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.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Ichigo.jpg filter=lfs diff=lfs merge=lfs -text
+Urahara.jpg filter=lfs diff=lfs merge=lfs -text
+Zaraki.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,13 +1,37 @@
 ---
-title: Pilar Identify
-emoji: 🏃
+title: Warrior
+emoji: 🔥
 colorFrom: red
-colorTo: blue
+colorTo: red
 sdk: gradio
-sdk_version: 3.47.1
 app_file: app.py
 pinned: false
-license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Configuration
+
+`title`: _string_  
+Display title for the Space
+
+`emoji`: _string_  
+Space emoji (emoji-only character allowed)
+
+`colorFrom`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+
+`colorTo`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+
+`sdk`: _string_  
+Can be either `gradio` or `streamlit`
+
+`sdk_version` : _string_  
+Only applicable for `streamlit` SDK.  
+See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
+
+`app_file`: _string_  
+Path to your main application file (which contains either `gradio` or `streamlit` Python code).  
+Path is relative to the root of the repository.
+
+`pinned`: _boolean_  
+Whether the Space stays on top of your list.

app.py

@@ -0,0 +1,76 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('modelo18.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Bleach - Qual potencial de guerra?"
+description = "Reconhecer os 5 Potenciais (Bleach)"
+examples = ['Aizen.jpg', 'Ichigo.jpg', 'Zaraki.jpg','Ichibe.jpg', 'Urahar.jpg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,
+             inputs=gr.inputs.Image(shape=(512, 512)),
+             outputs=gr.outputs.Label(num_top_classes=3),
+             title=title,
+             description=description,
+             examples=examples,
+             interpretation=interpretation,
+             enable_queue=enable_queue).launch()
+
+#////////////////////////////////////////////////////////////////////////////////////////////////
+
+learn02 = load_learner('modelo34.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Bleach - Qual potencial de guerra?"
+description = "Reconhecer os 5 Potenciais (Bleach)"
+examples = ['Aizen.jpg', 'Ichigo.jpg', 'Zaraki.jpg','Ichibe.jpg', 'Urahar.jpg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,
+             inputs=gr.inputs.Image(shape=(512, 512)),
+             outputs=gr.outputs.Label(num_top_classes=3),
+             title=title,
+             description=description,
+             examples=examples,
+             interpretation=interpretation,
+             enable_queue=enable_queue).launch()
+
+#////////////////////////////////////////////////////////////////////////////////////////////////
+
+learn03 = load_learner('modelo50.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Bleach - Qual potencial de guerra?"
+description = "Reconhecer os 5 Potenciais (Bleach)"
+examples = ['Aizen.jpg', 'Ichigo.jpg', 'Zaraki.jpg','Ichibe.jpg', 'Urahar.jpg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,
+             inputs=gr.inputs.Image(shape=(512, 512)),
+             outputs=gr.outputs.Label(num_top_classes=3),
+             title=title,
+             description=description,
+             examples=examples,
+             interpretation=interpretation,
+             enable_queue=enable_queue).launch()

model18.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd7f99fd4f6668d2db5dd3af3463b765baa05639f4853dd6383bec6103dcdaf0
+size 46978159

model34.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3630fa5352ab1b038b6fe20b020db0c1517b811be35ca66013aff93375a3b8ef
+size 87484143

model50.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d2873fa05ae3af82d7a5eb42de7bde318bb28f96647e51526d046aaa2f08b31
+size 102904931