1st working version

.gitignore

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

app.py

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+import gradio as gr
+from utils import load_model, load_image_from_url, inference
+
+
+TITLE = """
+<p align="right">
+<img alt="Static Badge" src="https://img.shields.io/badge/SEA.AI-beta-blue">
+</p>
+<div align="center">
+<h1>RGB Detection Demo</h1>
+Give it a try! Upload an image or enter a URL to an image and click submit.
+</div>
+"""
+
+NOTICE = """
+Don't like what you see? Help us improve the model by flagging
+incorrect predictions. Click on `Flag` to submit the image to
+us for review and we'll use it to improve the A.I.
+"""
+
+
+model = load_model("SEA-AI/yolov5n6-RGB", img_size=1280)
+model.conf = 0.25
+model.iou = 0.4
+model.max_det = 100
+model.agnostic = True  # NMS class-agnostic
+
+# This callback will be used to flag images
+callback = gr.CSVLogger()
+
+css = """
+h1 {
+    text-align: center;
+    display: block;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+    gr.Markdown(value=TITLE)
+
+    with gr.Row():
+        with gr.Column():
+            img_input = gr.Image(label="input", interactive=True)
+            img_url = gr.Textbox(
+                lines=1,
+                placeholder="or enter URL to image here",
+                label="input_url",
+                show_label=False,
+            )
+            with gr.Row():
+                clear = gr.ClearButton()
+                submit = gr.Button("Submit", variant="primary")
+        with gr.Column():
+            img_output = gr.Image(
+                label="output", interactive=False, show_share_button=True
+            )
+            flag = gr.Button("Flag", visible=False)
+            notice = gr.Markdown(value=NOTICE, visible=False)
+
+    gr.Examples(
+        examples=[
+            "https://images.pexels.com/photos/273886/pexels-photo-273886.jpeg?auto=compress&cs=tinysrgb&w=1260&h=750&dpr=2",
+            "https://images.pexels.com/photos/913111/pexels-photo-913111.jpeg?auto=compress&cs=tinysrgb&w=1260&h=750&dpr=2",
+            "https://images.pexels.com/photos/88517/pexels-photo-88517.jpeg?auto=compress&cs=tinysrgb&w=1260&h=750&dpr=2",
+        ],
+        inputs=img_input,
+        outputs=img_output,
+        fn=lambda image: inference(model, image),
+        cache_examples=True,
+    )
+
+    # add components to clear
+    clear.add([img_input, img_url, img_output])
+
+    # event listeners
+    img_url.change(load_image_from_url, [img_url], img_input)
+    submit.click(lambda *args: inference(model, args), [img_input], img_output)
+
+    @img_output.change(inputs=[img_output], outputs=[flag, notice])
+    def show_hide(img_output):
+        visible = img_output is not None
+        return {
+            flag: gr.Button("Flag", visible=visible),
+            notice: gr.Markdown(value=NOTICE, visible=visible),
+        }
+
+    # This needs to be called prior to the first call to callback.flag()
+    callback.setup([img_input, img_url, img_output], "flagged")
+
+    # We can choose which components to flag (in this case, we'll flag all)
+    flag.click(
+        lambda *args: callback.flag(args),
+        [img_input, img_url, img_output],
+        None,
+        preprocess=False,
+    ).then(lambda: gr.Info("Thank you for contributing!"))
+
+
+demo.launch()

requirements.txt

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+yolov5
+pillow

utils.py

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+import os
+import requests
+from io import BytesIO
+import numpy as np
+from PIL import Image
+import yolov5
+from yolov5.utils.plots import Annotator, colors
+import gradio as gr
+
+
+def load_model(model_path, img_size=640):
+    HF_TOKEN = os.getenv("HF_TOKEN")
+    if HF_TOKEN is not None:  # assume SECRET variable is set
+        model = yolov5.load(model_path, hf_token=HF_TOKEN)
+    else:
+        model = yolov5.load(model_path)
+    model.img_size = img_size  # add img_size attribute
+    return model
+
+
+def load_image_from_url(url):
+    if not url:  # empty or None
+        return gr.Image(interactive=True)
+    try:
+        response = requests.get(url, timeout=5)
+        image = Image.open(BytesIO(response.content))
+    except Exception as e:
+        raise gr.Error("Unable to load image from URL") from e
+    return image.convert("RGB")
+
+
+def inference(model, image):
+    results = model(image, size=model.img_size)
+    annotator = Annotator(np.asarray(image))
+    for *box, _, cls in reversed(results.pred[0]):
+        # label = f'{model.names[int(cls)]} {conf:.2f}'
+        # print(f'{cls} {conf:.2f} {box}')
+        annotator.box_label(box, "", color=colors(cls, True))
+    return annotator.im