docker release updated

.github/workflows/docker.yaml

@@ -0,0 +1,41 @@
+name: Publish Docker image
+
+defaults:
+  run:
+    shell: bash
+
+on:
+  push:
+    branches-ignore:
+      - '**'
+    tags:
+      - 'v*.*.*'
+
+jobs:
+  push_to_registry:
+    name: Push Docker image to Docker Hub
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out the repo
+        uses: actions/checkout@v3
+
+      - name: Log in to Docker Hub
+        uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7
+        with:
+          images: fairdatasociety/huggingface-vectorizer
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@3b5e8027fcad23fda98b2e3ac259d8d67585f671
+        with:
+          context: .
+          file: ./Dockerfile
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}

README.md

@@ -16,8 +16,8 @@ These instructions will help you set up and run the server on your local machine
 1. Clone the repository:
 
 ```bash
-   git clone https://github.com/onepeerlabs/huggingface-embeddings.git
-   cd your-server
+   git clone https://github.com/fairDataSociety/huggingface-vectorizer.git
+   cd huggingface-vectorizer
 ```
 
 2. Install the required Python packages:
@@ -41,13 +41,13 @@ By default, the server will listen on port 9876. You can customize the port by m
 You can also run the server in a Docker container. First, build the Docker image:
 
 ```bash
-    docker build -t onepeerlabs/huggingface-embeddings .
+    docker build -t fairdatasociety/huggingface-vectorizer .
 ```
 
 Run the container:
 
 ```bash
-    docker run -p 9876:9876 onepeerlabs/huggingface-embeddings --model-name sentence-transformers/all-MiniLM-L6-v2
+    docker run -p 9876:9876 fairdatasociety/huggingface-vectorizer --model-name sentence-transformers/all-MiniLM-L6-v2
 ```
 
 ### API Endpoints