Adjust chunk and stride lengths in the transcription pipeline in app.py to optimize processing efficiency and improve transcription accuracy.

Update add_urdu_punctuation function in app.py to return processed text with newline characters instead of spaces, improving text formatting for output.

Add Urdu punctuation support in app.py by implementing a function to add full stops and optional commas, enhancing text output from the transcription process.

Update app.py to compile the model for improved performance and adjust chunk and stride lengths in the transcription pipeline for better processing efficiency.

Add CPU performance tweaks in app.py by setting thread limits for OMP and MKL, enhancing multi-threading efficiency.

Remove low CPU memory usage option from model loading in app.py, streamlining the model initialization process.

Refactor app.py to remove CPU performance tweaks, adjust chunk length in the transcription pipeline for improved accuracy, and enable low CPU memory usage during model loading.

Update app.py to adjust chunk and stride lengths in the transcription pipeline for a better balance between speed and accuracy.

Update app.py to change model loading to use float32, add model evaluation mode, and implement dynamic quantization for improved performance.

Update app.py to change model loading to use float16 for improved performance, and remove dynamic quantization. Update README.md to change the emoji and adjust color settings for better visual consistency.

Refactor app.py to simplify warning suppression by using a general filter for FutureWarnings, enhancing code maintainability.

Enhance app.py by adding a warning filter to suppress deprecation messages related to input naming, improving code clarity and future compatibility.

Refactor app.py to optimize CPU performance, update model loading to use fp32 and quantization, and enhance the transcription function with improved audio processing and error handling.

Refactor app.py to suppress logging warnings by setting verbosity to error, improving the clarity of the application output.

Update app.py to correct example audio file reference, ensuring accurate demonstration of the Urdu transcription feature.

Update app.py to remove the emoji from the Gradio interface title, streamlining the presentation of the Urdu Speech Recognition application.

Update app.py to improve the article link styling and change the title emoji for the Gradio interface, enhancing the overall user experience.

Refactor app.py to enhance Gradio interface with improved description, examples, and article link; update README.md emoji; add torchaudio dependency in requirements.txt.

Update README.md to include details about the whisper-large-v3-turbo-urdu model and its evaluation results.