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initial gpt things
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.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/

app.py

Lines changed: 16 additions & 3 deletions
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@@ -1,9 +1,10 @@
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import torch
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from flask import Flask, Response, render_template
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from flask import Flask, Response, render_template, jsonify
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import cv2
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import time
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import numpy as np
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import warnings
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from util import get_response
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warnings.filterwarnings("ignore", category=FutureWarning, message=".*torch.cuda.amp.autocast.*")
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@@ -12,16 +13,24 @@
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model = torch.hub.load("ultralytics/yolov5", "custom", path="models/best.pt")
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camera = cv2.VideoCapture(0)
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detected_animals = {}
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def gen_frames():
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while True:
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success, frame = camera.read() # read the camera frame
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if not success:
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break
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else:
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results = model(frame)
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filtered_results = results.xyxy[0][results.xyxy[0][:, 4] >= 0.9]
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filtered_results = results.xyxy[0][results.xyxy[0][:, 4] >= 0.55]
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for *box, conf, cls in filtered_results:
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animal = model.names[int(cls)]
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if animal not in detected_animals:
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summary = get_response(animal)
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detected_animals[animal] = summary
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label = f'{model.names[int(cls)]} {conf:.2f}'
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cv2.rectangle(frame, (int(box[0]), int(box[1])), (int(box[2]), int(box[3])), (255, 0, 0), 2)
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cv2.putText(frame, label, (int(box[0]), int(box[1]) - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (255, 0, 0), 2)
@@ -36,11 +45,15 @@ def gen_frames():
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@app.route("/")
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def index():
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"""Video streaming home page."""
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return render_template("index.html")
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return render_template("index.html", detected_animals=detected_animals)
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@app.route("/video_feed")
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def video_feed():
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return Response(gen_frames(), mimetype='multipart/x-mixed-replace; boundary=frame')
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@app.route("/summaries")
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def summaries():
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return jsonify(detected_animals)
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if __name__ == "__main__":
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app.run(debug=False, use_reloader=False)

templates/index.html

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<body>
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<div class="container">
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<div class="row">
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<div class="col-lg-8 offset-lg-2">
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<div class="col-lg-8 offset-lg-2">
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<h3 class="mt-5">Live Streaming</h3>
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<img src="{{ url_for('video_feed') }}">
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<div id="summaries">
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<h4>Animal Summaries</h4>
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{% for animal, summary in detected_animals.items() %}
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<div class="summary-box">
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<h5>{{ animal }}</h5>
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<p>{{ summary }}</p>
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</div>
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{% endfor %}
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</div>
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</div>
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</div>
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</div>
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</body>
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</html>
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</body>
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</html>
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<script>
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function updateSummaries() {
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fetch('/summaries')
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.then(response => response.json())
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.then(data => {
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const summariesDiv = document.getElementById('summaries');
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summariesDiv.innerHTML = '<h4>Animal Summaries</h4>';
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for (const [animal, summary] of Object.entries(data)) {
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const summaryBox = document.createElement('div');
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summaryBox.className = 'summary-box';
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summaryBox.innerHTML = `<h5>${animal}</h5><p>${summary}</p>`;
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summariesDiv.appendChild(summaryBox);
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}
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});
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}
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setInterval(updateSummaries, 500); // Update every 5 seconds
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</script>

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