Update README.md

README.md

@@ -1,13 +1,39 @@
 ---
-title: Data Analysis Agent
-emoji: 🏢
+title: Gemini Data Analysis Agent
+emoji: 🤖📈
 colorFrom: blue
-colorTo: red
-sdk: gradio
-sdk_version: 5.49.1
+colorTo: indigo
+sdk: streamlit
 app_file: app.py
-pinned: false
 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🤖 Gemini Data Analysis Agent
+
+This is a simple Streamlit application that uses the Google Gemini API and LangChain to create an AI agent.
+
+You can upload any CSV file, and the agent will use a Gemini model to write and execute Python (Pandas) code to answer your questions about the data.
+
+## 🚀 How to Use
+
+1.  **Upload a CSV file** using the file uploader.
+2.  The app will display the first few rows of your data.
+3.  **Ask a question** in the text box (e.g., "How many rows are there?" or "What is the average value in the 'sales' column?").
+4.  The agent will analyze the data and provide a plain-English answer.
+
+## 🛠️ Tech Stack
+
+* **LLM (Brain):** Google Gemini (via `langchain-google-genai`)
+* **Agent Framework:** LangChain (specifically `create_pandas_dataframe_agent`)
+* **Frontend (UI):** Streamlit
+* **Hosting:** Hugging Face Spaces
+
+## 🔑 Setup
+
+This app requires a Google Gemini API key to function.
+
+1.  Create a [Google AI Studio API key](https://aistudio.google.com/).
+2.  In your Hugging Face Space **Settings**, go to **Repository secrets**.
+3.  Add a new secret:
+    * **Name:** `GEMINI_API_KEY`
+    * **Value:** (Paste your API key)