Update README.md

README.md

@@ -1,130 +1,129 @@
----
-title: GAIA Agent
-emoji: 🤖
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-sdk_version: "4.0.0"
-app_file: app.py
-pinned: false
----
-
-# 🤖 GAIA Agent
-
-A sophisticated AI agent designed to solve GAIA (General AI Assistants) benchmark questions using multiple tools and capabilities.
-
-## Overview
-
-This agent is built to tackle the GAIA benchmark, which tests AI systems on real-world tasks requiring reasoning, multi-modal understanding, web browsing, and tool usage. The agent combines multiple tools to provide accurate answers to complex questions.
-
-## Features
-
-The GAIA Agent has access to the following tools:
-
-- **Web Search** (DuckDuckGo): Search the web for latest information
-- **Code Interpreter**: Execute Python code for calculations and data processing
-- **Image Processing**: Analyze images from URLs
-- **Weather Information**: Get weather data for any location
-- **Hub Statistics**: Fetch model statistics from Hugging Face Hub
-
-## Architecture
-
-- **Framework**: smolagents
-- **Model**: OpenRouter API (meta-llama/llama-3.3-70b-instruct:free)
-- **Planning**: Enabled with interval of 3 steps
-- **Base Tools**: Additional base tools enabled
-
-## Project Structure
-
-```
-agent_hugging/
-├── agent.py              # Main agent implementation
-├── app.py                # Gradio interface for interaction
-├── code_interpreter.py   # Python code execution tool
-├── image_processing.py   # Image analysis tool
-├── tools.py              # Custom tools (search, weather, hub stats)
-├── system_prompt.txt     # System prompt for the agent
-├── requirements.txt      # Python dependencies
-└── README.md             # This file
-```
-
-## Setup
-
-1. **Install dependencies:**
-```bash
-pip install -r requirements.txt
-```
-
-2. **Set environment variables:**
-```bash
-export OPENROUTER_API_KEY="your-api-key-here"
-export HF_TOKEN="your-huggingface-token"  # Optional, for Hugging Face Hub operations
-export HF_USERNAME="ArdaKaratas"  # Optional, defaults to ArdaKaratas
-export HF_SPACE_NAME="agent_hugging"  # Optional, defaults to agent_hugging
-```
-
-Get a free API key from: https://openrouter.ai/keys
-Get your Hugging Face token from: https://huggingface.co/settings/tokens
-
-3. **Run the agent:**
-```bash
-python agent.py
-```
-
-4. **Launch the Gradio interface:**
-```bash
-python app.py
-```
-
-## Usage
-
-### Testing a Single Question
-
-Use the "Test Single Question" tab in the Gradio interface to:
-- Enter a question manually
-- Fetch a random question from the benchmark
-- Get the agent's answer
-
-### Submitting All Answers
-
-Use the "Submit All Answers" tab to:
-1. Enter your Hugging Face username
-2. Optionally provide your Space code link
-3. Click "Process & Submit All Questions"
-4. View the submission status and results
-
-### Viewing Questions
-
-Use the "View All Questions" tab to browse all GAIA benchmark questions.
-
-## API Integration
-
-The app connects to the scoring API at: `https://agents-course-unit4-scoring.hf.space`
-
-Endpoints:
-- `GET /questions`: Retrieve all questions
-- `GET /random-question`: Get a random question
-- `POST /submit`: Submit answers for scoring
-
-## Metadata.jsonl Support
-
-The project includes `metadata.jsonl` which contains GAIA benchmark questions and their correct answers. This file is used for:
-
-1. **Testing & Validation**: Compare agent answers with correct answers from metadata
-2. **Debugging**: See expected answers when testing the agent
-3. **Development**: Understand question patterns and expected answer formats
-
-**Note**: In production, the agent generates its own answers. The metadata is only used for comparison and validation purposes.
-
-## Notes
-
-- The agent returns answers directly without "FINAL ANSWER" prefix
-- Answers are compared using exact match
-- Make sure your Space is public for verification
-- The code interpreter has security restrictions to prevent dangerous operations
-- Use the "Compare with metadata.jsonl" checkbox in the test interface to see how your agent's answers compare to the correct answers
-
-## License
-
-This project is part of the Hugging Face AI Agents Course - Unit 4 Final Assignment.
-
+---
+title: GAIA Agent
+emoji: 🤖
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 6.0.2
+app_file: app.py
+pinned: false
+---
+
+# 🤖 GAIA Agent
+
+A sophisticated AI agent designed to solve GAIA (General AI Assistants) benchmark questions using multiple tools and capabilities.
+
+## Overview
+
+This agent is built to tackle the GAIA benchmark, which tests AI systems on real-world tasks requiring reasoning, multi-modal understanding, web browsing, and tool usage. The agent combines multiple tools to provide accurate answers to complex questions.
+
+## Features
+
+The GAIA Agent has access to the following tools:
+
+- **Web Search** (DuckDuckGo): Search the web for latest information
+- **Code Interpreter**: Execute Python code for calculations and data processing
+- **Image Processing**: Analyze images from URLs
+- **Weather Information**: Get weather data for any location
+- **Hub Statistics**: Fetch model statistics from Hugging Face Hub
+
+## Architecture
+
+- **Framework**: smolagents
+- **Model**: OpenRouter API (meta-llama/llama-3.3-70b-instruct:free)
+- **Planning**: Enabled with interval of 3 steps
+- **Base Tools**: Additional base tools enabled
+
+## Project Structure
+
+```
+agent_hugging/
+├── agent.py              # Main agent implementation
+├── app.py                # Gradio interface for interaction
+├── code_interpreter.py   # Python code execution tool
+├── image_processing.py   # Image analysis tool
+├── tools.py              # Custom tools (search, weather, hub stats)
+├── system_prompt.txt     # System prompt for the agent
+├── requirements.txt      # Python dependencies
+└── README.md             # This file
+```
+
+## Setup
+
+1. **Install dependencies:**
+```bash
+pip install -r requirements.txt
+```
+
+2. **Set environment variables:**
+```bash
+export OPENROUTER_API_KEY="your-api-key-here"
+export HF_TOKEN="your-huggingface-token"  # Optional, for Hugging Face Hub operations
+export HF_USERNAME="ArdaKaratas"  # Optional, defaults to ArdaKaratas
+export HF_SPACE_NAME="agent_hugging"  # Optional, defaults to agent_hugging
+```
+
+Get a free API key from: https://openrouter.ai/keys
+Get your Hugging Face token from: https://huggingface.co/settings/tokens
+
+3. **Run the agent:**
+```bash
+python agent.py
+```
+
+4. **Launch the Gradio interface:**
+```bash
+python app.py
+```
+
+## Usage
+
+### Testing a Single Question
+
+Use the "Test Single Question" tab in the Gradio interface to:
+- Enter a question manually
+- Fetch a random question from the benchmark
+- Get the agent's answer
+
+### Submitting All Answers
+
+Use the "Submit All Answers" tab to:
+1. Enter your Hugging Face username
+2. Optionally provide your Space code link
+3. Click "Process & Submit All Questions"
+4. View the submission status and results
+
+### Viewing Questions
+
+Use the "View All Questions" tab to browse all GAIA benchmark questions.
+
+## API Integration
+
+The app connects to the scoring API at: `https://agents-course-unit4-scoring.hf.space`
+
+Endpoints:
+- `GET /questions`: Retrieve all questions
+- `GET /random-question`: Get a random question
+- `POST /submit`: Submit answers for scoring
+
+## Metadata.jsonl Support
+
+The project includes `metadata.jsonl` which contains GAIA benchmark questions and their correct answers. This file is used for:
+
+1. **Testing & Validation**: Compare agent answers with correct answers from metadata
+2. **Debugging**: See expected answers when testing the agent
+3. **Development**: Understand question patterns and expected answer formats
+
+**Note**: In production, the agent generates its own answers. The metadata is only used for comparison and validation purposes.
+
+## Notes
+
+- The agent returns answers directly without "FINAL ANSWER" prefix
+- Answers are compared using exact match
+- Make sure your Space is public for verification
+- The code interpreter has security restrictions to prevent dangerous operations
+- Use the "Compare with metadata.jsonl" checkbox in the test interface to see how your agent's answers compare to the correct answers
+
+## License
+
+This project is part of the Hugging Face AI Agents Course - Unit 4 Final Assignment.