Bump dependencies for batch-predictor and pyfunc-server (#557)

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# Description
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illustrations where appropriate. -->

From internal testing, there are some models with dependencies conflict,
similar to what we encounter on #555:

1. Some batch jobs use pyarrow==10.0.1
2. Some pyfunc models use newer prometheus-client

# Modifications

1. Increase the upper limit of pyarrow
2. Remove the constraint of prometheus-client. From their [release
notes](https://github.com/prometheus/client_python/releases), there
should no breaking change.

# Tests
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scenarios should be tested? Consider the backward compatibility of the
changes, whether corner cases are covered, etc. Please describe the
tests and check the ones that have been completed. Eg:
- [x] Deploying new and existing standard models
- [ ] Deploying PyFunc models
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# Checklist
- [ ] Added PR label
- [ ] Added unit test, integration, and/or e2e tests
- [ ] Tested locally
- [ ] Updated documentation
- [ ] Update Swagger spec if the PR introduce API changes
- [ ] Regenerated Golang and Python client if the PR introduces API
changes

# Release Notes
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```release-note

```

python/batch-predictor/requirements.txt

@@ -2,5 +2,5 @@ cloudpickle==2.0.0
 findspark==2.0.1
 merlin-sdk==0.40.1
 mlflow==1.26.1
-pyarrow>=0.14.1,<=9.0.0
+pyarrow>=0.14.1,<11.0.0
 pyspark==3.0.1

python/pyfunc-server/requirements.txt

@@ -5,8 +5,8 @@ confluent-kafka==2.3.0
 grpcio-health-checking
 grpcio-reflection
 merlin-sdk==0.40.1
-numpy >= 1.8.2
+numpy>=1.8.2
 orjson>=2.6.8
-prometheus_client==0.14.1
+prometheus-client
 tornado
 uvloop