Fix Dockerfile.hpu ffmpeg package install, update README.md whisper container usage

Dockerfile.hpu

@@ -22,9 +22,17 @@ RUN apt-get update && apt-get install -y \
     bc \
     gawk \
     tmux \
-    ffmpeg \
     && rm -rf /var/lib/apt/lists/*
 
+# Download and install the static build of ffmpeg
+RUN mkdir -p /usr/local/bin/ffmpeg && \
+    cd /usr/local/bin/ffmpeg && \
+    wget https://johnvansickle.com/ffmpeg/releases/ffmpeg-release-amd64-static.tar.xz && \
+    tar -xf ffmpeg-release-amd64-static.tar.xz && \
+    cp -a ffmpeg-*-static/ffmpeg /usr/bin/ffmpeg && \
+    cp -a ffmpeg-*-static/ffprobe /usr/bin/ffprobe && \
+    rm -rf /usr/local/bin/ffmpeg
+
 # Add Whisper repo contents
 ADD . /root/whisper
 WORKDIR /root/whisper

README.md

@@ -160,7 +160,7 @@ docker run -it --runtime=habana \
   --cap-add=sys_nice \
   --net=host \
   --ipc=host \
-  -v /path/to/your/whisper:/workspace/whisper \
+  -v /path/to/your/whisper:/root/whisper \
   whisper_hpu:latest \
   /bin/bash
 ```
@@ -171,7 +171,20 @@ Make sure to replace `/path/to/your/whisper` with the path to the Whisper reposi
 
 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
+    python3 -m whisper.transcribe audio.flac audio.mp3 audio.wav --model turbo --device hpu
+
+
+### Python usage with Intel® Gaudi® hpu
+
+To use Intel® Gaudi® hpu within Python, you can specify the device when loading the model:
+
+```python
+import whisper
+
+model = whisper.load_model("turbo", device="hpu")
+result = model.transcribe("audio.mp3")
+print(result["text"])
+```
 
 ## More examples