Update README.md

README.md

@@ -17,16 +17,45 @@ tags:
   - Modal
 
 ---
+
 ## Demo Video
 🎥 Watch the [Demo Video here](https://drive.google.com/file/d/1FlvN_tV1BQ4OmFmGsWPSQt_H6Ok92dmy/view?usp=sharing)
 
 ## Acknowledgements
 Made with ❤️ by [Bhavish Pahwa](https://huggingface.co/bpHigh) & [Abhinav Bhatnagar](https://huggingface.co/Master-warrier)
 
+Here’s the refined **How It Works** section with the iterative back‑and‑forth and LlamaIndex MCP integration clearly outlined:
 
-## License
-This project is licensed under the MIT License – see the LICENSE file for details.
+## 🔧 How It Works
+
+### 1. **Gather Requirements**
+
+* 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])
+
+### 2. 🛠️ **Generate Plan** (button)
+
+* Clicking **Generate Plan** makes use of **LlamaIndex’s MCP integration**, which:
+
+  * 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**.
 
+### 3. 🚀 **Generate Code** (button)
 
+* 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**.
+
+### 4. ▶️ **Execute Code** (button)
+
+* 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.
+
+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.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/623f2f5828672458f74879b3/DELDAtNnCJbS63b1-Fml8.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/623f2f5828672458f74879b3/_xKyLcuJS42uBC2FqjeZP.png)
+
+## License
+This project is licensed under the MIT License – see the LICENSE file for details.
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference