEY: print("Error: HUME_API_KEY environment variable not set") print("Please create a .env file with your API key") @@ -25,18 +28,18 @@ class Result(TypedDict): text: str | None scores: List[Tuple[str, float]] -def process_emotion_scores(event: Dict) -> List[Result]: - if event['language'] is None or event['language']['predictions'] is None or len(event['language']['predictions']) == 0: +def process_emotion_scores(event: StreamModelPredictions) -> List[Result]: + if not hasattr(event, 'language') or event.language is None or event.language.predictions is None or len(event.language.predictions) == 0: raise ValueError("Unexpected: event does not contain language data") ret: List[Result] = [] - for prediction in event['language']['predictions']: + for prediction in event.language.predictions: ret.append({ "scores": sorted( - [(item['name'], item['score']) for item in prediction['emotions'] or [] if item['name'] and item['score'] is not None], + [(item.name, item.score) for item in prediction.emotions or [] if item.name and item.score is not None], key=lambda x: x[1], reverse=True), - "text": prediction['text'], + "text": prediction.text, }) return ret @@ -53,16 +56,16 @@ def print_emotion_summary(result: Result) -> None: async def streaming_example() -> None: """Main function to run the streaming example""" - client = HumeStreamClient(api_key=API_KEY) + client = AsyncHumeClient(api_key=API_KEY) - language_config = LanguageConfig(granularity="sentence") - configs = [language_config] + language_config = StreamLanguage(granularity="sentence") + config = Config(language=language_config) print("Hume Language Emotion Streaming Example") print("-" * 60) - async with client.connect( - configs + async with client.expression_measurement.stream.connect( + options={"config": config}, ) as socket: print("\nEnter text and press Enter to analyze emotions") @@ -78,6 +81,9 @@ async def streaming_example() -> None: response = await socket.send_text(text=text) + if (not response or not isinstance(response, StreamModelPredictions)): + print("Error: Invalid response from server") + continue results = process_emotion_scores(response) for result in results: print_emotion_summary(result) From 7ff5c8cfbfb8839acc95c03acea2a7ecf36ca156 Mon Sep 17 00:00:00 2001 From: twitchard Date: Fri, 25 Apr 2025 14:41:43 -0700 Subject: [PATCH 4/5] less extensive gitignore --- .../streaming/python-example/.gitignore | 28 +------------------ 1 file changed, 1 insertion(+), 27 deletions(-) diff --git a/expression-measurement/streaming/python-example/.gitignore b/expression-measurement/streaming/python-example/.gitignore index 11800b14..2d894b4d 100644 --- a/expression-measurement/streaming/python-example/.gitignore +++ b/expression-measurement/streaming/python-example/.gitignore @@ -1,29 +1,3 @@ -# Environment variables +.env*.local .env - -# Python -__pycache__/ -*.py[cod] -*$py.class -*.so -.Python -env/ -build/ -develop-eggs/ -dist/ -downloads/ -eggs/ -.eggs/ -lib/ -lib64/ -parts/ -sdist/ -var/ *.egg-info/ -.installed.cfg -*.egg - -# Virtual environments -.venv/ -venv/ -ENV/ \ No newline at end of file From 70c11b05fe81e3522e04aab068d69c3a988aae80 Mon Sep 17 00:00:00 2001 From: twitchard Date: Fri, 25 Apr 2025 14:49:57 -0700 Subject: [PATCH 5/5] better README.md and organization --- .../streaming/python-example/README.md | 44 ------------------- .../.env.example | 0 .../.gitignore | 0 .../python-streaming-example/README.md | 44 +++++++++++++++++++ .../main.py | 0 .../pyproject.toml | 0 .../uv.lock | 0 7 files changed, 44 insertions(+), 44 deletions(-) delete mode 100644 expression-measurement/streaming/python-example/README.md rename expression-measurement/streaming/{python-example => python-streaming-example}/.env.example (100%) rename expression-measurement/streaming/{python-example => python-streaming-example}/.gitignore (100%) create mode 100644 expression-measurement/streaming/python-streaming-example/README.md rename expression-measurement/streaming/{python-example => python-streaming-example}/main.py (100%) rename expression-measurement/streaming/{python-example => python-streaming-example}/pyproject.toml (100%) rename expression-measurement/streaming/{python-example => python-streaming-example}/uv.lock (100%) diff --git a/expression-measurement/streaming/python-example/README.md b/expression-measurement/streaming/python-example/README.md deleted file mode 100644 index 0576f3ce..00000000 --- a/expression-measurement/streaming/python-example/README.md +++ /dev/null @@ -1,44 +0,0 @@ -# Simple Hume Streaming API Example - -This example demonstrates how to use the Hume Expression Measurement Streaming API with the language model. It provides a simple command-line interface to analyze emotions in text in real-time. - -## Features - -- Takes text input from standard input -- Streams the text to the Hume API for language emotion analysis -- Displays emotion scores in real-time on the console - -## Setup - -1. Copy the `.env.example` file to `.env` and add your Hume API key: - ``` - cp .env.example .env - ``` - -2. Edit `.env` and replace `your_api_key_here` with your actual Hume API key - -3. Create a virtual environment and install dependencies using `uv`: - ``` - uv venv - uv pip install -e . - ``` - -## Usage - -Run the example with `uv`: -``` -uv run main.py -``` - -Or using standard Python: -``` -python main.py -``` - -Type text and press Enter to analyze the emotions in the text. The example will display the emotion scores sorted from highest to lowest. - -Type `exit` or press Ctrl+C to exit the application. - -## How it Works - -The example uses the Hume Python SDK to establish a WebSocket connection to the Hume Expression Measurement Streaming API. It configures the connection to use the language model and streams text input for analysis. The API returns emotion scores, which are displayed on the console. \ No newline at end of file diff --git a/expression-measurement/streaming/python-example/.env.example b/expression-measurement/streaming/python-streaming-example/.env.example similarity index 100% rename from expression-measurement/streaming/python-example/.env.example rename to expression-measurement/streaming/python-streaming-example/.env.example diff --git a/expression-measurement/streaming/python-example/.gitignore b/expression-measurement/streaming/python-streaming-example/.gitignore similarity index 100% rename from expression-measurement/streaming/python-example/.gitignore rename to expression-measurement/streaming/python-streaming-example/.gitignore diff --git a/expression-measurement/streaming/python-streaming-example/README.md b/expression-measurement/streaming/python-streaming-example/README.md new file mode 100644 index 00000000..327f958f --- /dev/null +++ b/expression-measurement/streaming/python-streaming-example/README.md @@ -0,0 +1,44 @@ +
+ +

Expression Measurement | Sample Python Implementation

+

+ Analyze language using Hume's Python SDK. +

+
+ +## Overview +This is a sample implementation of Hume's Expression Measurement using the Websocket interface in Hume's Python SDK. This example using the "language" model only, which is for analyzing the emotional content of of text. + +See the [python-top-emotions batch example](../../batch/python-top-emotions) for how to process pre-recorded media files (images) using the *Batch* API, and see the [next-js-streaming-example](../next-js-streaming-example) for an example of how to use the Streaming API on the web to process live data coming from a webcam or microphone. + +## Setup + +1. Copy the `.env.example` file to `.env` and add your Hume API key: + ``` + cp .env.example .env + ``` + +2. Edit `.env` and replace `your_api_key_here` with your actual Hume API key + +3. Create a virtual environment and install dependencies using `uv`: + ``` + uv venv + uv pip install -e . + ``` + +## Usage + +Run the example with `uv`: +``` +uv run main.py +``` + +Or using standard Python: +``` +python main.py +``` + +Type text and press Enter to analyze the emotions in the text. The example will display the emotion scores sorted from highest to lowest. + +Type `exit` or press Ctrl+C to exit the application. + diff --git a/expression-measurement/streaming/python-example/main.py b/expression-measurement/streaming/python-streaming-example/main.py similarity index 100% rename from expression-measurement/streaming/python-example/main.py rename to expression-measurement/streaming/python-streaming-example/main.py diff --git a/expression-measurement/streaming/python-example/pyproject.toml b/expression-measurement/streaming/python-streaming-example/pyproject.toml similarity index 100% rename from expression-measurement/streaming/python-example/pyproject.toml rename to expression-measurement/streaming/python-streaming-example/pyproject.toml diff --git a/expression-measurement/streaming/python-example/uv.lock b/expression-measurement/streaming/python-streaming-example/uv.lock similarity index 100% rename from expression-measurement/streaming/python-example/uv.lock rename to expression-measurement/streaming/python-streaming-example/uv.lock