Update README.md

README.md

@@ -1,26 +1,34 @@
 ---
 tags:
-- autotrain
 - vision
 - image-classification
+- CSGO
 datasets:
-- Kaludi/autotrain-data-csgo-weapon-classification2
+- Kaludi/csgo-weapon-classification2
 widget:
-- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
-  example_title: Tiger
-- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
-  example_title: Teapot
-- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
-  example_title: Palace
+- src: https://media.moddb.com/images/downloads/1/219/218947/render.png
+  example_title: AK47
+- src: https://cdn.cloudflare.steamstatic.com/apps/csgo/images/workshop/finishes/rarity_4.png
+  example_title: AK47
+- src: https://fpschampion.com/wp-content/uploads/2022/08/best-awp-skins.jpg
+  example_title: AWP
+- src: https://prod.assets.earlygamecdn.com/images/csgo_weapons_machine_gun.jpg?x=0.5&y=0.5
+  example_title: Negev
+- src: https://mir-s3-cdn-cf.behance.net/project_modules/fs/c6040519785195.562e039771066.png
+  example_title: USP-S
 co2_eq_emissions:
   emissions: 0.0421564161796381
 ---
 
-# Model Trained Using AutoTrain
+# CSGO Weapon Classification
+
+This is a CSGO Weapon Classifier Model that has been trained by [Kaludi](https://huggingface.co/Kaludi) to recognize **33** different types of Counter-Strike: Global Offensive (CSGO) Weapons, which include **AK-47,AWP,Aug,CZ-75,Famas,Five_Seven,G3SG1,Galil-AR,Glock,M249,M4A1,M4A4,MAC-10,MP-5,MP-7,MP-9,Mag-7,Negev,Nova,P-2000,P-90,P250,Revolver,SG-553,Sawed-Off,Scar-20,Scout,Tec-9,UMP,USP,XM-1014,dual_pistol,pp**. 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.
+
+### Gradio
+
+Tis model supports a [Gradio](https://github.com/gradio-app/gradio) Web UI to run the csgo-weapon-classification model:
+[![Open In HF Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f25463025394625413425393725323048756767696e67253230466163652d5370616365732d626c7565)](https://huggingface.co/spaces/Kaludi/CSGO-Weapon-Classification_App)
 
-- Problem type: Multi-class Classification
-- Model ID: 3235290487
-- CO2 Emissions (in grams): 0.0422
 
 ## Validation Metrics