Update README.md

README.md

@@ -8,5 +8,25 @@ sdk_version: 4.27.0
 app_file: app.py
 pinned: false
 ---
+# Gradio spaces on Huggingface for inferencing CustomResnet18 trained on CIFAR10 using Pytorch Lightning
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+## Basic expectations
+- Migrate Custom Resnet18 code from Pytorch to Pytorch Lightning first and then to Spaces such that:
+  - Migrate model on Lightning from Pytorch
+  - Use Gradio for deployment of Spaces app
+
+- Spaces app has these features:
+  - Ask the user whether he/she wants to see GradCAM images
+    - How many
+    - From which layer
+    - Allow opacity change as well
+  - Ask whether he/she wants to view misclassified images
+    - How many
+  - Allow users to upload new images
+  - Provide 10 example images as well
+  - Ask how many top classes are to be shown (make sure the user cannot enter more than 10)
+
+
+## Reference to the repo used for training the Lightning model
+- https://github.com/ChintanShahDS/ERAV2_Lit
+- Follow this to try your own Resnet18 model with different hyperparameters and options on Pytorch Lightning