latest fix

.env-example

@@ -31,4 +31,4 @@ MY_SECRET_TOKEN="SECRET_CODE_TOKEN"
 # LLM_TEMPERATURE=0.1
 
 # Maximum tokens for response
-# LLM_MAX_TOKENS=4096
+# LLM_MAX_TOKENS=4096

README.md

@@ -9,6 +9,22 @@ app_file: app.py
 pinned: false
 ---
 
+# Testing AI Contain
+
+This Hugging Face Space uses **Docker** to run a custom environment for AI content detection.
+
+## How to run locally
+---
+title: Testing AI Contain
+emoji: 🤖
+colorFrom: blue
+colorTo: green
+sdk: docker
+sdk_version: "latest"
+app_file: app.py
+pinned: false
+---
+
 # AI-Contain-Checker
 # AI-Content-Checker
 
@@ -124,6 +140,11 @@ AI-Checker/
 
 1. **Install dependencies**
 
+```bash
+docker build -t testing-ai-contain .
+docker run -p 7860:7860 testing-ai-contain
+
+```
    ```bash
    pip install -r requirements.txt
    ```

app.py

@@ -11,7 +11,6 @@ from features.nepali_text_classifier.routes import (
 )
 from features.image_classifier.routes import router as image_classifier_router
 from features.image_edit_detector.routes import router as image_edit_detector_router
-from features.rag_chatbot.routes import router as rag_router  
 from fastapi.staticfiles import StaticFiles
 
 from config import ACCESS_RATE
@@ -42,8 +41,6 @@ app.include_router(text_classifier_router, prefix="/text")
 app.include_router(nepali_text_classifier_router, prefix="/NP")
 app.include_router(image_classifier_router, prefix="/AI-image")
 app.include_router(image_edit_detector_router, prefix="/detect")
-app.include_router(rag_router, prefix="/rag") 
-
 
 
 @app.get("/")