add example embed index.html and link in README
Browse files- README.md +12 -4
- index.html +35 -0
README.md
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This Streamlit application streams video from the webcam, analyzes facial sentiment, and displays the results in real-time. It serves as a playground for computer vision projects, with an example facial sentiment analysis demo.
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## How to Use
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1. Clone the repository.
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- In the "Input Stream" section, under "Upload an Image", click on the "Choose an image..." button.
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- Select an image file (jpg, jpeg, png) from your computer.
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- The application will analyze the uploaded image and display the
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#### Image URL
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- In the "Input Stream" section, under "Or Enter Image URL", paste an image URL and press Enter.
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- The application will download and analyze the image from the provided URL and display the
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#### Uploading Videos
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- In the "Input Stream" section, under "Upload a Video", click on the "Choose a video..." button.
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- Select a video file (mp4, avi, mov, mkv) from your computer.
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- The application will analyze the video frames and display the
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#### Video URL
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- In the "Input Stream" section, under "Or Enter Video Download URL", paste a video URL and press Enter.
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- The application will download and analyze the video from the provided URL and display the
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## Customize the Analysis
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This Streamlit application streams video from the webcam, analyzes facial sentiment, and displays the results in real-time. It serves as a playground for computer vision projects, with an example facial sentiment analysis demo.
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For how to embed this space into an existing webpage see the example [index.html](https://huggingface.co/spaces/eusholli/sentiment-analyzer/blob/main/index.html) page.
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For further instructions and guidance from Hugging Face see [here](https://huggingface.co/docs/hub/en/spaces-embed)
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## How to Use
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1. Clone the repository.
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- In the "Input Stream" section, under "Upload an Image", click on the "Choose an image..." button.
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- Select an image file (jpg, jpeg, png) from your computer.
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- The application will analyze the uploaded image and display the analysis results.
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#### Image URL
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- In the "Input Stream" section, under "Or Enter Image URL", paste an image URL and press Enter.
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- The application will download and analyze the image from the provided URL and display the analysis results.
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#### YouTube URL
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- In the "Youtube URL" section, under "Enter a YouTube URL", paste a YouTube URL and press Enter.
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- The application will stream and analyze the video directly from YouTube and display the analysis results.
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#### Uploading Videos
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- In the "Input Stream" section, under "Upload a Video", click on the "Choose a video..." button.
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- Select a video file (mp4, avi, mov, mkv) from your computer.
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- The application will analyze the video frames and display the analysis results.
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#### Video URL
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- In the "Input Stream" section, under "Or Enter Video Download URL", paste a video URL and press Enter.
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- The application will download and analyze the video from the provided URL and display the analysis results.
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## Customize the Analysis
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index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Embed Streamlit App</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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margin: 0;
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padding: 0;
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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background-color: #f0f0f0;
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}
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.iframe-container {
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width: 80%;
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height: 90vh;
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box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
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}
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</style>
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</head>
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<body>
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<div class="iframe-container">
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<iframe src="https://eusholli-computer-vision-playground.hf.space" width="100%" height="100%"
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style="border:none;"></iframe>
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</div>
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</body>
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</html>
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