fix: add missing requirements.txt for government_rag and llm_simple_qa examples

[31groot]

What type of PR is this?
/kind documentation

What this PR does / why we need it:
government_rag and llm_simple_qa examples had no requirements.txt,
this causes new contributors to hit ModuleNotFoundError with no guidance
on what to install. Both llm-agent and llm-edge-benchmark-suite
already have requirements.txt, this brings the remaining LLM examples
to the same standard.

Added dependencies based on actual imports found in each example's
basemodel.py and algorithm files.

Which issue(s) this PR fixes:
Fixes #563

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[gemini-code-assist]

Code Review

This pull request introduces requirements.txt files for the government_rag and llm_simple_qa examples. The feedback highlights that numpy and requests are missing from the government_rag requirements, which are necessary to prevent ModuleNotFoundError during execution.

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[gemini-code-assist]

The government_rag example's basemodel.py imports numpy at the top level (line 26) and uses requests in the default qianfan model response method (line 118). To prevent ModuleNotFoundError when running this example, both numpy and requests should be added to the requirements.txt file.

torch>=2.0.0
transformers>=4.30.0
numpy>=1.24.0
requests>=2.28.0
langchain>=0.1.0
langchain-community>=0.0.20
chromadb>=0.4.0
tqdm>=4.65.0
unstructured[docx]>=0.10.0

[31groot]

/assign @MooreZheng