Update README.md

README.md

@@ -1,24 +0,0 @@
-# GAIA Benchmark Agent with LangGraph
-
-This project implements an agent using the LangGraph framework to solve the GAIA benchmark tasks provided by the Hugging Face Agents Course (Unit 4).
-
-✅ Uses LangChain + LangGraph  
-✅ Handles 20 benchmark questions  
-✅ Submits answers for scoring via Hugging Face leaderboard
-
-## How to run
-
-1. Clone this repo and push it as a Hugging Face Space (public).
-2. Install the dependencies.
-3. Launch the Space and log in to Hugging Face.
-4. Click "Run Evaluation & Submit All Answers" to evaluate your agent.
-
-## Project files
-
-- `main.py` — Gradio app runner
-- `graph_builder.py` — Builds the LangGraph pipeline
-- `llm_node.py` — Defines LLM node logic
-- `formatter_node.py` — Cleans up answers for exact-match submission
-- `api_client.py` — Wraps GAIA API interactions
-
-Good luck!