updated docker file

Dockerfile

@@ -5,7 +5,7 @@ FROM pytorch/pytorch:1.11.0-cuda11.3-cudnn8-runtime
 
 LABEL maintainer="Jacob Schmieder"
 LABEL email="Jacob.Schmieder@dbfz.de"
-LABEL version="0.1.2"
+LABEL version="0.1.1.dev"
 LABEL description="Scraibe is a tool for automatic speech recognition and speaker diarization. \
                     It is based on the Hugging Face Transformers library and the Pyannote library. \
                     It is designed to be used with the Whisper model, a lightweight model for automatic \
@@ -14,7 +14,7 @@ LABEL url="https://github.com/JSchmie/ScrAIbe"
 
 # Install dependencies
 WORKDIR /app
-ARG hf_token
+ARG model_name=medium
 #Enviorment Dependncies
 ENV TRANSFORMERS_CACHE /app/models
 ENV HF_HOME /app/models
@@ -26,8 +26,8 @@ COPY README.md /app/README.md
 COPY models /app/models
 COPY scraibe /app/scraibe
 COPY setup.py /app/setup.py
-#Installing all necessary Dependencies and Running the Application with a personalised Hugging-Face-Token
 
+#Installing all necessary Dependencies and Running the Application with a personalised Hugging-Face-Token
 RUN apt update && apt-get install -y libsm6 libxrender1 libfontconfig1
 RUN conda update --all
 
@@ -35,10 +35,12 @@ RUN conda install pip
 RUN conda install -y ffmpeg 
 RUN conda install -c conda-forge libsndfile
 RUN pip install torchaudio==0.11.0+cu113 -f https://download.pytorch.org/whl/torch_stable.html
-RUN pip install /app/ 
+RUN pip install -r requirements.txt
 RUN pip install markupsafe==2.0.1 --force-reinstall
-RUN scraibe --whisper-model-name small
+
+RUN python3 -m 'scraibe.cli' --whisper-model-name $model_name
 # Expose port
 EXPOSE 7860
 # Run the application
-ENTRYPOINT ["scraibe" ,"--whisper-model-name", "small"]  
+
+ENTRYPOINT ["python3", "-m",  "scraibe.cli" ,"--whisper-model-name", "$model_name"]