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README.md

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 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+# 🤖 First Agent Project with smolagents
+
+An intelligent, code-backed AI agent capable of dynamic tool execution, reasoning, and multi-modal tasks (like text-to-image generation and timezone calculations). Built using the `smolagents` framework, powered by `Qwen2.5-Coder-32B-Instruct`, and deployed seamlessly on Hugging Face Spaces with a user-friendly Gradio interface.
+
+
+## 🚀 What This Project Is About
+
+This project demonstrates the implementation of a full **CodeAgent** using the `smolagents` library. Unlike traditional rigid chatbots, this agent operates on a **Thought-Action-Observation** cycle. When given a complex prompt, it writes execution blocks in Python, leverages specialized tools, evaluates the live feedback, and formulates an accurate final response.
+
+### Core Features
+*   **Dynamic Code Execution:** Solves problems by interpreting and running Python blocks on the fly.
+*   **Custom Tool Integration:** Extensible structure to add your own Python functions as agent tools.
+*   **Text-to-Image Generation:** Connects directly to Hugging Face Hub inference models to visualize user prompts.
+*   **Gradio Web UI:** A clean, shareable interface for interactive chatting and multi-modal outputs.
+
+
+
+## 🛠️ Tech Stack
+
+*   **Framework:** [smolagents](https://github.com/huggingface/smolagents) (Hugging Face)
+*   **LLM Engine:** `Qwen/Qwen2.5-Coder-32B-Instruct` (via Hugging Face Serverless Inference API)
+*   **UI Framework:** [Gradio](https://gradio.app/)
+*   **Language:** Python 3.10+
+*   **Libraries:** `pytz`, `pyyaml`, `requests`
+
+
+
+## 📁 Project Structure
+
+```text
+├── app.py                 # Main entry point: initializes the model, tools, and Gradio UI
+├── prompts.yaml           # System prompts and instruction templates for the agent
+├── requirements.txt       # Python dependencies
+├── Gradio_UI.py           # Helper script setting up the Gradio layout
+└── tools/
+    └── final_answer.py    # Core tool defining how the agent concludes its reasoning