Android artifact update to 241002

README.md

@@ -477,9 +477,9 @@ The following assumes you've completed the steps for [Setting up ExecuTorch](#se
 
 1. Download the AAR file, which contains the Java library and corresponding JNI library, to build and run the app.
 
-   - [executorch-240919.aar](https://ossci-android.s3.amazonaws.com/executorch/main/executorch-240919.aar) (SHASUM: c8a5d38ead03bfa28ee8469f6355840ad0d182ba)
+   - [executorch.aar](https://ossci-android.s3.amazonaws.com/executorch/release/executorch-241002/executorch.aar) (sha256sum: 2546feed560cef01cc7b47260c694311346196934f41900cac08e418f4a60096)
 
-2. Rename the downloaded AAR file to `executorch.aar` and move the file to `torchchat/edge/android/torchchat/app/libs/`. You may need to create directory `torchchat/edge/android/torchchat/app/libs/` if it does not exist.
+2. Move the downloaded AAR file to `torchchat/edge/android/torchchat/app/libs/`. You may need to create directory `torchchat/edge/android/torchchat/app/libs/` if it does not exist.
 
 3. Push the model and tokenizer file to your device. You can find the model file called `llama3.1.pte` in the current `torchchat` directory and the tokenizer file at `$(python3 torchchat.py where llama3.1)/tokenizer.model` path.
     ```

torchchat/utils/scripts/android_example.sh

@@ -30,8 +30,8 @@ else
   exit -1
 fi
 
-LLAMA_AAR_URL="https://ossci-android.s3.amazonaws.com/executorch/main/executorch-240919.aar"
-LLAMA_AAR_SHASUM="c8a5d38ead03bfa28ee8469f6355840ad0d182ba"
+LLAMA_AAR_URL="https://ossci-android.s3.amazonaws.com/executorch/release/executorch-241002/executorch.aar"
+LLAMA_AAR_SHASUM="2546feed560cef01cc7b47260c694311346196934f41900cac08e418f4a60096"
 
 mkdir -p ${TORCHCHAT_ROOT}/build/android