Update README.md for building instructions

README.md

@@ -4,28 +4,20 @@ The TFHE-CLI tool allows developers to use __tfhe-rs__ features through a user-f
 
 This tool can be used locally or through a docker image.
 
-# Quick start
+# Build
 
-If you want to generate fhe keys for your evmos node:
-
-On x86:
-```bash
-$ mkdir -p res && docker run -v $PWD:/usr/local/app ghcr.io/zama-ai/fhevm-tfhe-cli:v0.1.1 fhevm-tfhe-cli generate-keys -d res
+## Local
 ```
+# for x86 CPUs
+cargo build --features tfhe/x86_64-unix --release
 
-On arm64:
-```bash
-$ mkdir -p res && docker run -v $PWD:/usr/local/app ghcr.io/zama-ai/fhevm-tfhe-cli:v0.1.1-arm64 fhevm-tfhe-cli generate-keys -d res
+# for ARM64
+cargo build --features tfhe/aarch64-unix --release
 ```
 
-Typical output:
-```bash
-# Generating FHE keys in res
-# Generated cks size: 41130 bytes
-# Generated sks size: 100729006 bytes
-# Generated pks size: 16553 bytes
-$ ls res
-# cks  pks  sks
+# Docker
+```
+docker build -t fhevm-tfhe-cli:latest .
 ```
 
 # Running operations
@@ -35,9 +27,8 @@ Make sure you either have Docker or the Rust toolchain installed on your host ma
 Please replace `FHEVM_TFHE_CLI` with either:
  * "`cargo run --features tfhe/aarch64-unix --release -- `" - for ARM CPUs when running locally on the host
  * "`cargo run --features tfhe/x86_64-unix --release -- `" - for x86 CPUs when running locally on the host
- * "`docker run -v $LOCAL_DIR:/usr/local/app ghcr.io/zama-ai/fhevm-tfhe-cli:$TAG fhevm-tfhe-cli`"
+ * "`docker run -v $LOCAL_DIR:/usr/local/app fhevm-tfhe-cli:latest fhevm-tfhe-cli`"
     * replace LOCAL_DIR with a local directory of choice in order to persist output from the tool when using Docker
-    * replace TAG with a known tagged version
 
 For more information on Docker, see below.