added files

.dockerignore

@@ -0,0 +1,15 @@
+*.ipynb_checkpoints
+.venv
+notebooks/logs
+__pycache__
+.env
+
+data/lfw-deepfunneled*
+data/lfw_facenet_embeddings.parquet
+data/lfw_facenet_embeddings_label_spreading.parquet
+data/embedding_projector_label_spreading/embeddings.tsv
+data/embedding_projector_label_spreading/metadata.tsv
+data/feedback
+data/lfw-colors.parquet
+data/lfw_season_embeddings_*.parquet
+data/classifier_weights_v1.pt

.gitignore

@@ -0,0 +1,15 @@
+*.ipynb_checkpoints
+.venv
+notebooks/logs
+__pycache__
+.env
+
+data/lfw-deepfunneled*
+data/lfw_facenet_embeddings.parquet
+data/lfw_facenet_embeddings_label_spreading.parquet
+data/embedding_projector_label_spreading/embeddings.tsv
+data/embedding_projector_label_spreading/metadata.tsv
+data/feedback
+data/lfw-colors.parquet
+data/lfw_season_embeddings_*.parquet
+data/classifier_weights_v1.pt

Dockerfile

@@ -0,0 +1,46 @@
+FROM python:3.10-slim
+LABEL python_version=python3.10
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    software-properties-common \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+
+# Poetry virtual environment setup
+ENV POETRY_NO_INTERACTION=1
+ENV POETRY_HOME=/opt/env
+ENV POETRY_CACHE_DIR=/opt/.cache
+# mandatory !!
+ENV POETRY_VIRTUALENVS_IN_PROJECT=1
+
+RUN python3 -m venv $POETRY_HOME
+RUN $POETRY_HOME/bin/pip install -U pip setuptools
+RUN $POETRY_HOME/bin/pip install poetry==1.8.3
+
+ENV PATH=$PATH:$POETRY_HOME/bin
+
+COPY pyproject.toml poetry.lock /app/ 
+WORKDIR /app
+
+# creating the poetry virtual environment
+RUN poetry install --without dev --no-root
+
+ENV PATH="/app/.venv/bin:$PATH"
+ENV PYTHONPATH="."
+
+COPY . .
+
+# download needed data from Hugging Face
+RUN wget https://huggingface.co/datasets/lajota13/lfw_facenet_embeddings/resolve/main/lfw_season_embeddings_train.parquet -O data/lfw_season_embeddings_train.parquet
+
+# download vggface2 weights for Facenet embeddings
+RUN wget https://github.com/timesler/facenet-pytorch/releases/download/v2.2.9/20180402-114759-vggface2.pt -O ~/.cache/torch/checkpoints/20180402-114759-vggface2.pt
+
+HEALTHCHECK CMD curl --fail http://localhost:$PORT/_stcore/health
+
+SHELL ["/bin/bash", "-c"]
+
+ENTRYPOINT streamlit run seasonal_color_analysis/fe.py --server.port=$PORT --server.address=0.0.0.0

LICENSE

@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights.  Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
+  For example, if you distribute copies of such a program, whether
+gratis or for a fee, you must pass on to the recipients the same
+freedoms that you received.  You must make sure that they, too, receive
+or can get the source code.  And you must show them these terms so they
+know their rights.
+
+  Developers that use the GNU GPL protect your rights with two steps:
+(1) assert copyright on the software, and (2) offer you this License
+giving you legal permission to copy, distribute and/or modify it.
+
+  For the developers' and authors' protection, the GPL clearly explains
+that there is no warranty for this free software.  For both users' and
+authors' sake, the GPL requires that modified versions be marked as
+changed, so that their problems will not be attributed erroneously to
+authors of previous versions.
+
+  Some devices are designed to deny users access to install or run
+modified versions of the software inside them, although the manufacturer
+can do so.  This is fundamentally incompatible with the aim of
+protecting users' freedom to change the software.  The systematic
+pattern of such abuse occurs in the area of products for individuals to
+use, which is precisely where it is most unacceptable.  Therefore, we
+have designed this version of the GPL to prohibit the practice for those
+products.  If such problems arise substantially in other domains, we
+stand ready to extend this provision to those domains in future versions
+of the GPL, as needed to protect the freedom of users.
+
+  Finally, every program is threatened constantly by software patents.
+States should not allow patents to restrict development and use of
+software on general-purpose computers, but in those that do, we wish to
+avoid the special danger that patents applied to a free program could
+make it effectively proprietary.  To prevent this, the GPL assures that
+patents cannot be used to render the program non-free.
+
+  The precise terms and conditions for copying, distribution and
+modification follow.
+
+                       TERMS AND CONDITIONS
+
+  0. Definitions.
+
+  "This License" refers to version 3 of the GNU General Public License.
+
+  "Copyright" also means copyright-like laws that apply to other kinds of
+works, such as semiconductor masks.
+
+  "The Program" refers to any copyrightable work licensed under this
+License.  Each licensee is addressed as "you".  "Licensees" and
+"recipients" may be individuals or organizations.
+
+  To "modify" a work means to copy from or adapt all or part of the work
+in a fashion requiring copyright permission, other than the making of an
+exact copy.  The resulting work is called a "modified version" of the
+earlier work or a work "based on" the earlier work.
+
+  A "covered work" means either the unmodified Program or a work based
+on the Program.
+
+  To "propagate" a work means to do anything with it that, without
+permission, would make you directly or secondarily liable for
+infringement under applicable copyright law, except executing it on a
+computer or modifying a private copy.  Propagation includes copying,
+distribution (with or without modification), making available to the
+public, and in some countries other activities as well.
+
+  To "convey" a work means any kind of propagation that enables other
+parties to make or receive copies.  Mere interaction with a user through
+a computer network, with no transfer of a copy, is not conveying.
+
+  An interactive user interface displays "Appropriate Legal Notices"
+to the extent that it includes a convenient and prominently visible
+feature that (1) displays an appropriate copyright notice, and (2)
+tells the user that there is no warranty for the work (except to the
+extent that warranties are provided), that licensees may convey the
+work under this License, and how to view a copy of this License.  If
+the interface presents a list of user commands or options, such as a
+menu, a prominent item in the list meets this criterion.
+
+  1. Source Code.
+
+  The "source code" for a work means the preferred form of the work
+for making modifications to it.  "Object code" means any non-source
+form of a work.
+
+  A "Standard Interface" means an interface that either is an official
+standard defined by a recognized standards body, or, in the case of
+interfaces specified for a particular programming language, one that
+is widely used among developers working in that language.
+
+  The "System Libraries" of an executable work include anything, other
+than the work as a whole, that (a) is included in the normal form of
+packaging a Major Component, but which is not part of that Major
+Component, and (b) serves only to enable use of the work with that
+Major Component, or to implement a Standard Interface for which an
+implementation is available to the public in source code form.  A
+"Major Component", in this context, means a major essential component
+(kernel, window system, and so on) of the specific operating system
+(if any) on which the executable work runs, or a compiler used to
+produce the work, or an object code interpreter used to run it.
+
+  The "Corresponding Source" for a work in object code form means all
+the source code needed to generate, install, and (for an executable
+work) run the object code and to modify the work, including scripts to
+control those activities.  However, it does not include the work's
+System Libraries, or general-purpose tools or generally available free
+programs which are used unmodified in performing those activities but
+which are not part of the work.  For example, Corresponding Source
+includes interface definition files associated with source files for
+the work, and the source code for shared libraries and dynamically
+linked subprograms that the work is specifically designed to require,
+such as by intimate data communication or control flow between those
+subprograms and other parts of the work.
+
+  The Corresponding Source need not include anything that users
+can regenerate automatically from other parts of the Corresponding
+Source.
+
+  The Corresponding Source for a work in source code form is that
+same work.
+
+  2. Basic Permissions.
+
+  All rights granted under this License are granted for the term of
+copyright on the Program, and are irrevocable provided the stated
+conditions are met.  This License explicitly affirms your unlimited
+permission to run the unmodified Program.  The output from running a
+covered work is covered by this License only if the output, given its
+content, constitutes a covered work.  This License acknowledges your
+rights of fair use or other equivalent, as provided by copyright law.
+
+  You may make, run and propagate covered works that you do not
+convey, without conditions so long as your license otherwise remains
+in force.  You may convey covered works to others for the sole purpose
+of having them make modifications exclusively for you, or provide you
+with facilities for running those works, provided that you comply with
+the terms of this License in conveying all material for which you do
+not control copyright.  Those thus making or running the covered works
+for you must do so exclusively on your behalf, under your direction
+and control, on terms that prohibit them from making any copies of
+your copyrighted material outside their relationship with you.
+
+  Conveying under any other circumstances is permitted solely under
+the conditions stated below.  Sublicensing is not allowed; section 10
+makes it unnecessary.
+
+  3. Protecting Users' Legal Rights From Anti-Circumvention Law.
+
+  No covered work shall be deemed part of an effective technological
+measure under any applicable law fulfilling obligations under article
+11 of the WIPO copyright treaty adopted on 20 December 1996, or
+similar laws prohibiting or restricting circumvention of such
+measures.
+
+  When you convey a covered work, you waive any legal power to forbid
+circumvention of technological measures to the extent such circumvention
+is effected by exercising rights under this License with respect to
+the covered work, and you disclaim any intention to limit operation or
+modification of the work as a means of enforcing, against the work's
+users, your or third parties' legal rights to forbid circumvention of
+technological measures.
+
+  4. Conveying Verbatim Copies.
+
+  You may convey verbatim copies of the Program's source code as you
+receive it, in any medium, provided that you conspicuously and
+appropriately publish on each copy an appropriate copyright notice;
+keep intact all notices stating that this License and any
+non-permissive terms added in accord with section 7 apply to the code;
+keep intact all notices of the absence of any warranty; and give all
+recipients a copy of this License along with the Program.
+
+  You may charge any price or no price for each copy that you convey,
+and you may offer support or warranty protection for a fee.
+
+  5. Conveying Modified Source Versions.
+
+  You may convey a work based on the Program, or the modifications to
+produce it from the Program, in the form of source code under the
+terms of section 4, provided that you also meet all of these conditions:
+
+    a) The work must carry prominent notices stating that you modified
+    it, and giving a relevant date.
+
+    b) The work must carry prominent notices stating that it is
+    released under this License and any conditions added under section
+    7.  This requirement modifies the requirement in section 4 to
+    "keep intact all notices".
+
+    c) You must license the entire work, as a whole, under this
+    License to anyone who comes into possession of a copy.  This
+    License will therefore apply, along with any applicable section 7
+    additional terms, to the whole of the work, and all its parts,
+    regardless of how they are packaged.  This License gives no
+    permission to license the work in any other way, but it does not
+    invalidate such permission if you have separately received it.
+
+    d) If the work has interactive user interfaces, each must display
+    Appropriate Legal Notices; however, if the Program has interactive
+    interfaces that do not display Appropriate Legal Notices, your
+    work need not make them do so.
+
+  A compilation of a covered work with other separate and independent
+works, which are not by their nature extensions of the covered work,
+and which are not combined with it such as to form a larger program,
+in or on a volume of a storage or distribution medium, is called an
+"aggregate" if the compilation and its resulting copyright are not
+used to limit the access or legal rights of the compilation's users
+beyond what the individual works permit.  Inclusion of a covered work
+in an aggregate does not cause this License to apply to the other
+parts of the aggregate.
+
+  6. Conveying Non-Source Forms.
+
+  You may convey a covered work in object code form under the terms
+of sections 4 and 5, provided that you also convey the
+machine-readable Corresponding Source under the terms of this License,
+in one of these ways:
+
+    a) Convey the object code in, or embodied in, a physical product
+    (including a physical distribution medium), accompanied by the
+    Corresponding Source fixed on a durable physical medium
+    customarily used for software interchange.
+
+    b) Convey the object code in, or embodied in, a physical product
+    (including a physical distribution medium), accompanied by a
+    written offer, valid for at least three years and valid for as
+    long as you offer spare parts or customer support for that product
+    model, to give anyone who possesses the object code either (1) a
+    copy of the Corresponding Source for all the software in the
+    product that is covered by this License, on a durable physical
+    medium customarily used for software interchange, for a price no
+    more than your reasonable cost of physically performing this
+    conveying of source, or (2) access to copy the
+    Corresponding Source from a network server at no charge.
+
+    c) Convey individual copies of the object code with a copy of the
+    written offer to provide the Corresponding Source.  This
+    alternative is allowed only occasionally and noncommercially, and
+    only if you received the object code with such an offer, in accord
+    with subsection 6b.
+
+    d) Convey the object code by offering access from a designated
+    place (gratis or for a charge), and offer equivalent access to the
+    Corresponding Source in the same way through the same place at no
+    further charge.  You need not require recipients to copy the
+    Corresponding Source along with the object code.  If the place to
+    copy the object code is a network server, the Corresponding Source
+    may be on a different server (operated by you or a third party)
+    that supports equivalent copying facilities, provided you maintain
+    clear directions next to the object code saying where to find the
+    Corresponding Source.  Regardless of what server hosts the
+    Corresponding Source, you remain obligated to ensure that it is
+    available for as long as needed to satisfy these requirements.
+
+    e) Convey the object code using peer-to-peer transmission, provided
+    you inform other peers where the object code and Corresponding
+    Source of the work are being offered to the general public at no
+    charge under subsection 6d.
+
+  A separable portion of the object code, whose source code is excluded
+from the Corresponding Source as a System Library, need not be
+included in conveying the object code work.
+
+  A "User Product" is either (1) a "consumer product", which means any
+tangible personal property which is normally used for personal, family,
+or household purposes, or (2) anything designed or sold for incorporation
+into a dwelling.  In determining whether a product is a consumer product,
+doubtful cases shall be resolved in favor of coverage.  For a particular
+product received by a particular user, "normally used" refers to a
+typical or common use of that class of product, regardless of the status
+of the particular user or of the way in which the particular user
+actually uses, or expects or is expected to use, the product.  A product
+is a consumer product regardless of whether the product has substantial
+commercial, industrial or non-consumer uses, unless such uses represent
+the only significant mode of use of the product.
+
+  "Installation Information" for a User Product means any methods,
+procedures, authorization keys, or other information required to install
+and execute modified versions of a covered work in that User Product from
+a modified version of its Corresponding Source.  The information must
+suffice to ensure that the continued functioning of the modified object
+code is in no case prevented or interfered with solely because
+modification has been made.
+
+  If you convey an object code work under this section in, or with, or
+specifically for use in, a User Product, and the conveying occurs as
+part of a transaction in which the right of possession and use of the
+User Product is transferred to the recipient in perpetuity or for a
+fixed term (regardless of how the transaction is characterized), the
+Corresponding Source conveyed under this section must be accompanied
+by the Installation Information.  But this requirement does not apply
+if neither you nor any third party retains the ability to install
+modified object code on the User Product (for example, the work has
+been installed in ROM).
+
+  The requirement to provide Installation Information does not include a
+requirement to continue to provide support service, warranty, or updates
+for a work that has been modified or installed by the recipient, or for
+the User Product in which it has been modified or installed.  Access to a
+network may be denied when the modification itself materially and
+adversely affects the operation of the network or violates the rules and
+protocols for communication across the network.
+
+  Corresponding Source conveyed, and Installation Information provided,
+in accord with this section must be in a format that is publicly
+documented (and with an implementation available to the public in
+source code form), and must require no special password or key for
+unpacking, reading or copying.
+
+  7. Additional Terms.
+
+  "Additional permissions" are terms that supplement the terms of this
+License by making exceptions from one or more of its conditions.
+Additional permissions that are applicable to the entire Program shall
+be treated as though they were included in this License, to the extent
+that they are valid under applicable law.  If additional permissions
+apply only to part of the Program, that part may be used separately
+under those permissions, but the entire Program remains governed by
+this License without regard to the additional permissions.
+
+  When you convey a copy of a covered work, you may at your option
+remove any additional permissions from that copy, or from any part of
+it.  (Additional permissions may be written to require their own
+removal in certain cases when you modify the work.)  You may place
+additional permissions on material, added by you to a covered work,
+for which you have or can give appropriate copyright permission.
+
+  Notwithstanding any other provision of this License, for material you
+add to a covered work, you may (if authorized by the copyright holders of
+that material) supplement the terms of this License with terms:
+
+    a) Disclaiming warranty or limiting liability differently from the
+    terms of sections 15 and 16 of this License; or
+
+    b) Requiring preservation of specified reasonable legal notices or
+    author attributions in that material or in the Appropriate Legal
+    Notices displayed by works containing it; or
+
+    c) Prohibiting misrepresentation of the origin of that material, or
+    requiring that modified versions of such material be marked in
+    reasonable ways as different from the original version; or
+
+    d) Limiting the use for publicity purposes of names of licensors or
+    authors of the material; or
+
+    e) Declining to grant rights under trademark law for use of some
+    trade names, trademarks, or service marks; or
+
+    f) Requiring indemnification of licensors and authors of that
+    material by anyone who conveys the material (or modified versions of
+    it) with contractual assumptions of liability to the recipient, for
+    any liability that these contractual assumptions directly impose on
+    those licensors and authors.
+
+  All other non-permissive additional terms are considered "further
+restrictions" within the meaning of section 10.  If the Program as you
+received it, or any part of it, contains a notice stating that it is
+governed by this License along with a term that is a further
+restriction, you may remove that term.  If a license document contains
+a further restriction but permits relicensing or conveying under this
+License, you may add to a covered work material governed by the terms
+of that license document, provided that the further restriction does
+not survive such relicensing or conveying.
+
+  If you add terms to a covered work in accord with this section, you
+must place, in the relevant source files, a statement of the
+additional terms that apply to those files, or a notice indicating
+where to find the applicable terms.
+
+  Additional terms, permissive or non-permissive, may be stated in the
+form of a separately written license, or stated as exceptions;
+the above requirements apply either way.
+
+  8. Termination.
+
+  You may not propagate or modify a covered work except as expressly
+provided under this License.  Any attempt otherwise to propagate or
+modify it is void, and will automatically terminate your rights under
+this License (including any patent licenses granted under the third
+paragraph of section 11).
+
+  However, if you cease all violation of this License, then your
+license from a particular copyright holder is reinstated (a)
+provisionally, unless and until the copyright holder explicitly and
+finally terminates your license, and (b) permanently, if the copyright
+holder fails to notify you of the violation by some reasonable means
+prior to 60 days after the cessation.
+
+  Moreover, your license from a particular copyright holder is
+reinstated permanently if the copyright holder notifies you of the
+violation by some reasonable means, this is the first time you have
+received notice of violation of this License (for any work) from that
+copyright holder, and you cure the violation prior to 30 days after
+your receipt of the notice.
+
+  Termination of your rights under this section does not terminate the
+licenses of parties who have received copies or rights from you under
+this License.  If your rights have been terminated and not permanently
+reinstated, you do not qualify to receive new licenses for the same
+material under section 10.
+
+  9. Acceptance Not Required for Having Copies.
+
+  You are not required to accept this License in order to receive or
+run a copy of the Program.  Ancillary propagation of a covered work
+occurring solely as a consequence of using peer-to-peer transmission
+to receive a copy likewise does not require acceptance.  However,
+nothing other than this License grants you permission to propagate or
+modify any covered work.  These actions infringe copyright if you do
+not accept this License.  Therefore, by modifying or propagating a
+covered work, you indicate your acceptance of this License to do so.
+
+  10. Automatic Licensing of Downstream Recipients.
+
+  Each time you convey a covered work, the recipient automatically
+receives a license from the original licensors, to run, modify and
+propagate that work, subject to this License.  You are not responsible
+for enforcing compliance by third parties with this License.
+
+  An "entity transaction" is a transaction transferring control of an
+organization, or substantially all assets of one, or subdividing an
+organization, or merging organizations.  If propagation of a covered
+work results from an entity transaction, each party to that
+transaction who receives a copy of the work also receives whatever
+licenses to the work the party's predecessor in interest had or could
+give under the previous paragraph, plus a right to possession of the
+Corresponding Source of the work from the predecessor in interest, if
+the predecessor has it or can get it with reasonable efforts.
+
+  You may not impose any further restrictions on the exercise of the
+rights granted or affirmed under this License.  For example, you may
+not impose a license fee, royalty, or other charge for exercise of
+rights granted under this License, and you may not initiate litigation
+(including a cross-claim or counterclaim in a lawsuit) alleging that
+any patent claim is infringed by making, using, selling, offering for
+sale, or importing the Program or any portion of it.
+
+  11. Patents.
+
+  A "contributor" is a copyright holder who authorizes use under this
+License of the Program or a work on which the Program is based.  The
+work thus licensed is called the contributor's "contributor version".
+
+  A contributor's "essential patent claims" are all patent claims
+owned or controlled by the contributor, whether already acquired or
+hereafter acquired, that would be infringed by some manner, permitted
+by this License, of making, using, or selling its contributor version,
+but do not include claims that would be infringed only as a
+consequence of further modification of the contributor version.  For
+purposes of this definition, "control" includes the right to grant
+patent sublicenses in a manner consistent with the requirements of
+this License.
+
+  Each contributor grants you a non-exclusive, worldwide, royalty-free
+patent license under the contributor's essential patent claims, to
+make, use, sell, offer for sale, import and otherwise run, modify and
+propagate the contents of its contributor version.
+
+  In the following three paragraphs, a "patent license" is any express
+agreement or commitment, however denominated, not to enforce a patent
+(such as an express permission to practice a patent or covenant not to
+sue for patent infringement).  To "grant" such a patent license to a
+party means to make such an agreement or commitment not to enforce a
+patent against the party.
+
+  If you convey a covered work, knowingly relying on a patent license,
+and the Corresponding Source of the work is not available for anyone
+to copy, free of charge and under the terms of this License, through a
+publicly available network server or other readily accessible means,
+then you must either (1) cause the Corresponding Source to be so
+available, or (2) arrange to deprive yourself of the benefit of the
+patent license for this particular work, or (3) arrange, in a manner
+consistent with the requirements of this License, to extend the patent
+license to downstream recipients.  "Knowingly relying" means you have
+actual knowledge that, but for the patent license, your conveying the
+covered work in a country, or your recipient's use of the covered work
+in a country, would infringe one or more identifiable patents in that
+country that you have reason to believe are valid.
+
+  If, pursuant to or in connection with a single transaction or
+arrangement, you convey, or propagate by procuring conveyance of, a
+covered work, and grant a patent license to some of the parties
+receiving the covered work authorizing them to use, propagate, modify
+or convey a specific copy of the covered work, then the patent license
+you grant is automatically extended to all recipients of the covered
+work and works based on it.
+
+  A patent license is "discriminatory" if it does not include within
+the scope of its coverage, prohibits the exercise of, or is
+conditioned on the non-exercise of one or more of the rights that are
+specifically granted under this License.  You may not convey a covered
+work if you are a party to an arrangement with a third party that is
+in the business of distributing software, under which you make payment
+to the third party based on the extent of your activity of conveying
+the work, and under which the third party grants, to any of the
+parties who would receive the covered work from you, a discriminatory
+patent license (a) in connection with copies of the covered work
+conveyed by you (or copies made from those copies), or (b) primarily
+for and in connection with specific products or compilations that
+contain the covered work, unless you entered into that arrangement,
+or that patent license was granted, prior to 28 March 2007.
+
+  Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+  12. No Surrender of Others' Freedom.
+
+  If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
+excuse you from the conditions of this License.  If you cannot convey a
+covered work so as to satisfy simultaneously your obligations under this
+License and any other pertinent obligations, then as a consequence you may
+not convey it at all.  For example, if you agree to terms that obligate you
+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+  13. Use with the GNU Affero General Public License.
+
+  Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU Affero General Public License into a single
+combined work, and to convey the resulting work.  The terms of this
+License will continue to apply to the part which is the covered work,
+but the special requirements of the GNU Affero General Public License,
+section 13, concerning interaction through a network will apply to the
+combination as such.
+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU General Public License from time to time.  Such new versions will
+be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.

data/seasons_descriptions/autumn.md

@@ -0,0 +1,42 @@
+The **Autumn** type is characterized by warm, rich, and earthy tones. Individuals with an **Autumn** palette typically have warm undertones and colors that reflect the hues of the autumn season. Here are the key features and guidelines to identify and describe an **Autumn** type...
+
+#### Key Characteristics:
+1. Skin Tone:
+    + Warm undertones with a golden, peachy, or olive base.
+    + Can range from fair to dark.
+    + Often tans easily and may have freckles.
+
+2. Hair Color:
+    + Warm shades, including golden blonde, auburn, copper, and rich brown with golden or red undertones.
+    + Often has a rich, warm, and vibrant appearance.
+
+3. Eye Color:
+    + Warm-toned, such as amber, warm brown, hazel, and olive green.
+    + Eyes may have a golden or warm flecked appearance.
+
+#### Best Colors:
++ Earthy Tones: Olive green, moss green, and rust.
++ Rich Warm Colors: Burnt orange, terracotta, deep gold, and pumpkin.
++ Warm Neutrals: Cream, camel, beige, and warm taupe.
++ Other Colors: Teal, warm reds, brick red, mustard, and chestnut brown.
+
+#### Colors to Avoid:
++ Cool and bright colors, such as icy blues, cool pinks, and fuchsia.
++ Stark black and white, as they can be too contrasting and harsh.
++ Cool grays and pastels which can wash out the warmth of the skin.
+
+#### Makeup Recommendations:
++ Foundation: Warm-toned foundations with a golden or peach base.
++ Blush: Warm peach, coral, and earthy tones.
++ Eyeshadow: Warm browns, golden hues, olive green, and copper.
++ Lipstick: Warm reds, terracotta, burnt orange, and brick tones.
+
+#### Clothing and Accessories:
++ Opt for fabrics with texture and richness, like wool, suede, and leather.
++ Choose jewelry in gold, bronze, and copper to complement the warm undertones.
+
+#### Overall Aesthetic:
++ The **Autumn** palette embodies a rich, natural, and warm aesthetic.
++ Think of the vibrant and cozy colors of autumn leaves, harvest, and forest hues.
+
+By following these guidelines, individuals with an **Autumn** color type can enhance their natural warmth and achieve a harmonious, vibrant look that reflects the rich tones of the autumn season.

data/seasons_descriptions/spring.md

@@ -0,0 +1,43 @@
+The **Spring** type is characterized by warm, light, and vibrant colors. Individuals with a **Spring** palette typically have bright and warm undertones that reflect the lively and fresh hues of the spring season. Here are the key features and guidelines to identify and describe a **Spring** type...
+
+#### Key Characteristics:
+1. Skin Tone:
+    + Warm undertones with a peachy or golden base.
+    + Can range from fair to medium.
+    + Often has a clear and bright complexion, and may have a tendency to blush easily.
+
+2. Hair Color:
+    + Warm shades, including golden blonde, light auburn, strawberry blonde, and light to medium golden brown.
+    + Often has a vibrant, sunny appearance.
+
+3. Eye Color:
+    + Warm-toned, such as bright blue, aqua, warm green, light hazel, and light warm brown.
+    + Eyes often have a clear and bright look.
+
+### Best Colors:
++ Warm Pastels: Peach, apricot, light coral, and light warm pink.
++ Bright and Clear Colors: Coral, turquoise, warm yellows, and bright greens.
++ Warm Neutrals: Cream, ivory, light camel, and warm beige.
++ Other Colors: Periwinkle, warm navy, salmon, and light sunny yellow.
+
+#### Colors to Avoid:
++ Cool and muted colors, such as cool grays, icy blues, and cool pinks.
++ Dark and heavy colors like deep burgundy, black, and charcoal.
++ Overly earthy tones like olive green and mustard, which can overshadow the brightness.
+
+
+#### Makeup Recommendations:
++ Foundation: Warm-toned foundations with a peach or golden base.
++ Blush: Warm peach, coral, and soft apricot tones.
++ Eyeshadow: Warm browns, peachy shades, light golds, and warm taupes.
++ Lipstick: Warm pinks, corals, peach, and light warm reds.
+
+#### Clothing and Accessories:
++ Opt for light, airy fabrics with a soft and vibrant appearance.
++ Choose jewelry in gold, rose gold, and light, warm-toned gemstones to complement the warm undertones.
+
+#### Overall Aesthetic:
++ The **Spring** palette embodies a fresh, lively, and radiant aesthetic.
++ Think of the bright and cheerful colors of blooming flowers, clear skies, and new growth in spring.
+
+By following these guidelines, individuals with a **Spring** color type can enhance their natural brightness and achieve a harmonious, radiant look that reflects the vivid and lively tones of the spring season.

data/seasons_descriptions/summer.md

@@ -0,0 +1,44 @@
+The **Summer** type is characterized by cool and muted colors. Individuals with a **Summer** palette typically have soft, understated, and cool undertones. Here are some key features and guidelines to identify and describe a **Summer** type...
+
+#### Key Characteristics:
+1. Skin Tone:
+    + Cool undertones with a pink or blue base.
+    + May appear light, fair, or have a soft rosy hue.
+    + Often burns easily and tans minimally.
+
+2. Hair Color:
+    + Usually ranges from ash blonde to medium ash brown.
+    + Lacks golden or red undertones.
+    + Often has a cool, ashy appearance.
+
+3. Eye Color:
+    + Cool-toned, including shades like blue, green, gray, or a muted hazel.
+    + Eyes may have a soft, muted look rather than intense or bright.
+
+#### Best Colors:
++ Pastels: Soft pinks, baby blues, lavender, and mint green.
++ Muted Tones: Dusty rose, soft teal, powder blue, and light periwinkle.
++ Cool Neutrals: Soft white, dove gray, and cool beige.
++ Other Colors: Light to medium shades of cool colors like denim blue, seafoam green, and berry.
+
+#### Colors to Avoid:
++ Warm and vibrant colors, such as bright oranges, fiery reds, and sunny yellows.
++ Earthy tones like mustard, olive, and rust.
++ Strong, stark colors like pure black and stark white can be too harsh.
+
+#### Makeup Recommendations:
++ Foundation: Cool-toned foundations with a pink or neutral base.
++ Blush: Soft pinks, rosy tones, and cool mauves.
++ Eyeshadow: Cool grays, soft pinks, lilac, and cool taupes.
++ Lipstick: Cool pinks, berry tones, and soft plum shades.
+
+#### Clothing and Accessories:
++ Opt for fabrics that drape well and have a soft, flowing quality.
++ Choose jewelry in silver, white gold, or platinum to complement the cool undertones.
+
+#### Overall Aesthetic:
++ The **Summer** palette embodies a soft, elegant, and refined aesthetic.
++ Think of the gentle and serene colors of a summer twilight or a misty morning by the sea.
+
+
+By adhering to these guidelines, individuals with a **Summer** color type can enhance their natural beauty and achieve a harmonious, balanced look.

data/seasons_descriptions/winter.md

@@ -0,0 +1,41 @@
+The **Winter** type is characterized by cool, deep, and vivid colors. Individuals with a **Winter** palette typically have cool undertones and can wear high-contrast, intense colors effectively. Here are the key features and guidelines to identify and describe a **Winter** type...
+
+#### Key Characteristics:
+1. Skin Tone:
+    + Cool undertones with a blue, pink, or rosy base.
+    + Can range from very fair to deep.
+    + Often has a porcelain-like, clear complexion, or a deep, rich skin tone.
+2. Hair Color:
+    + Cool shades, including black, dark brown, cool brown, or ash brown.
+    + May also include cool-toned silver or white hair.
+3. Eye Color:
+    + Cool-toned, such as icy blue, cool green, dark brown, or deep, intense gray.
+    + Eyes often have a striking and clear appearance.
+
+#### Best Colors:
++ Cool and Deep Colors: Navy, black, emerald green, and royal blue.
++ Bright and Icy Colors: Pure white, icy blue, and fuchsia.
++ High-Contrast Colors: Black and white combinations, deep burgundy, and jewel tones like sapphire and amethyst.
++ Other Colors: Cherry red, magenta, and cool, bright pinks.
+
+#### Colors to Avoid:
++ Warm and muted colors, such as warm browns, oranges, and beige.
++ Earthy tones like olive green and mustard, which can clash with the cool undertones.
++ Soft, muted pastels that lack the intensity and contrast needed for Winter types.
+
+#### Makeup Recommendations:
++ Foundation: Cool-toned foundations with a pink or neutral base.
++ Blush: Cool pinks, berry tones, and rosy shades.
++ Eyeshadow: Charcoal, cool taupes, silver, icy blues, and cool purples.
++ Lipstick: Bold reds, cool pinks, and deep berry tones.
+
+
+#### Clothing and Accessories:
++ Opt for fabrics with a sleek and refined appearance, like silk, satin, and wool.
++ Choose jewelry in silver, platinum, and cool-toned gemstones to complement the cool undertones.
+
+#### Overall Aesthetic:
++ The Winter palette embodies a bold, dramatic, and sophisticated aesthetic.
++ Think of the striking and vivid colors of a winter landscape, such as snow-covered scenes, evergreen trees, and clear, crisp skies.
+
+By following these guidelines, individuals with a Winter color type can enhance their natural contrast and achieve a harmonious, bold look that reflects the deep and vivid tones of the winter season.

pyproject.toml

@@ -0,0 +1,41 @@
+[tool.poetry]
+name = "season-color-analysis"
+version = "0.1.0beta"
+description = ""
+authors = ["Giacomo Bubba <giacobub@gmail.com>"]
+license = "GPL-3.0"
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.10"
+streamlit = "^1.37.0"
+plotly = "^5.23.0"
+facenet-pytorch = "^2.6.0"
+timm = "^1.0.7"
+pandas = "^2.2.2"
+pyarrow = "^16.1.0"
+fastparquet = "^2024.5.0"
+torch = {version = "2.2.2", source = "pytorch_cpu"}
+torchvision = {version = "0.17.2", source = "pytorch_cpu"}
+
+
+[tool.poetry.group.dev.dependencies]
+beautifulsoup4 = "^4.12.3"
+requests = "^2.32.3"
+tqdm = "^4.66.4"
+click = "^8.1.7"
+pyfacer = "^0.0.4"
+seaborn = "^0.13.2"
+matplotlib = "^3.9.1"
+notebook = "^7.2.1"
+scikit-learn = "^1.5.1"
+
+
+[[tool.poetry.source]]
+name = "pytorch_cpu"
+url = "https://download.pytorch.org/whl/cpu"
+priority = "explicit"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

seasonal_color_analysis/core/classification.py

@@ -0,0 +1,86 @@
+from PIL import Image
+
+import torch
+import numpy as np
+
+from seasonal_color_analysis.core.face_embedding import FaceEmbedder
+
+
+class CosineClassifier(torch.nn.Module):
+  def __init__(self, n_classes: int):
+    super().__init__()
+    self.n_classes = n_classes
+    self._temperature = torch.nn.Parameter(torch.rand(1))
+    thetas = torch.arange(0, 2 * np.pi, 2 * np.pi / n_classes).view(-1, 1)
+    cos = torch.cos(thetas)
+    sin = torch.sin(thetas)
+    self._points = torch.hstack([cos, sin]).unsqueeze(0)  # (1, landmarks, 2)
+    self._cos = torch.nn.CosineSimilarity(dim=-1, eps=1e-6)
+
+  def forward(self, x: torch.Tensor) -> torch.Tensor:
+    _x = x.unsqueeze(1)  # (batch, 1, 2)
+    cos = self._cos(_x, self._points)  # cosine similarity with broadcasting
+    logits = cos / self._temperature
+    return logits
+
+
+class SeasonEmbedder(torch.nn.Module):
+  def __init__(self):
+    super().__init__()
+    self._delta =  torch.nn.Parameter(torch.rand(1))
+    self._embedder = torch.nn.Sequential(
+        torch.nn.Linear(512, 128),
+        torch.nn.ReLU(),
+        torch.nn.Linear(128, 32),
+        torch.nn.ReLU(),
+        torch.nn.Linear(32, 2)
+        )
+
+  def forward(self, x: torch.Tensor) -> torch.Tensor:
+    w = self._embedder(x)
+    return w * (1 + self._delta / torch.norm(w, dim=-1, keepdim=True))
+
+
+class SeasonClassifier(torch.nn.Module):
+  def __init__(self, n_classes: int = 4):
+    super().__init__()
+    self._season_embedder = SeasonEmbedder()
+    self._classifier = CosineClassifier(n_classes)
+
+  def embedding(self, x: torch.Tensor) -> torch.Tensor:
+    return self._season_embedder(x)
+
+  def logits(self, embedding: torch.Tensor) -> torch.Tensor:
+    return self._classifier(embedding)
+
+  def theta(self, x: torch.Tensor) -> torch.Tensor:
+    coordinates = self.embedding(x)
+    return torch.atan2(coordinates[:, 1], coordinates[:, 0])
+
+  def forward(self, x: torch.Tensor) -> torch.Tensor:
+    return self._classifier(self._season_embedder(x))
+  
+
+class ImageSeasonClassifier:
+  seasons = ["winter", "summer", "spring", "autumn"]
+
+  def __init__(self, face_embedder: FaceEmbedder, season_classifier: SeasonClassifier):
+    self._face_embedder = face_embedder
+    self._season_classifier = season_classifier
+
+  def predict(self, imgs: list[Image]) -> tuple[list[np.ndarray], list[dict[str, float]], np.ndarray, np.ndarray]:
+    with torch.no_grad():
+      batch_boxes, facenet_embeddings = self._face_embedder.compute(imgs)
+      season_embeddings = self._season_classifier.embedding(facenet_embeddings)
+      proba = self._season_classifier.logits(season_embeddings).softmax(dim=1)
+      np_season_embeddings = season_embeddings.detach().numpy() 
+      np_proba = proba.detach().numpy()
+      proba_dicts = [{s: p for s, p in zip(self.seasons, probs)} for probs in np_proba]
+      return batch_boxes, proba_dicts, np_season_embeddings, facenet_embeddings.detach().numpy()
+
+  @classmethod
+  def load(cls, season_classifier_path: str, embedder_type: str):
+    face_embedder = FaceEmbedder(embedder=embedder_type)
+    season_classifier = SeasonClassifier()
+    season_classifier.load_state_dict(torch.load(season_classifier_path))
+    return cls(face_embedder, season_classifier)

seasonal_color_analysis/core/face_embedding.py

@@ -0,0 +1,57 @@
+from PIL import Image
+
+import torch
+import numpy as np
+from facenet_pytorch import MTCNN, InceptionResnetV1, extract_face, fixed_image_standardization
+
+
+def select_largest_box(boxes: np.ndarray | None) -> np.ndarray | None:
+    if boxes is not None:
+        areas = (boxes[:, 2] - boxes[:, 0]) * (boxes[:, 3] - boxes[:, 1])
+        box_order = np.argsort(areas)[::-1]
+        return boxes[box_order][0]
+    
+
+def extract_crop(img: Image, box: np.ndarray) -> torch.Tensor | None:
+    if box is not None:
+        face = extract_face(img, box)
+        crop = fixed_image_standardization(face)
+        return crop
+
+class FaceEmbedder:
+    n = 512  # embedding dimension
+
+    def __init__(self, embedder: str, device: str = "cpu"):
+        self._mtcnn = MTCNN(device=device)
+        self._device = device
+        self._resnet = InceptionResnetV1(pretrained=embedder).to(device).eval()
+    
+    def compute(self, images: list[Image]) -> tuple[list[np.ndarray], torch.Tensor]:
+        # Detect faces
+        batch_boxes, *_ = self._mtcnn.detect(images)
+        # Select faces
+        batch_boxes = [select_largest_box(boxes) for boxes in batch_boxes]  # one box per image
+        # Extract faces
+        crops = [extract_crop(img, box) if box is not None else None for img, box in zip(images, batch_boxes)]  # one crop per image
+        
+        # filtering images with no detected faces
+        crops_dict = {i: crop for i, crop in enumerate(crops) if crop is not None}
+        if crops_dict:
+            # stacking crops
+            pt_crops = torch.stack(list(crops_dict.values())).to(self._device)
+
+            # computing embeddings
+            pt_embeddings = self._resnet(pt_crops)
+            # indexing embeddings
+            embdeddings = {idx: pt_embeddings[i, ...] for i, idx in enumerate(crops_dict.keys())}
+            # inserting tensor of nan for the images with no detected faces
+            embdeddings_all = [embdeddings[i] if i in embdeddings else torch.ones((self.n)) * torch.nan for i, _ in enumerate(images)]
+            pt_embeddings_all = torch.stack(embdeddings_all)
+        else:
+            pt_embeddings_all = torch.ones((len(images), self.n)) * torch.nan
+        return batch_boxes, pt_embeddings_all
+
+    def __call__(self, images: list[Image]) -> torch.Tensor:
+        _, pt_embeddings_all = self.compute(images)
+        return pt_embeddings_all
+    

seasonal_color_analysis/fe.py

@@ -0,0 +1,244 @@
+import os
+from io import BytesIO
+from PIL import Image, ImageDraw
+import uuid
+import json
+import datetime
+
+import streamlit as st
+import numpy as np
+import plotly.express as px
+import pandas as pd
+from huggingface_hub import CommitScheduler
+
+from seasonal_color_analysis.core.classification import ImageSeasonClassifier
+
+if 'session_uuid' not in st.session_state:
+    st.session_state["session_uuid"] = str(uuid.uuid4())
+
+
+# config
+FACE_EMBEDDER = "vggface2"
+CLASSIFIER_PATH = os.path.join("data", "classifier_weights_v1.pt")
+CLASSIFIER_VERSION = CLASSIFIER_PATH.split("_")[-1].replace(".pt", "")
+SEASON_EMBEDDINGS_PATH = os.path.join("data", "lfw_season_embeddings_train.parquet")
+SEASON_DESCRIPTION_PATH = os.path.join("data", "seasons_descriptions")
+FOREGROUND_IMAGE_PATH = os.path.join("data", "embedding_projector_label_spreading/embeddings.png")
+FEEDBACK_DIRECTORY = os.path.join("data", "feedback")  # local path where to dump feedback
+FEEDBACK_HF_DATASET = os.environ["FEEDBACK_HF_DATASET"]  # HuggingFace dataset id where to upload feedback 
+FEEDBACK_HF_DIRECTORY = os.environ["FEEDBACK_HF_DIRECTORY"]  # Directory in the HuggingFace dataset where to upload feedback
+FEEDBACK_UPLOAD_PERIOD = os.getenv("FEEDBACK_UPLOAD_PERIOD", 1)  # period between uploads to HuggingFace in minutes
+SEASONS_DISPLAY_NAMES = {
+    "winter": ":blue[***Winter***]❄️",
+    "autumn": ":orange[***Autumn***]🍂",
+    "spring": ":green[***Spring***]🌺",
+    "summer": ":red[***Summer***]☀️"
+}
+
+if "classifier" not in st.session_state:
+    st.session_state["classifier"] = ImageSeasonClassifier.load(CLASSIFIER_PATH, FACE_EMBEDDER)
+# Schedule regular uploads. Remote repo and local folder are created if they don't already exist.
+if "scheduler" not in st.session_state:
+    st.session_state["scheduler"] = CommitScheduler(
+        repo_id=FEEDBACK_HF_DATASET,
+        repo_type="dataset",
+        folder_path=FEEDBACK_DIRECTORY,
+        path_in_repo=FEEDBACK_HF_DIRECTORY,
+        every=int(FEEDBACK_UPLOAD_PERIOD),
+    )
+
+
+@st.cache_data
+def get_season_description(season: str) -> tuple[str, str]:
+    p = os.path.join(SEASON_DESCRIPTION_PATH, season + ".md")
+    with open(p) as fid:
+        s = fid.read()
+    summary, detail = s.split("\n\n", 1)
+    return summary, detail
+
+
+@st.cache_data
+def predict(img_bytes: bytes) -> tuple[np.ndarray | None, dict[str, float], np.ndarray, np.ndarray]:
+    with Image.open(BytesIO(img_bytes)) as img:
+        batch_boxes, proba_dicts, np_season_embeddings, np_facenet_embeddings = st.session_state["classifier"].predict([img.convert("RGB")])
+        return batch_boxes[0], proba_dicts[0], np_season_embeddings[0], np_facenet_embeddings[0]
+
+
+@st.cache_data
+def draw_bbox(img_bytes: bytes, bbox: np.ndarray) -> Image:
+    with Image.open(BytesIO(img_bytes)) as img:
+        _img = img.copy()
+        draw = ImageDraw.Draw(_img)
+        draw.rectangle(bbox.tolist(), outline="green", width=img.size[0] // 100)
+        return _img
+
+
+@st.cache_data
+def draw_barplot(probs: dict):
+    fig = px.bar(
+        pd.DataFrame(
+            {
+                "season": list(probs.keys()), 
+                "probability": [100 * p for p in probs.values()]
+            }
+        ), 
+        x='season', 
+        y='probability'
+    )
+    return fig
+
+
+@st.cache_data
+def draw_embedding(np_season_embedding: np.ndarray):
+    df = pd.read_parquet(SEASON_EMBEDDINGS_PATH)[
+        ["name", "macroseason", "x", "y"]
+    ].rename(columns={"macroseason": "season"})
+    df["size"] = 1e-2
+    df.loc[len(df), :] = ["You", most_likely_season, np_season_embedding[0], np_season_embedding[1], 1e-1]
+    fig = px.scatter(
+        df, 
+        x="x", 
+        y="y", 
+        color="season", 
+        size="size",
+        hover_name='name',
+        hover_data={"size": False},
+        color_discrete_sequence=px.colors.qualitative.Light24
+    )
+    fig.add_annotation(
+        x=np_season_embedding[0],
+        y=np_season_embedding[1],
+        text="You",
+        showarrow=True,
+        xanchor="right",
+        font=dict(size=50)
+    )
+    fig.update_layout(xaxis_visible=False, yaxis_visible=False)
+    return fig
+
+
+def dump_feedback(
+    np_facenet_embedding: np.ndarray, 
+    most_likely_season: str, 
+    second_most_likely_season: str, 
+    feedback: str):
+    d = {
+            "session_uuid": st.session_state["session_uuid"],
+            "facenet_embedding": np_facenet_embedding.tolist(),
+            "most_likely_season": most_likely_season,
+            "second_most_likely_season": second_most_likely_season,
+            "feedback": feedback,
+            "classifier_version": CLASSIFIER_VERSION,
+            "timestamp": datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%S.%f")
+    }
+    feedback_path = os.path.join(FEEDBACK_DIRECTORY, f"{uuid.uuid4()}.json")
+    with open(feedback_path, "w") as fid:
+        json.dump(d, fid)
+        
+
+
+# App title
+st.set_page_config(
+    page_title="MangoApp",
+    page_icon="🥭"
+)
+
+with st.sidebar:
+    st.title(":orange[Mango]App 0.1.0β")
+    #st.image(SIDEBAR_IMAGE)
+    st.caption(
+        """
+        Ever wondered which colors suit you the best? 
+        
+        In its simplest form, seasonal color analysis associates different color palettes to the four seasons of the year, 
+        claiming everyone can be assigned to one of them, and so to specific colors.
+
+        A detailed and professional analysis generally requires a skilled specialist, 
+        but if you are down to have just some fun and get some hints on your season, 
+        try **MangoApp**: the AI-powered tool for seasonal color analysis!
+        """
+    )
+
+    # Useful links
+    st.markdown('[![Repo](https://badgen.net/badge/icon/GitHub?icon=github&label)](https://github.com/lajota13/seasonal-color-analysis)')
+
+st.title("Seasonal color analysis with :orange[Mango]App")
+st.image(FOREGROUND_IMAGE_PATH)
+
+img_stream = st.file_uploader(
+    "Upload a selfie", 
+    type=["png", "jpg"], 
+    help="""
+    The photo you upload should portray just your face on the foreground with natural lighting for best accuracy. 
+    
+    Disclaimer: in order to ensure everyone's privacy, MangoApp will never store permanently your photo on its servers.
+    """
+)
+
+if img_stream is not None:
+    img_bytes = img_stream.getvalue()
+    bbox, proba_dict, np_season_embedding, np_facenet_embedding = predict(img_bytes)
+    if bbox is None:
+        col1, col2 = st.columns(2)
+        with col1:
+            st.image(img_bytes, caption="Your image")
+        with col2:
+            st.write("⚠️\n\nIt was not possibile to detect any face in your image, try uploading another one\n\n⚠️")
+    else:
+        seasons = list(proba_dict.keys())
+        probs = list(proba_dict.values())
+        most_likely_season = seasons[np.argsort(probs)[-1]]
+        most_likely_prob = np.sort(probs)[-1]
+        second_most_likely_season = seasons[np.argsort(probs)[-2]]
+        second_most_likely_prob = np.sort(probs)[-2]
+        col1, col2 = st.columns(2)
+        with col1:
+            st.image(img_bytes, caption="Your image")
+        with col2:
+            img_w_bbox = draw_bbox(img_bytes, bbox)
+            st.image(np.array(img_w_bbox), caption="Detected face")
+        
+        st.header("Your result")
+
+        st.caption("Season probability")
+        fig1 = draw_barplot(proba_dict)
+        st.plotly_chart(fig1, use_container_width=True)
+        st.caption("Where you are in the seasonal-color space")
+        fig2 = draw_embedding(np_season_embedding)
+        st.plotly_chart(fig2, use_container_width=True)
+        
+        st.header("Analysis")
+        # describe the most likely season
+        most_likely_summary, most_likely_detail = get_season_description(most_likely_season)
+        with st.expander(
+            f"You are most likely a {SEASONS_DISPLAY_NAMES[most_likely_season]}, " 
+            f"with a probability of {int(100 * most_likely_prob)} %!"
+            f"\n\n{most_likely_summary}"
+        ):
+            st.markdown(most_likely_detail)
+        
+        # describe the second most likely season
+        if most_likely_prob < 0.9:
+            second_most_likely_summary, second_most_likely_detail = get_season_description(second_most_likely_season)
+            with st.expander(
+                f"However you could be a {SEASONS_DISPLAY_NAMES[second_most_likely_season]} too, " 
+                f"with a probability of {int(100 * second_most_likely_prob)} %."
+                f"\n\n{second_most_likely_summary}"
+            ):
+                st.markdown(second_most_likely_detail)
+        
+        st.header("Your feedback")
+        choices = [SEASONS_DISPLAY_NAMES[most_likely_season], SEASONS_DISPLAY_NAMES[second_most_likely_season]]
+        feedback = st.radio(
+            "**MangoApp** is still in a initial stage. "
+            "Your feedback is anonymous but is crucial to improve color analysis accuracy! "
+            f"Do you resonate more with the description of the **{most_likely_season.capitalize()}** type or **{second_most_likely_season.capitalize()}**?",
+            choices,
+        )
+        if st.button("Send feedback"):
+            if feedback is not None:
+                _feedback = [most_likely_season, second_most_likely_season][choices.index(feedback)]
+                dump_feedback(np_facenet_embedding, most_likely_season, second_most_likely_season, _feedback)
+                st.write("Thank you for your feedback ❤️ You are contributing to the development of **:orange[Mango]App**🥭!")
+            else:
+                st.write("Please select one of the two options.")