Update README.md

README.md

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----
-title: Beeline
-emoji: 💬
-colorFrom: yellow
-colorTo: purple
-sdk: gradio
-sdk_version: 5.0.1
-app_file: app.py
-pinned: false
-license: mit
-short_description: beeline tariflari
----
-
-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+# Knowledge Base Chatbot
+
+This is a chatbot that can answer questions based on your knowledge base. It uses FAISS for similarity search and the Together API for generating responses.
+
+## Features
+
+- Natural conversation with context awareness
+- Chat history preservation
+- Clean interface
+- Fast responses
+
+## Setup
+
+1. Create a Hugging Face Space
+2. Upload your FAISS index files
+3. Set your Together API key in the Space's secrets with the name `TOGETHER_API_KEY`
+4. The app will automatically deploy
+
+## Usage
+
+Simply type your questions in the chat interface and get responses based on the knowledge base.
+
+## Environment Variables
+
+- `TOGETHER_API_KEY`: Your Together API key (required)