Add Dockerfile_hpu + README.md section of hpu usage

Dockerfile_hpu

@@ -0,0 +1,35 @@
+# Use the official Gaudi Docker image with PyTorch
+FROM vault.habana.ai/gaudi-docker/1.17.0/ubuntu22.04/habanalabs/pytorch-installer-2.3.1:latest
+
+# Set environment variables for Habana
+ENV HABANA_VISIBLE_DEVICES=all
+ENV OMPI_MCA_btl_vader_single_copy_mechanism=none
+ENV PT_HPU_LAZY_ACC_PAR_MODE=0
+ENV PT_HPU_ENABLE_LAZY_COLLECTIVES=1
+
+# Install essential Linux packages and ffmpeg
+ENV DEBIAN_FRONTEND="noninteractive" TZ=Etc/UTC
+RUN apt-get update && apt-get install -y \
+    tzdata \
+    bash-completion \
+    python3-pip \
+    openssh-server \
+    vim \
+    git \
+    iputils-ping \
+    net-tools \
+    protobuf-compiler \
+    curl \
+    bc \
+    gawk \
+    tmux \
+    ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy the Whisper repo contents
+ADD whisper /root/whisper
+WORKDIR /root/whisper
+
+# Install Python packages from Whisper requirements
+RUN pip install --upgrade pip \
+    && pip install -r requirements.txt \

README.md

@@ -140,6 +140,36 @@ result = whisper.decode(model, mel, options)
 print(result.text)
 ```
 
+## Intel® Gaudi® hpu usage
+
+### Build the Docker Image
+
+```bash
+docker build -t whisper_hpu:latest -f Dockerfile_hpu .
+```
+
+### Run the Container
+
+```bash
+docker run -it --runtime=habana \
+  -e HABANA_VISIBLE_DEVICES=all \
+  -e OMPI_MCA_btl_vader_single_copy_mechanism=none \
+  --cap-add=sys_nice \
+  --net=host \
+  --ipc=host \
+  -v /path/to/your/whisper:/workspace/whisper \
+  whisper_hpu:latest \
+  /bin/bash
+```
+
+Make sure to replace `/path/to/your/whisper` with the path to the Whisper repository on your local machine.
+
+### Command-line usage with Intel® Gaudi® hpu
+
+To run the `whisper` command with Intel® Gaudi® hpu, you can use the `--device hpu` option:
+
+    whisper audio.flac audio.mp3 audio.wav --model turbo --device hpu
+
 ## More examples
 
 Please use the [🙌 Show and tell](https://github.com/openai/whisper/discussions/categories/show-and-tell) category in Discussions for sharing more example usages of Whisper and third-party extensions such as web demos, integrations with other tools, ports for different platforms, etc.