Upload 10 files

.gitattributes

@@ -33,3 +33,7 @@ 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
+examples/example_0.jpg filter=lfs diff=lfs merge=lfs -text
+examples/example_1.png filter=lfs diff=lfs merge=lfs -text
+examples/example_3.png filter=lfs diff=lfs merge=lfs -text
+examples/example_5.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,12 +1,13 @@
 ---
-title: ESPR-Weapons Class
-emoji: 😻
-colorFrom: yellow
-colorTo: purple
+title: CSGO Weapon Classification App
+emoji: 🔫
+colorFrom: green
+colorTo: yellow
 sdk: gradio
-sdk_version: 5.21.0
+sdk_version: 3.0.24
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+examples = ["examples/example_0.jpg", 
+            "examples/example_1.png", 
+            "examples/example_2.png", 
+            "examples/example_3.png", 
+            "examples/example_4.jpg",
+            "examples/example_5.png"]
+
+pipe = pipeline(task="image-classification", 
+                model="Kaludi/csgo-weapon-classification")
+gr.Interface.from_pipeline(pipe, 
+                           title="CSGO Weapon Image Classification",
+                           description = "This is a CSGO Weapon Classifier Model that has been trained by <strong><a href='https://huggingface.co/Kaludi'>Kaludi</a></strong> to recognize <strong>11</strong> different types of Counter-Strike: Global Offensive (CSGO) Weapons, which include <strong>AK-47,AWP,Famas,Galil-AR,Glock,M4A1,M4A4,P-90,SG-553,UMP,USP</strong>. The model is capable of accurately classifying the weapon name present in an image. With its deep understanding of the characteristics of each weapon in the game, the model is a valuable tool for players and fans of CSGO.",
+                           article = "<p style='text-align: center'><a href='https://github.com/Kaludii'>Github</a> | <a href='https://huggingface.co/Kaludi'>HuggingFace</a></p>",
+                           examples=examples,
+                           ).launch()

requirements.txt

@@ -0,0 +1,4 @@
+fastai==2.7.4
+huggingface_hub[fastai]
+fastcore>=1.3.27
+transformers

resources/food_info.csv

@@ -0,0 +1,4 @@
+Food,Calories,Grams of Fat,Grams of Carbs,Grams of Protein
+sushi,1,2g,2g,2g
+apple_pie,2,2g,2g,2g
+tiramisu,3,2g,2g,2g