added dockerfile

Dockerfile

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+# NOTE: This is a sample dockerfile for creating docker images for deploying
+#       a haystack pipeline. Follow the comments and make suitable changes for your use-case.
+#
+# Use-case showcased here:
+#       Dockerfile for a <blah> pipeline
+#
+# 
+# We also show how to cache HuggingFace models; both public and private. More details in the comments.
+# CAUTION: Do not use `huggingface-cli login` inside the docker as it store the access token locally
+#          Here we prefer passing access token as an `ARG` because,
+#          we only need to use access token to cache required model.
+#          Also, Do not create an ENV variable containing access token,
+#          as ENV variable remains active inside docker for its entire lifecycle.
+#          To know futher: https://huggingface.co/docs/hub/security-tokens#best-practices
+
+# Choose appropriate Haystack base image (i.e. v1.13.2)
+ARG HAYSTACK_BASE_IMAGE=deepset/haystack:cpu-v1.13.2
+FROM $HAYSTACK_BASE_IMAGE
+
+#ARG hf_model_names="['deepset/minilm-uncased-squad2']"
+# `hf_model_names` should be a list of string containing model names from HuggingFace hub
+# i.e., "['hf/model1']"        or        "['hf/model1', 'hf/model2', 'hf/model3']"
+
+#ARG hf_token=''
+
+# To cache HuggingFace public models
+#RUN python3 -c "from haystack.utils.docker import cache_models;cache_models($hf_model_names)"
+
+# To cache HuggingFace private models
+#RUN python3 -c "from haystack.utils.docker import cache_models;cache_models($hf_model_names, $hf_token)"
+
+# To copy pipeline yml into the docker
+ARG local_pipeline_path=<blah>.yml
+ARG container_pipeline_path=/opt/haystack_pipelines/reader_retriever.yml
+COPY $local_pipeline_path $container_pipeline_path
+
+# Exporting Pipeline path as an env variable
+# Haystack reads this env variable to load the appropriate pipeline
+ENV PIPELINE_YAML_PATH=$container_pipeline_path
+
+RUN chmod 700 /opt/file-upload
+# cmd for starting Haystack API server
+CMD ["gunicorn", "rest_api.application:app",  "-b", "0.0.0.0", "-k", "uvicorn.workers.UvicornWorker", "--workers", "1", "--timeout", "180"]
+
+