normalisation added

[ramkumar-ns-dev]

When users speak to the chatbot in Hindi, the Automatic Speech Recognition (ASR) / Speech-to-Text (STT) pipeline transcribes the audio literally. For instance, numbers, dates, or currencies are written out as spoken words (e.g., transcribing spoken numbers like "कक्षा दो" or "एक सौ पचास" into words).

The Inverse Text Normalization (ITN) feature automatically parses the spoken Hindi text and converts it into its standard written/numerical formats (e.g., converting "कक्षा दो" to "कक्षा 2" and "एक सौ पचास" to "150"), making the transcribed text cleaner and much more readable for both the user and the downstream LLM processing.

Package Used: indic-itn==0.1.0 (specifically the HindiITN module)

Summary by CodeRabbit
New Features
Added Hindi, Tamil, Telugu, Kannada transcription text normalization to improve number and formatting consistency.
Added support for creating.
Improvements
Raised the minimum supported Python version to 3.11 and refreshed related dependencies to include text normalization.
Improved multi-part transcription output handling with normalization and safer fallback behavior.

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[bhavana-venugopal]

@ramkumar-ns-dev Please change the base branch to the latest release-2.3.0 branch, and reshare.

[ramkumar-ns-dev]

@ramkumar-ns-dev Please change the base branch to the latest release-2.3.0 branch, and reshare.

@bhavana-venugopal here's the updated PR : #35

[ramkumar-ns-dev]

once the PR merged, i'll close this PR.