Metadata-Version: 2.4
Name: tcai-sandesh
Version: 1.0.0
Summary: AI-powered audio sentiment analyzer with a Flask-based web interface.
Author: The Celeritas AI
Author-email: business@theceleritasai.com
Classifier: Programming Language :: Python :: 3
Classifier: Framework :: Flask
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: Flask==3.0.2
Requires-Dist: transformers==4.41.2
Requires-Dist: torch==2.6.0
Requires-Dist: speechrecognition==3.10.1
Requires-Dist: pydub==0.25.1
Requires-Dist: librosa==0.10.2
Requires-Dist: matplotlib==3.8.4
Requires-Dist: numpy==1.26.4
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# TCAI Sandesh 🎙️  
_Audio Analysis, Visualization & Web Interface_

TCAI Sandesh is a Python package and Flask-based web app that lets you **upload audio files**, **analyze them**, **visualize pitch patterns**, and display results in an interactive **web interface**.  

It integrates **deep learning models**, **signal processing**, and **speech recognition** to make analyzing audio seamless and intuitive.

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## 🚀 **Features**
- 🎧 **Audio Upload & Analysis** — Upload `.wav`, `.mp3`, etc.
- 🧠 **Transformer-based Models** — Uses Hugging Face `transformers` and `torch`.
- 🔊 **Speech Recognition** — Extracts transcriptions using `speechrecognition`.
- 📊 **Pitch Detection & Visualization** — Uses `librosa` + `matplotlib`.
- 🌐 **Built-in Flask Web Interface** — Simple and interactive.
- 📦 **Easy Installation** via **pip**.

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