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README.md

@@ -1,14 +1,43 @@
 ---
-title: Project Report Analyzer
-emoji: 🐨
-colorFrom: red
-colorTo: indigo
+title: Project Intelligence Hub
+emoji: 🔍
+colorFrom: blue
+colorTo: purple
 sdk: gradio
 sdk_version: 6.3.0
 app_file: app.py
 pinned: false
 license: mit
-short_description: Hybrid GraphRAG for extracting insights
+short_description: PDF reports to queryable knowledge graph
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Project Intelligence Hub
+
+Transform PDF project reports into a queryable Neo4j knowledge graph with natural language queries.
+
+## Features
+
+- **PDF Ingestion** — Extract entities and relationships from project reports
+- **Knowledge Graph** — Build structured graph with Projects, Budgets, Locations, Milestones, Challenges
+- **Hybrid Search** — Vector embeddings + BM25 keyword search
+- **Natural Language Q&A** — Query the graph using plain English
+
+## Setup (Required Secrets)
+
+Configure these in **Settings > Repository secrets**:
+
+| Secret | Description |
+|--------|-------------|
+| `TOGETHER_API_KEY` | Together AI API key |
+| `NEO4J_URI` | Neo4j connection URI (e.g., `neo4j+s://xxx.databases.neo4j.io`) |
+| `NEO4J_USERNAME` | Neo4j username (usually `neo4j`) |
+| `NEO4J_PASSWORD` | Neo4j password |
+| `NEO4J_DATABASE` | Neo4j database name (usually `neo4j`) |
+
+## Tech Stack
+
+- **LLM**: Together AI (DeepSeek-V3)
+- **Embeddings**: m2-bert-80M-8k-retrieval
+- **Graph DB**: Neo4j Aura
+- **Reranker**: ms-marco-MiniLM-L-6-v2
+- **UI**: Gradio

app.py

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+"""Project Intelligence Hub - Hugging Face Spaces Entry Point."""
+
+import os
+
+# Ensure environment variables are loaded from HF Secrets
+# Users set these in Settings > Repository secrets on HF Spaces
+
+from src.ui.gradio_app import GradioApp
+
+if __name__ == "__main__":
+    app = GradioApp()
+    app.launch(
+        server_name="0.0.0.0",
+        server_port=7860,
+        share=False,
+    )
+else:
+    # For Hugging Face Spaces - module-level app object
+    app = GradioApp()
+    demo = app.build()

requirements.txt

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+gradio==6.3.0
+python-dotenv==1.0.1
+pydantic==2.12.5
+neo4j==5.22.0
+pypdf==4.2.0
+together==1.3.14
+langchain==0.2.17
+langchain-core==0.2.43
+langchain-community==0.2.19
+langchain-experimental==0.0.60
+langchain-together==0.1.5
+langchain-text-splitters==0.2.4
+tiktoken==0.7.0
+sentence-transformers
+httpx>=0.24.1