Fix vulnerable Python dependencies

[morteza89]

No description provided.

[Copilot]

Pull request overview

This PR updates Python (and Pixi) dependency versions across several demos/projects in the repo to address vulnerable/outdated packages, along with some incidental formatting and small runtime-behavior changes in Streamlit apps.

Changes:

• Bump versions for common Python dependencies (e.g., torch, gitpython, jupyterlab, setuptools, aiohttp, langchain ecosystem) across multiple pyproject.toml/requirements.txt files.
• Update Pixi tooling configuration (Pixi version + pixi.toml structure/dependencies) for the Automated Prompt Engineering sample.
• Minor code formatting updates in Streamlit apps; additionally, several exception handlers were changed to catch BaseException.

Reviewed changes

Copilot reviewed 12 out of 19 changed files in this pull request and generated 5 comments.

Show a summary per file

File	Description
Video-Description-Generation-Query-Retrieval/st_video_rag_demo.py	Formatting tweaks; exception handling changed (now catches BaseException in a couple places).
Video-Description-Generation-Query-Retrieval/pyproject.toml	Dependency version bumps (gitpython/torch/jupyterlab/setuptools).
Text-Summarizer-Browser-Plugin/requirements.txt	Dependency updates/additions (sentence-transformers, langchain_chroma, chromadb, transformers).
LLM/src/st_rag_chat.py	Formatting-only changes (whitespace/spacing).
LLM/rag/requirements.txt	LangChain-related dependency upgrades.
LLM/PyTorch/pyproject.toml	Dependency version bumps; remove gtts; bump aiohttp/jupyterlab/setuptools.
Genre-driven-storytelling/pyproject.toml	Dependency version bumps (jupyterlab/setuptools).
Finetune_Image_Captioning/pyproject.toml	Dependency version bumps (aiohttp/jupyterlab/setuptools).
Automated-Prompt-Engineering/tools/pixi_settings.ps1	Pixi version bump.
Automated-Prompt-Engineering/tools/pixi_settings.env	Pixi version bump.
Automated-Prompt-Engineering/pixi.toml	Pixi config updated (workspace/dependencies adjusted).
AI-Upscaling-With-NPU/pyproject.toml	Dependency version bumps (jupyterlab/notebook/setuptools).
AI-Upscaling-With-NPU/NPU_Upscaling_demo.py	Formatting tweaks; multiple exception handlers changed to catch BaseException.

Suppressed comments (3)

AI-Upscaling-With-NPU/NPU_Upscaling_demo.py:188

• Avoid catching BaseException in Streamlit apps (it can intercept rerun/stop and KeyboardInterrupt/SystemExit). Catch Exception (or a specific OpenVINO error) when reading GPU properties.

        except BaseException:
            info['gpu_name'] = "Unknown GPU"

AI-Upscaling-With-NPU/NPU_Upscaling_demo.py:280

• These BaseException handlers may swallow Streamlit rerun/stop control-flow exceptions and make the sidebar render inconsistently. Use Exception (or narrower OpenVINO exceptions) for property probing.

                        except BaseException:
                            try:
                                prop_val = core.get_property("GPU", prop_key)
                            except BaseException:
                                prop_val = "N/A"

AI-Upscaling-With-NPU/NPU_Upscaling_demo.py:855

• Catching BaseException around ffmpeg conversion can swallow KeyboardInterrupt/SystemExit and Streamlit control exceptions. Limit this to the errors you expect from subprocess execution (e.g., CalledProcessError / FileNotFoundError) before falling back to the AVI output.

    except BaseException:
        output_path = temp_output

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