beautify-readmes

Author: christinapeng1

expression-measurement/batch/next-js-emotional-language/README.md

@@ -1,8 +1,10 @@
-# Next.js Emotional Language Example
-
-| API     | Models     | Framework            |
-| ------- | ---------- | -------------------- |
-| `batch` | `language` | Next.js (TypeScript) |
+<div align="center">
+  <img src="https://storage.googleapis.com/hume-public-logos/hume/hume-banner.png">
+  <h1>Expression Measurement | Next.js Emotional Language Example</h1>
+  <p>
+    <strong>Batch-analyze Language to Uncover Nuanced Human Expression.</strong>
+  </p>
+</div>
 
 [![Open in StackBlitz](https://developer.stackblitz.com/img/open_in_stackblitz.svg)](https://stackblitz.com/fork/github/HumeAI/hume-api-examples/tree/main/typescript-next-api-language)
 

expression-measurement/batch/python-top-emotions/README.md

@@ -1,8 +1,8 @@
 <div align="center">
   <img src="https://storage.googleapis.com/hume-public-logos/hume/hume-banner.png">
-  <h1>Batch Expression Measurement | Sample Python Implementation</h1>
+  <h1>Expression Measurement | Sample Python Implementation</h1>
   <p>
-    <strong>Jumpstart your development with Hume's Expression Measurement!</strong>
+    <strong>Batch-analyze Facial Expressions using Hume's Python SDK.</strong>
   </p>
 </div>
 

expression-measurement/batch/typescript-raw-text-processor/README.md

@@ -1,29 +1,48 @@
-# Hume Raw Text Processor
+<div align="center">
+  <img src="https://storage.googleapis.com/hume-public-logos/hume/hume-banner.png">
+  <h1>Expression Measurement | TypeScript Raw Text Processor</h1>
+  <p>
+    <strong>Batch-analyze Text using Hume's TypeScript SDK.</strong>
+  </p>
+</div>
 
-## Summary
+## Overview
 
 This project serves as an example implementation of our Expression Measurement (REST) API processing raw text using our [Typescript SDK](https://www.npmjs.com/package/hume).
 
 ## Running Locally
 
-1. Clone the repo with `git clone origin https://github.com/HumeAI/hume-api-examples.git`
+1. Clone this examples repository:
 
-2. Navigate to project directory `cd typescript-raw-text-processor`
+    ```shell
+    git clone https://github.com/humeai/hume-api-examples
+    cd hume-api-examples/expression-measurement/batch/typescript-raw-text-processor
+    ```
 
-3. Install dependencies with `npm i`
+2. Install dependencies:
 
-4. Setup environment variables
+    ```shell
+    npm install
+    ```
 
-   a. Create `.env` file based off of `.env.example`
+3. Set up your API key:
 
-   b. Copy/paste your API key in from the [Portal](https://beta.hume.ai/settings/keys).
+    You must authenticate to use the Hume Expression Measurement API. Your API key can be retrieved from the [Hume AI platform](https://platform.hume.ai/settings/keys). For detailed instructions, see our documentation on [getting your api keys](https://dev.hume.ai/docs/introduction/api-key).
 
-5. Set configurations within the `src/index.ts` file.
+    This example uses [dotenv](https://www.npmjs.com/package/dotenv). Place your API key in a `.env` file at the root of your project.
+
+    ```shell
+    echo "HUME_API_KEY='<YOUR API KEY>'" > .env
+    ```
+
+    You can copy the `.env.example` file to use as a template.
+
+4. Set configurations within the `src/index.ts` file.
 
    a. Specify which language.
 
    b. Copy and paste the text to be processed.
 
    c. Set Language Model configurations.
 
-6. Run `npm run start` to process the specified text with the specified configurations and log predictions to the console.
+5. Run `npm run start` to process the specified text with the specified configurations and log predictions to the console.

expression-measurement/streaming/next-js-streaming-example/README.md

@@ -1,6 +1,12 @@
-# Sandbox
-
-## About
+<div align="center">
+  <img src="https://storage.googleapis.com/hume-public-logos/hume/hume-banner.png">
+  <h1>Expression Measurement | Next.js Streaming Example</h1>
+  <p>
+    <strong>Real-time Streaming of Facial, Vocal, and Language Expressions.</strong>
+  </p>
+</div>
+
+## Overview
 
 This repo contains a NextJS app for demoing and testing Hume APIs. It implements several streaming interfaces that provide an intuitive validation of model quality.