From 5f820b0f411e55a2be0f7fc48d831aeb28e6bab0 Mon Sep 17 00:00:00 2001 From: Rhys Williams Date: Fri, 21 Jun 2024 02:14:32 -0400 Subject: [PATCH 1/6] added gradio app framework and documentation --- README.md | 5 ++++- app.py | 41 +++++++++++++++++++++++++++++++++++++ clip/data/interstellar.jpg | Bin 0 -> 60143 bytes images/gradio.png | Bin 0 -> 985026 bytes requirements.txt | 1 + 5 files changed, 46 insertions(+), 1 deletion(-) create mode 100644 app.py create mode 100644 clip/data/interstellar.jpg create mode 100644 images/gradio.png diff --git a/README.md b/README.md index 297af53..ab5faf6 100644 --- a/README.md +++ b/README.md @@ -192,7 +192,10 @@ Last of all the aim here is to keep up with the latest optimised foundation mode ## Latest Updates -- Pending +- Added a Gradio example app. the results are pretty impressive! - simply run `python3 app.py` from your root and head to `http://127.0.0.1:7860/` + + + ![alt text](images/gradio.png) ## Future updates diff --git a/app.py b/app.py new file mode 100644 index 0000000..478be39 --- /dev/null +++ b/app.py @@ -0,0 +1,41 @@ +import gradio as gr +from PIL import Image +from clip.model import OnnxClip, softmax, get_similarity_scores + +example = ["a photo of space", + "a photo of a man", + "a photo of a man in dungarees", + "a photo of a sad man in dungarees", + "a photo of a sad man in dungarees with short hair and orange container to the right", + "a photo of a sad man in dungarees with short hair", + "a photo of a happy man in dungarees", + "A photo of Christopher Nolan"] + + +def classify(image, text): + images = [image] + + + texts = {"classification": text.split(',') + } + + #type='clip' is also avvaiilable with this usage + onnx_model = OnnxClip(batch_size=16, type='siglip_full') + probs, _ = onnx_model.inference(images, texts) + + return {label: float(prob) for label, prob in zip(texts['classification'], probs['classification'])} + + +demo = gr.Interface( + classify, + [ + gr.Image(label="Image", type="pil"), + gr.Textbox(label="Labels", info="Comma-separated list of class labels"), + ], + gr.Label(label="Result"), + examples=[['clip/data/interstellar.jpg', ','.join(example)]], +) +try: + demo.launch(debug=True, height=1000) +except Exception: + demo.launch(share=True, debug=True, height=1000) diff --git a/clip/data/interstellar.jpg b/clip/data/interstellar.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c77b9242029d073d76a458dc7a3aaa6f31b958c4 GIT binary patch literal 60143 zcmbT7Wl$VZ*XIWYcL)Rp2@q^>8{FN3Lm;?2!yo~I6Ck(~ zlDs^-Tklrwr`^3>-Cz24*ZuYBs&mi(obzw_-zI=aSzbvVfP#Vouy{TI|Na6*Wwhm_ zbTza^=3w<}&?{@oDbV{0^RRK!d-zzoIC=-rL+FJC zasGV=$N9v0^FAjHMR#v>*qAt5FtCVue}ME-)5ij0_;;uQrI z4GkR~-3xLCCI(t25G@_;e_n#}{3s>{CIJ=}0WB#pDeeFB_}2>{#zJWW;sH?@0I0+$ zKw^}Cg8(`J00sRS^*^-#YoMS4(Vka{g^h#zJfVdMfQkYHqCT(x8Q^(#(DQu&8ZkP_ zD_$v#7h0B>3?8I>p-F{UjM9yLWZHA*O#D`!Vc0k?$tftQm|wH7vat&Y3cVEui^#~z z$tx%-DeLI!=^Gdt8C%=f+SxleI(d2f`1<(=K*K*pL`Hp%j!8~QO-s+n%z_scmz0*3 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flagged/log.csv | 2 ++ 5 files changed, 5 insertions(+), 2 deletions(-) create mode 100644 flagged/Image/tmpe3vqm6fy.jpg create mode 100644 flagged/Result/tmp0w1vfn0g.json create mode 100644 flagged/log.csv diff --git a/README.md b/README.md index ab5faf6..fb85044 100644 --- a/README.md +++ b/README.md @@ -192,7 +192,7 @@ Last of all the aim here is to keep up with the latest optimised foundation mode ## Latest Updates -- Added a Gradio example app. the results are pretty impressive! - simply run `python3 app.py` from your root and head to `http://127.0.0.1:7860/` +- Added a Gradio example app. Ignore the percentages for now. The results of simgoid outputs don't sum to 1 in conncert. The results however are pretty impressive! - simply run `python3 app.py` from your root and head to `http://127.0.0.1:7860/` ![alt text](images/gradio.png) diff --git a/app.py b/app.py index 478be39..7cc3ff7 100644 --- a/app.py +++ b/app.py @@ -23,7 +23,7 @@ def classify(image, text): onnx_model = OnnxClip(batch_size=16, type='siglip_full') probs, _ = onnx_model.inference(images, texts) - return {label: float(prob) for label, prob in zip(texts['classification'], probs['classification'])} + return {label: "" for label, prob in zip(texts['classification'], probs['classification'])} demo = gr.Interface( diff --git a/flagged/Image/tmpe3vqm6fy.jpg b/flagged/Image/tmpe3vqm6fy.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c77b9242029d073d76a458dc7a3aaa6f31b958c4 GIT binary patch literal 60143 zcmbT7Wl$VZ*XIWYcL)Rp2@q^>8{FN3Lm;?2!yo~I6Ck(~ zlDs^-Tklrwr`^3>-Cz24*ZuYBs&mi(obzw_-zI=aSzbvVfP#Vouy{TI|Na6*Wwhm_ zbTza^=3w<}&?{@oDbV{0^RRK!d-zzoIC=-rL+FJC 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text): onnx_model = OnnxClip(batch_size=16, type='siglip_full') probs, _ = onnx_model.inference(images, texts) - return {label: "" for label, prob in zip(texts['classification'], probs['classification'])} + return {label: prob for label, prob in zip(texts['classification'], probs['classification'])} demo = gr.Interface( From b8868a357eca5b6b464028706adfd11ae7ed0c2a Mon Sep 17 00:00:00 2001 From: Rhys Williams Date: Fri, 21 Jun 2024 03:01:11 -0400 Subject: [PATCH 6/6] correction --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fb85044..f048527 100644 --- a/README.md +++ b/README.md @@ -192,7 +192,7 @@ Last of all the aim here is to keep up with the latest optimised foundation mode ## Latest Updates -- Added a Gradio example app. Ignore the percentages for now. The results of simgoid outputs don't sum to 1 in conncert. The results however are pretty impressive! - simply run `python3 app.py` from your root and head to `http://127.0.0.1:7860/` +- Added a Gradio example app. Ignore the percentages for now - the results of simgoid outputs don't sum to 1 in concert. The results however are pretty impressive! - simply run `python3 app.py` from your root and head to `http://127.0.0.1:7860/` ![alt text](images/gradio.png)