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README.md

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+---
+title: "First_agent_template"
+emoji: "🤖"
+colorFrom: "pink"
+colorTo: "yellow"
+sdk: "gradio"
+app_file: "app.py"
+license: "mit"
+short_description: "GAIA Unit 4 agent for the Hugging Face Agents Course."
+---
+
+# First Agent Template – GAIA Unit 4
+
+This Space contains my final project agent for the **Hugging Face Agents Course** (Unit 4 – GAIA benchmark).
+
+The goal of this Space is to:
+
+- Fetch a set of filtered **GAIA level-1 questions** from the course API  
+- Use a custom **agent** (`agent.py`) to answer each question  
+- Submit the answers to the `/submit` endpoint and obtain a **score**  
+- Reach **≥ 30% accuracy** to qualify for the course certificate
+
+---
+
+## Files
+
+- `app.py` – Gradio application that:
+  - calls `GET /questions`
+  - runs the agent on all questions
+  - sends the payload `{ username, agent_code, answers }` to `POST /submit`
+- `agent.py` – implementation of the agent (LLM + simple retrieval and reasoning)
+- `prompts.yaml` – prompt templates used by the agent
+- `requirements.txt` – Python dependencies for the Space
+- `tools/` – additional helper tools if needed
+
+---
+
+## How to use this Space
+
+1. Make sure the Space is **public**.
+2. Open the Space UI.
+3. Enter:
+   - your **Hugging Face username**
+   - the public link to your Space code  
+     e.g. `https://huggingface.co/spaces/akhilamacherla0987/First_agent_template/tree/main`
+4. Click **“Run agent & Submit”**.
+5. The API response will show your **score** and whether you reached the required 30%.
+
+---
+
+## Local development (optional)
+
+```bash
+pip install -r requirements.txt
+python app.py