README.md

metadata

title: ContextDB 🤝 Justcall
emoji: 🎯
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 5.47.0
app_file: app.py
pinned: false
license: mit
short_description: AI-powered conversation analysis with insights and summaries

🎯 Conversation Analysis Dashboard

An AI-powered dashboard for analyzing customer conversations with intelligent insights, summaries, and follow-up email generation.

Features

• 📊 Conversation Analysis: View and analyze customer conversations with quality scores and sentiment analysis
• 💡 AI Insights: Get marketing insights and key findings from conversations
• 📧 Follow-up Emails: Generate contextual follow-up emails based on conversation analysis
• 🔍 Smart Filtering: Filter conversations by quality score, sentiment, and search terms
• 📈 Real-time Updates: Dynamic table updates with conversation details

How to Use

1. View Conversations: Browse through analyzed conversations in the main table
2. Filter Data: Use the quality score slider, sentiment dropdown, and search box to filter conversations
3. View Details: Click on any conversation row to see detailed analysis including:
   • Contextual summary
   • Marketing insights with quotes and sentiment
   • Generated follow-up email
4. Refresh Data: Use the refresh button to reload the latest conversation data

Technology Stack

• Frontend: Gradio for interactive UI
• Backend: Python with MongoDB for data storage
• AI: OpenAI GPT models for conversation analysis
• Database: MongoDB Atlas for conversation and RAG data storage

Data Sources

The dashboard analyzes conversations from MongoDB collections:

• test_intercom_data: Main conversation data with analysis results
• rag_intercom: RAG index for semantic search and context retrieval

Getting Started

The app will automatically connect to the configured MongoDB instance and load conversation data. No additional setup required!