Update README.md

README.md

@@ -1,105 +1,19 @@
-# AI Text Detector — FastAPI App Documentation
 
-## About
-This FastAPI application predicts whether a given text is AI-generated or human-written based on a GPT-2 model.  
-It measures the perplexity of the input text to make the decision.
 
-You can access the live version here:  
-**[Public App Link](https://can-org-canspace.hf.space)**
 
----
-
-## API Endpoints
-
-### `GET /`
-- **Description**: Welcome route showing basic API information.
-- **Response**:
-  ```json
-  {
-    "message": "FastAPI API is up.",
-    "try": "/docs to test the API.",
-    "status": "OK"
-  }
-  ```
-
-### `GET /health`
-- **Description**: Health check to verify if the server is running.
-- **Response**:
-  ```json
-  {
-    "status": "ok"
-  }
-  ```
-
-### `POST /analyze`
-- **Description**: Analyze input text to determine if it is AI-generated or human-written.
-- **Authorization**: Requires Bearer Token.
-- **Request Body**:
-  ```json
-  {
-    "text": "Enter your text here"
-  }
-  ```
-- **Response**:
-  ```json
-  {
-    "result": "AI-generated" | "Probably AI-generated" | "Human-written",
-    "perplexity": 47.35
-  }
-  ```
-- **Important**:
-  - Input text must contain at least two words.
-  - Without a valid token, this endpoint will not work.
 
 ---
+title: Canspace
+emoji: 🐨
+colorFrom: red
+colorTo: purple
+sdk: docker
+pinned: false
 
-## Authorization Guide
-- Open `/docs` (Swagger UI).
-- Click the "Authorize" button at the top right.
-- Paste your Bearer Token into the Authorization field.
-- After authorization, you can use the `/analyze` endpoint.
-
-Example Authorization header:
-```
-Authorization: Bearer YOUR_SECRET_TOKEN
-```
 
----
 
-## How the AI Detection Works
-- The app loads a fine-tuned GPT-2 model at startup.
-- It calculates the perplexity of the input text:
-  - Perplexity less than 60 → AI-generated
-  - Perplexity between 60 and 80 → Probably AI-generated
-  - Perplexity greater than 80 → Human-written
-
-Higher perplexity indicates the text is harder for the model to predict, usually meaning it is human-written.
 
 ---
 
-## How to Run Locally
-1. Clone the repository:
-   ```bash
-   git clone https://huggingface.co/spaces/can-org/canspace
-   cd canspace
-   ```
-
-2. Install dependencies:
-   ```bash
-   pip install -r requirements.txt
-   ```
-
-3. Start the server:
-   ```bash
-   uvicorn app:app --reload
-   ```
-
-4. Open the API docs at:  
-   [http://localhost:8000/docs](http://localhost:8000/docs)
-
-
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
-## Quick Reminders
-- Always authorize first in `/docs` before using `/analyze`.
-- Text input must contain more than two words.
-- Public live app is available at: [https://can-org-canspace.hf.space](https://can-org-canspace.hf.space)