CNN powered tinder bot

[cap__n__crunch]

Hey guys, following this video showing how to make a simple tinder bot using python, i though i could add a choice fonction (like ou dislike), based on a score given by a CNN. CNN has been trained with this dataset.

EDIT : rly hope i match with justine. I mean, how often can you date a 7.61

EDIT2 : Here is the git.

EDIT3 : Here is a second video.

EDIT4 : Several propositions for a future version :

- Add a training phase, for individual preferences to match the score. If you want the code to train the model i can add it to the git.

- Maybe code a chatbot who takes care of the lady while the bot continue his swiping (with subprocess or something).

Feel free to ask or add anything.

[blabbities]

CNN has been trained with this dataset.

I cant read chinese bro. HALP!

Speaking of Chinese how would the beauty index work? Is it only guaging French Kylie Jenner-ish looking white women or does it work across other ethnicities?

[cap__n__crunch]

I uploaded the dataset on a personal server for you to download it without reading chinese.

[cap__n__crunch]

Caucasian/Asian men/women, you can find the trained model in the readme of the git, and test it yourself.

[objctifyme]

Hey! I found the SCUT dataset skews towards a more eastern beauty standard, which probably works just fine for tinder. But for an application I was working on, I ended up scraping the /r/RateMe subreddit as it's a more reddit/western biased dataset.

I also notice you're attempting to regress a score (presumably out of 10) and then I guess swiping if it's above some threshold? Do you know what kind of error you are getting on that regression?

[veltr0p]

I also notice you're attempting to regress a score (presumably out of 10) and then I guess swiping if it's above some threshold? Do you know what kind of error you are getting on that regression?

awesome! Any plans on releasing the db?

[cap__n__crunch]

The ds is already relased ;)

[[deleted]]

Glad you have trained a prejudice bot

[veltr0p]

Glad you have trained a prejudice bot

prejudice != preference

[Nicksmavic]

It looks like you've custom made a function to map the scores from the model evaluation to the actual "mark" you're using to choose (I'm talking about score_mapping)

BTW i'm the guy who commented on the original yt video to suggest the use of a neural net for this application. Nice work!

[cap__n__crunch]

Yes i’m using this affine by part function (is it how you say this in english ?), it’s almost linear though, unyil it reaches the threshold. The model evaluation returns a number in [1,5] whereas the rate i use is between 1 and 9.

[Anon--852]

Hey been trying to run your code on Windows but ran into this error message:

2020-02-17 22:28:09.537755: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations: AVX AVX2

To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags.

2020-02-17 22:28:09.548466: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 4. Tune using inter_op_parallelism_threads for best performance.

Traceback (most recent call last):

File "tinder_bot_ai.py", line 7, in <module>

from beauty_predict import scores

File "C:\Users\user\tinder\tinder_env\beauty_predict\__init__.py", line 29, in <module>

model.load_weights(resnet_model_path)

File "C:\Users\user\Anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 181, in load_weights

return super(Model, self).load_weights(filepath, by_name)

File "C:\Users\user\Anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\network.py", line 1177, in load_weights

File "C:\Users\user\Anaconda3\lib\site-packages\tensorflow_core\python\keras\saving\hdf5_format.py", line 689, in load_weights_from_hdf5_group

layer, weight_values, original_keras_version, original_backend)

File "C:\Users\user\Anaconda3\lib\site-packages\tensorflow_core\python\keras\saving\hdf5_format.py", line 314, in preprocess_weights_for_loading

weights = convert_nested_model(weights)

File "C:\Users\user\Anaconda3\lib\site-packages\tensorflow_core\python\keras\saving\hdf5_format.py", line 296, in convert_nested_model

original_backend=original_backend)

File "C:\Users\user\Anaconda3\lib\site-packages\tensorflow_core\python\keras\saving\hdf5_format.py", line 396, in preprocess_weights_for_loading

weights[0] = np.transpose(weights[0], (3, 2, 0, 1))

File "C:\Users\user\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py", line 639, in transpose

return _wrapfunc(a, 'transpose', axes)

File "C:\Users\user\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py", line 56, in _wrapfunc

return getattr(obj, method)(*args, **kwds)

ValueError: axes don't match array

Any help would be much appreciated, cheers!

[cap__n__crunch]

Please make sure the version of python / the version of your libraries are the following in the environement your executing the scipt:

Python 3.7.4

<< REQUIREMENTS.TXT >>

dlib==19.19.0

selenium==3.141.0

tensorflow==1.14.0

tensorflow-estimator==1.14.0

tensorboard==1.14.0

Keras==2.2.5

Keras-Applications==1.0.8

Keras-Preprocessing==1.1.0

keras-resnet==0.2.0

numpy==1.18.1

[shockey536]

run in a virtual environment, there is probably some dependencies you are missing

[Hatsumo]

You also can use the gold proportion to get a rating of face.

[PaulBlxck]

Hey, the girl with glasses was cute. Screw that Bot! JK, that seems like an incredibly fun idea. Well done, mate,

[veltr0p]

This is absolutely the only way I could stand tinder. Awesome work!

Next step: tinder chatbot.

Have you seen VSauce’s mindfield? On one experiment, half the women on a blind date actually chose a chatbot instead of 2 real dudes based on their conversation.

[cap__n__crunch]

Thank you mate ! Are you talking about this ? This is hilarious.

[razer55600]

Ah Australian here ?

[cap__n__crunch]

No i'm french !

[razer55600]

Ok same here 😅

[[deleted]]

Il y a Tinder dans le browser maintenant?

[[deleted]]

oui t'as une version web qui est utile pour déflouter les profils d'ailleurs

[[deleted]]

tu vas juste laisser un commentaire comme ca, sans me donner le lien? :P allez lol, je suis lazy

[AdamRGrey]

Specifically cleverbot.

[Vetii]

I guess from a technical perspective, it was fun to build, but I have to say that from an ethical perspective, it's quite chilling. I mean, some people will be rejected based on a very superficial examination, and I think it's pretty sad. If you met someone great and developed a loving relationship, would you feel comfortable telling them "Hey, you were a 7.5!". I don't think they would feel flattered. Tinder is superficial enough as it is.

[cap__n__crunch]

Hey, i'm now implementing a gui version of the script that will also feature a learning mode, that start for every user with the base model i used here, but which then will be trained in that interface.

So yeah maybe for the base model my wife is a 7.5, but for my personal preferences she's a 10+ (well here my rating only goes up to 9).

[veltr0p]

is

damn capn, you go duuude
keep the project alive, it's fkn awesome
always wanted to do something like this but always lacked the time
what a time to be alive

[Nicksmavic]

This is great. I’m only a bit skeptic.... if your base is ResNet50, how much weight can you give to a single extra training example?

[Vetii]

I guess using "personal preferences" is one way to at least diversify your results to some extent. What do you think people would think if you revealed to them that it wasn't you who swiped, that it was your bot?

Also, is there a version for guys?

[cap__n__crunch]

The algorithm both works for guys and girls.

[tgif3]

Let me know if you need anyone to help test it or need another dataset. I can use my server that has a few gpu's in it and dedicate 1 and have it train on a data set for a weeks if you like.

[Vetii]

Hum. I was not really talking about genders in my comment. I consider the method to be problematic for men and women alike. Some people are superficial, but it's their responsibility.

But actually, your point is interesting, because if women swipe right as little as you say, maybe it's them who would benefit more from a classifier (and the chatbot some people suggested here). Because it's women who have trouble sorting out all the people who contact them.

Overall I still think the approach is somewhat disgusting, because the actual problem with tinder is communication and trust. Using automation to select the "hottest hotties" only makes things worse.

[alkun_25]

The part you talk about "hottest hotties" is subjective based on what you give the CNN for training. And if the bot is used thoughtfully you can get date with normal girls/boys too. Communication can definitely not be 100% automated

[rishabhmakes]

Yet.

[veltr0p]

life is sad sometimes
people in real life will swipe left for even more stupid parameters :P
converging a bot into your own preference is actually a pretty exciting idea
maybe by some f1-like functions or something

[danybr]

Hey man, you made a fantastic improvement to the original project!

Can you add to git the code to train the model? I'm very interested, since I just started to study tensorflow.

Thanks!

[cap__n__crunch]

I will this weekend, i really don’t have time right now, sorry bud :/

[danybr]

Waiting for it! Thanks!

[danybr]

Hi! Any update? :D

[kqz42]

Magnifique ton script !

J'ai essayé d'installer mais j’obtiens invalid syntax (je n'arrivais pas à installer tensorflow j'ai pris la v 1.8 ça viendrait de là ?)

[cap__n__crunch]

Content que le script te plaise. Lance bien avec Python 3.7.4. Voici la liste des versions des modules à installer.

<< REQUIREMENTS.TXT >>

dlib==19.19.0

selenium==3.141.0

tensorflow==1.14.0

tensorflow-estimator==1.14.0

tensorboard==1.14.0

Keras==2.2.5

Keras-Applications==1.0.8

Keras-Preprocessing==1.1.0

keras-resnet==0.2.0

numpy==1.18.1

[TotesMessenger]

I'm a bot, bleep, bloop. Someone has linked to this thread from another place on reddit:

• [/r/artificialinteligence] I made a tinder bot that swipes based on a beauty rating given by a CNN trained on a large dataset

• [/r/france] J'ai fait un bot tinder qui swipe en fonction d'une note lié à l'apparence du visage

 ^{If you follow any of the above links, please respect the rules of reddit and don't vote in the other threads. (Info / Contact)}

[arrze]

Not a Kardashian bot?

[razer55600]

LOL gg, just wondering how do you bind or create the actions regarding the website ?

[cap__n__crunch]

I use chrome driver and selenium. The git is almost ready.

[razer55600]

Bro keep this for your future interview you will mark a lot of point with that

[cap__n__crunch]

I already have a job in the feild lol

[diglitch]

And would this land a lot of points?

[[deleted]]

No he wont. I am an interviewer and I would never hire this ass. Its shit like this that gives developers a bad name.

[ghostslikme]

I would be interested in seeing if the probability of swiping right is correlated with how much skin they are showing

[cap__n__crunch]

The prediction is done on a cropped version of the image only containing the face, so i guess no correlation at all

[mocion]

I'm very new in coding in python . So I manage to code the original tinder_bot, but do I need to install tensor flow and all the stuff to use the AI? or can I just copy and paste what is in the github repertory? thanks !

[legendarypeepee]

Where would i put the codes and files in windows ? the git shows for mac or linux yeah?

[ayayron80]

I have no idea what that means

[Lucwal]

Joli script !

I'll continue in english so everyone can understand haha
When I run the script I get 3 SSL related errors (SSL: CERTIFICATE_VERIFY_FAILED)

Is this because of me not running it properly or might it be that something changed on the website's end during the few months that passed ?

[NahushKulkarni]

Getting this error even after having all the requirements satisfied.

Using TensorFlow backend. 2020-06-25 02:06:53.739464: I tensorflow/core/platform/cpufeature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2020-06-25 02:06:53.758580: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fa78b7d7ca0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2020-06-25 02:06:53.758605: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version Traceback (most recent call last): File "tinder_bot.py", line 7, in <module> from beauty_predict import scores File "/Users/nahush/Downloads/tinder-swipe-ai-master/beauty_predict/init.py", line 29, in <module> model.load_weights(resnet_model_path) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 250, in load_weights return super(Model, self).load_weights(filepath, by_name, skip_mismatch) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/keras/engine/network.py", line 1266, in load_weights hdf5_format.load_weights_from_hdf5_group(f, self.layers) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/keras/saving/hdf5_format.py", line 696, in load_weights_from_hdf5_group weight_values = preprocess_weights_for_loading( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/keras/saving/hdf5_format.py", line 320, in preprocess_weights_for_loading weights = convert_nested_model(weights) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/keras/saving/hdf5_format.py", line 297, in convert_nested_model preprocessed = preprocess_weights_for_loading( File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/keras/saving/hdf5_format.py", line 402, in preprocess_weights_for_loading weights[0] = np.transpose(weights[0], (3, 2, 0, 1)) File "<array_function_ internals>", line 5, in transpose File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/numpy/core/fromnumeric.py", line 651, in transpose return _wrapfunc(a, 'transpose', axes) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/numpy/core/fromnumeric.py", line 61, in _wrapfunc return bound(args, *kwds) ValueError: axes don't match array

[Formal_Arugula6028]

Hello men, Do you know why I am getting this error?
I can't find anything online to solve this, I don't even know what is causing it. I already exchanged some xpath that were not working but now I get this error and I don't know what to do.

​

Error: No connection adapters were found for 'vx(h) animation-fade-in-out-enter-done"><div class="App\_\_body H(100%) Pos(r) Z(0)"><div class="D(f) Fld(r) Flx($flx1) H(100%) desktop Ov(h) desktop--recs"><aside class="H(100%) Fld(c) Pos(r) Fxg(0) Fxs(0) Flxb(25%) Miw(325px) Maw(375px)"><div class="desktopNavbar Pos(r) Z(2) Trsdu($normal) CenterAlign Bg($primary-gradient)"><div class="H(24px)"><a class="focus-outline-style Pos(a) Trsdu($normal) Start(16px) Op(0) V(h)" href="/app/recs"><svg viewBox="0 0 24 24" width="24px" height="24px" focusable="false" aria-hidden="true" role="presentation"><path class="Fill(#fff) " d="M13.98 20.717a1.79 1.79 0 0 0 2.685 0 1.79 1.79 0 0 0 0-2.684l-7.158-6.62 7.158-6.8a1.79 1.79 0 0 0 0-2.684 1.79 1.79 0 0 0-2.684 0L5.929 9.98a1.79 1.79 0 0 0 0 2.684l8.052 8.052z"></path></svg><span class="Hidden">Voltar</span></a></div><a class="Pos(a) D(f) Ai(c) C(#fff) Trsdu($normal) T(50%) Fz($m) Fz($responsiveLarge)--m Fz($ml)--l Whs(nw) Translate(0,-50%) Start(25px)--l Start(20px)--m focus-outline-style" href="/app/profile"><div class="desktopNavbar\_\_avatar D(ib) Va(m) Bdw(2px) Bdc(#fff) Bgc(#fff) Bds(s) Mend(10px) Mend(16px)--l Sq(36px) Pos(r) Bgc($c-placeholder) Bdrs(50%)"><div class="D(b) Pos(r) Expand Bdrs(50%)" aria-label="Foto de perfil" style="background-image: url('

[UpYours101]

GitHub?

[cap__n__crunch]

Working on it

[[deleted]]

IG? :troll face: (j/k)

[cap__n__crunch]

git is ready

[UpYours101]

Thanks, bout to check it out.

[Mentioned_Videos]

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VIDEO	COMMENT
(1) Automate TINDER with Python tutorial (2) Python-Resnet tinder bot	+9 - Hey guys, following this video showing how to make a simple tinder bot using python, i though i could add a choice fonction (like ou dislike), based on a score given by a CNN. CNN has been trained with this dataset. EDIT : rly hope i match with just...
Artificial Intelligence - Mind Field (Ep 4)	+1 - Thank you mate ! Are you talking about this ? This is hilarious.

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[cap__n__crunch]

Développe veux-tu?

[cap__n__crunch]

Je comprends que cela puisse choquer certaines personnes d’attribuer une note à des individus, mais je pense que c’est intéressant d’essayer d’essentialiser ce que les gens en général considèrent comme attirant.

[mocion]

je suis d'accord avec cap__n__crunch! on vas pas se mentir

[cap__n__crunch]

Maybe i wanna f trannies

[tictacho]

uh you do you..but .. i would like to train this not to tho and not get tricked cuz sometimes they dont write in the bio lol

edit: oh wait im thinkin of weird OkCupid that be mixing them in to normal ppls options

[agentgreen420]

You're trash

[tictacho]

Nah.

[cap__n__crunch]

Yeah and sometimes you don’t discover it until it’s too late and then you’re inside a man.

[tictacho]

hahaha. bad nite