Add Urdu full stop handling in transcribe function of app.py

Refactor app.py to streamline model setup by removing unnecessary device specification and loading the model directly in int8 format, enhancing code clarity.

Update app.py

Update app.py

Update app.py

Update app.py

Update README.md

Update app.py

Update app.py

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.

Merge branch 'main' of https://huggingface.co/spaces/kingabzpro/Transcribed-Urdu

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

Update README.md

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.

Enhance README.md with additional information on the whisper-large-v3-turbo-urdu model's features and performance metrics.

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

initial commit