new models added

"facebook/convnext-large-224"
"timm/resnet50.a1_in1k"
"timm/mobilenetv3_large_100.ra_in1k"
"trpakov/vit-face-expression"
"rizvandwiki/gender-classification"
"#q-future/one-align"
"LukeJacob2023/nsfw-image-detector"
"vit-base-patch16-224-in21k"
"not-lain/deepfake"
"carbon225/vit-base-patch16-224-hentai"
"facebook/convnext-base-224-22k-1k"
"facebook/convnext-large-224"
"facebook/convnext-tiny-224"
"nvidia/mit-b0"
"microsoft/resnet-18"
"microsoft/swinv2-base-patch4-window16-256"
"andupets/real-estate-image-classification"
"timm/tf_efficientnetv2_s.in21k"
"timm/convnext_tiny.fb_in22k"
"DunnBC22/vit-base-patch16-224-in21k_Human_Activity_Recognition"
"FatihC/swin-tiny-patch4-window7-224-finetuned-eurosat-watermark"
"aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier"
"RickyIG/emotion_face_image_classification"
"shadowlilac/aesthetic-shadow"

.vscode/settings.json

@@ -0,0 +1,22 @@
+{
+    "workbench.colorCustomizations": {
+        "activityBar.activeBackground": "#65c89b",
+        "activityBar.background": "#65c89b",
+        "activityBar.foreground": "#15202b",
+        "activityBar.inactiveForeground": "#15202b99",
+        "activityBarBadge.background": "#945bc4",
+        "activityBarBadge.foreground": "#e7e7e7",
+        "commandCenter.border": "#15202b99",
+        "sash.hoverBorder": "#65c89b",
+        "statusBar.background": "#42b883",
+        "statusBar.foreground": "#15202b",
+        "statusBarItem.hoverBackground": "#359268",
+        "statusBarItem.remoteBackground": "#42b883",
+        "statusBarItem.remoteForeground": "#15202b",
+        "titleBar.activeBackground": "#42b883",
+        "titleBar.activeForeground": "#15202b",
+        "titleBar.inactiveBackground": "#42b88399",
+        "titleBar.inactiveForeground": "#15202b99"
+    },
+    "peacock.color": "#42b883"
+}

app.py

@@ -20,6 +20,31 @@ MODELS = [
             "-- Reinstated on testing--",
             "microsoft/beit-base-patch16-224-pt22k-ft22k", #Classifição geral
             "-- New --"
+            "-- Still in the testing process --"
+            "facebook/convnext-large-224"
+            "timm/resnet50.a1_in1k"
+            "timm/mobilenetv3_large_100.ra_in1k"
+            "trpakov/vit-face-expression"
+            "rizvandwiki/gender-classification"
+            "#q-future/one-align"
+            "LukeJacob2023/nsfw-image-detector"
+            "vit-base-patch16-224-in21k"
+            "not-lain/deepfake"
+            "carbon225/vit-base-patch16-224-hentai"
+            "facebook/convnext-base-224-22k-1k"
+            "facebook/convnext-large-224"
+            "facebook/convnext-tiny-224"
+            "nvidia/mit-b0"
+            "microsoft/resnet-18"
+            "microsoft/swinv2-base-patch4-window16-256"
+            "andupets/real-estate-image-classification"
+            "timm/tf_efficientnetv2_s.in21k"
+            "timm/convnext_tiny.fb_in22k"
+            "DunnBC22/vit-base-patch16-224-in21k_Human_Activity_Recognition"
+            "FatihC/swin-tiny-patch4-window7-224-finetuned-eurosat-watermark"
+            "aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier"
+            "RickyIG/emotion_face_image_classification"
+            "shadowlilac/aesthetic-shadow"
 
         ]
 
@@ -50,13 +75,18 @@ def print_result(result):
 
 def main():
     st.title("Image Classification")
-    input_image = st.file_uploader("Upload Image")
+    st.write("This is a simple web app to test and compare different image classifier models using Hugging Face's image-classification pipeline.")
+    st.write("From time to time more models will be added to the list. If you want to add a model, please open an issue on the GitHub repository.")
+    
+    st.write("The models available are:")    
     shosen_model = st.selectbox("Select the model to use",  MODELS)
     
+    st.write("Upload an image and click on the 'Classify' button to classify the image.")
+    input_image = st.file_uploader("Upload Image")
+    
     if input_image is not None:
         image_to_classify = Image.open(input_image)
         st.image(image_to_classify, caption="Uploaded Image", use_column_width=True)
-
         if st.button("Classify"):
             image_to_classify = Image.open(input_image)
             classification_obj1 =[]

huggingface.co-spaces-Nunt-simple_image_classifier.url

@@ -0,0 +1,5 @@
+[{000214A0-0000-0000-C000-000000000046}]
+Prop3=19,11
+[InternetShortcut]
+IDList=
+URL=https://huggingface.co/spaces/Nunt/simple_image_classifier

nunt-simple-image-classifier.hf.space.url

@@ -0,0 +1,5 @@
+[{000214A0-0000-0000-C000-000000000046}]
+Prop3=19,11
+[InternetShortcut]
+IDList=
+URL=https://nunt-simple-image-classifier.hf.space/