Update README.md

README.md

@@ -1,13 +1,53 @@
 ---
-title: Sentiment Analysis
-emoji: 👁
-colorFrom: yellow
-colorTo: gray
+title: AI Conversation Sentiment Analyzer
+emoji: 🎙
+colorFrom: blue
+colorTo: purple
 sdk: gradio
-sdk_version: 6.4.0
+sdk_version: 4.44.1
 app_file: app.py
 pinned: false
 license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🎙 AI Conversation Sentiment Analyzer
+
+An AI-powered system that transcribes audio, detects speakers, and analyzes sentiment for each utterance.
+
+---
+
+## 🚀 Features
+
+- 🎧 Upload audio or record via microphone  
+- 🗣 Automatic speaker detection (multi-speaker support)  
+- 💬 Sentiment analysis per utterance  
+- ⏱ Timestamped transcription  
+- 📁 Export results to:
+  - TXT  
+  - JSON  
+  - CSV  
+  - Word (.docx)  
+  - PDF  
+
+---
+
+## 🧠 How It Works
+
+1. Audio is processed using **AssemblyAI** for transcription  
+2. Speaker diarization identifies different speakers  
+3. Each sentence is analyzed using a **Hugging Face sentiment model**  
+4. Results are displayed and can be exported  
+
+---
+
+## ⚙️ Usage
+
+1. Upload an audio file or record using the microphone  
+2. (Optional) Set number of speakers or leave as `0` for auto  
+3. Choose language or keep `auto`  
+4. Click **🚀 Analyze**  
+5. View and export results  
+
+---
+
+## 📊 Example Output