| --- |
| title: Data Science Agent |
| emoji: 🐢 |
| colorFrom: green |
| colorTo: red |
| sdk: gradio |
| app_file: app.py |
| license: mit |
| sdk_version: 5.33.0 |
| short_description: Agent that solves your AI/ML/Data Science problems |
| pinned: true |
| tags: |
| - agent-demo-track |
| - Mistral |
| - LLamaIndex |
| - Sambanova |
| - Modal |
|
|
| --- |
| |
| ## Demo Video |
| 🎥 Watch the [Demo Video here](https://drive.google.com/file/d/1FlvN_tV1BQ4OmFmGsWPSQt_H6Ok92dmy/view?usp=sharing) |
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| More details: [Detailed Talk here](https://drive.google.com/file/d/1edHcyxhYKi6RV8MnCtTkbEf0UAhhhA3D/view?usp=sharing) |
| ## Acknowledgements |
| Made with ❤️ by [Bhavish Pahwa](https://huggingface.co/bpHigh) & [Abhinav Bhatnagar](https://huggingface.co/Master-warrier) |
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| Here’s the refined **How It Works** section with the iterative back‑and‑forth and LlamaIndex MCP integration clearly outlined: |
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| ## 🔧 How It Works |
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| ### 1. **Gather Requirements** |
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| * The user engages in a conversation with the chatbot, describing their data science / AI / ML problem. |
| * There’s an iterative back-and-forth between the user and **Gemini‑2.5‑Pro**—the model asks clarifying questions, the user responds, and this continues until Gemini‑2.5‑Pro is satisfied that requirements are complete. Only then does it issue a “satisfied” response and release the structured requirements. ([huggingface.co][1], [youtube.com][2]) |
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| ### 2. 🛠️ **Generate Plan** (button) |
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| * Clicking **Generate Plan** makes use of **LlamaIndex’s MCP integration**, which: |
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| * Discovers all available tools listed via MCP on the Hugging Face server (hf.co/mcp) ([medium.com][3]) |
| * Prompts **Gemini‑2.5‑Pro** again to select the appropriate tools and construct the plan workflows and call syntax. |
| * All logic for tool discovery, orchestration, and MCP communication is deployed as a **Modal app**. |
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| ### 3. 🚀 **Generate Code** (button) |
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| * When the user clicks **Generate Code**, the **Mistral DevStral** model (served via vLLM, OpenAI-compatible) generates runnable code matching the plan and selected tools. This model, and its integration, are hosted on **Modal Labs**. |
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| ### 4. ▶️ **Execute Code** (button) |
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| * The **Execute Code** button sends the generated script to a sandboxed environment in **Modal Labs**, where it’s securely run. Execution results and any outputs are then presented back to the user. |
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| This workflow flows user ↔ requirements collection ↔ tool planning ↔ code generation ↔ secure execution—with each step backed by powerful LLMs (Gemini‑2.5‑Pro, Mistral DevStral), LlamaIndex + MCP, and Modal Labs deployment. Samabanova models with Cline are used as devtools / copilots. |
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| ## License |
| This project is licensed under the MIT License – see the LICENSE file for details. |
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| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
