Update README.md

README.md

@@ -1,3 +1,119 @@
+🎯 Overview
+
+This project is a Sentiment, Emotion, and Tone Analysis API powered by NLP + Speech Recognition.
+It provides a simple way to analyze any text or voice input and outputs three key psychological indicators:
+
+Sentiment → Overall polarity of the text (positive/negative/neutral)
+
+Emotion → Emotional undertone detected (positive/negative/neutral)
+
+Tone → Financial/business tone detection using FinBERT (positive/negative/neutral)
+
+The system returns a clean JSON output with numeric scores in the range -1 to +1, where:
+
+Positive → +value
+
+Negative → -value
+
+Neutral → 0
+
+Example output:
+
+[
+  {
+    "sentiment": -0.3,
+    "emotion": -0.62,
+    "tone": -1.0
+  }
+]
+
+🔑 Features
+
+Text Analysis
+
+Input plain text and get instant sentiment, emotion, and tone scores.
+
+Voice Analysis
+
+Upload a WAV/AIFF audio file.
+
+The system transcribes it (using speech_recognition free Google Web Speech API).
+
+Runs the transcription through the NLP pipeline.
+
+Unified JSON Output
+
+Strict format for easy integration into any app, dashboard, or pipeline.
+
+Models Used
+
+VADER (NLTK) → Sentiment scoring
+
+tabularisai/multilingual-sentiment-analysis (Hugging Face) → Emotion classification
+
+FinBERT (yiyanghkust/finbert-tone) → Business/financial tone detection
+
+🛠️ Tech Stack
+
+Backend: Python + FastAPI
+
+Libraries: nltk, transformers, torch, SpeechRecognition
+
+Deployment: Hugging Face Spaces (Docker SDK, free CPU)
+
+📡 Endpoints
+1. POST /analyze-text
+
+Request:
+
+{ "text": "I love the service but delivery was late." }
+
+
+Response:
+
+[
+  { "sentiment": 0.7, "emotion": -0.4, "tone": -0.9 }
+]
+
+2. POST /analyze-voice
+
+Request:
+
+Form-data upload: [email protected]
+
+Response:
+
+[
+  { "sentiment": -0.2, "emotion": -0.5, "tone": 0.0 }
+]
+
+🚀 Use Cases
+
+Customer support analysis (detect angry vs happy customers).
+
+Financial news / earnings call tone monitoring.
+
+Social media listening (track public mood & emotions).
+
+Personal productivity apps (journal tone/sentiment analysis).
+
+Call center or chatbot integrations.
+
+⚡ Advantages
+
+✅ Free & lightweight (no paid API required).
+
+✅ Works on both text & voice.
+
+✅ Multilingual support for emotions.
+
+✅ JSON output with strict schema (easy to integrate).
+
+✅ Deployable on Hugging Face Spaces for free.
+
+
+
+
 ---
 title: Sentiment Analysis
 emoji: 🏢
@@ -8,5 +124,4 @@ pinned: false
 license: mit
 short_description: 'This project is a Sentiment, Emotion, and Tone Analysis API '
 ---
-
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference