Now Live

Procfile

@@ -1 +1,2 @@
+
 web: uvicorn app:app --host 0.0.0.0 --port $PORT

README.md

@@ -8,18 +8,19 @@ app_file: Dockerfile
 pinned: false
 ---
 
+# Detection and Plagiarism Check API 🕵️‍♂️
 
+This API uses advanced AI models to evaluate essays for:
 
-# Essay Grader API
+- **AI Content Detection**: Identifies if the content was written by an AI.
+- **Internal Plagiarism Detection**: Detects repetitive patterns and similarities within the text.
 
-This API uses advanced AI models to evaluate essays for:
-- AI-generated content detection (identifies if content was written by AI)
-- Internal plagiarism detection (identifies repetitive patterns within the text)
+---
 
 ## Endpoints
 
-### `GET /health`
-Checks the API health status and model loading state.
+###  `GET /health`
+Check the API health and model loading status.
 
 **Response:**
 ```json
@@ -28,70 +29,68 @@ Checks the API health status and model loading state.
   "hub_accessible": true,
   "pdf_processing": true
 }
-```
 
-### `POST /analyze`
+
+📄 POST /analyze
 Upload a PDF essay for comprehensive analysis.
 
-**Request:**
-- Content-Type: multipart/form-data
-- Body: file (PDF document)
+Request:
 
-**Response:**
-```json
-{
-  "ai_content_detection": {
-    "label": "Human-written",
-    "confidence": 92.5
-  },
-  "internal_plagiarism_score": 18.3,
-  "max_similarity_between_chunks": 45.2,
-  "chunks_analyzed": 12
-}
-```
+Content-Type: multipart/form-data
 
-# Narrowed Response
+Body: file (PDF document)
 
 **Response:**
-```json
+
 {
-  "ai_content_detection": {
-    "confidence": 92.5
+  "analysis": {
+    "ai_detection": {
+      "human_written": 47.22,
+      "ai_generated": 52.78
+    },
+    "plagiarism_score": 0
   },
-  "internal_plagiarism_score": 18.3,
+  "status": "success"
 }
-```
+
+
+
 
 ## Usage Examples
 
 ### Using cURL:
-```bash
+
 curl -X 'POST' \
-  'https://yourusername-essay-grader-api.hf.space/analyze' \
+  'https://essay-grader-detection-and-plagiarism-check.hf.space/analyze' \
   -H 'accept: application/json' \
   -H 'Content-Type: multipart/form-data' \
   -F 'file=@your_essay.pdf'
-```
 
 ### Using Python Requests:
-```python
+
 import requests
 
-url = "https://yourusername-essay-grader-api.hf.space/analyze"
+url = "https://essay-grader-detection-and-plagiarism-check.hf.space/analyze"
 files = {"file": open("your_essay.pdf", "rb")}
 
 response = requests.post(url, files=files)
 result = response.json()
 print(result)
-```
 
-## Technical Details
 
-This API uses:
-- RoBERTa-based models for AI content detection
-- Sentence transformers for semantic analysis
-- PyPDF2 for PDF text extraction
+### Technical Stack
+
+AI Content Detection: RoBERTa-based custom fine-tuned model.
+
+Internal Plagiarism Detection: SentenceTransformers (semantic similarity analysis).
+
+PDF Text Extraction: PyPDF2.
+
+Framework: FastAPI.
+
+Deployment: Docker + Hugging Face Spaces. 
+
 
-The application is built with FastAPI and deployed on Hugging Face Spaces. 
+Credits:
 
-```Created by: Christian Mpambira(BED-COM-22-20)```
+Created by: Christian Mpambira (BED-COM-22-20)

app.py

@@ -1,4 +1,5 @@
 # app.py: AI Detection and Plagiarism Check API
+
 from fastapi import FastAPI, UploadFile, File, HTTPException, BackgroundTasks
 from fastapi.responses import JSONResponse
 from sentence_transformers import SentenceTransformer
@@ -27,7 +28,7 @@ app = FastAPI(
     description="API for AI Content Detection and Plagiarism Checking",
     version="1.0.0",
     docs_url="/docs",
-    redoc_url=None
+    redoc_url="/redoc"
 )
 
 # Configuration Constants
@@ -250,9 +251,9 @@ async def health_check() -> Dict[str, Any]:
 
 @app.get("/")
 async def root():
-    """Root endpoint"""
     return {
+        """Root endpoint"""
         "service": "Essay Analysis API",
         "version": "1.0.0",
         "endpoints": ["/analyze", "/health", "/reload-models"]
-    }
+    }

verify_model.py

@@ -1,3 +1,4 @@
+#Verify_model.py
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
 model = AutoModelForSequenceClassification.from_pretrained(

yaml

@@ -1,4 +1,4 @@
-# Readme metadata in your Space
+# Readme metadata file
 ---
 title: Essay Grader
 emoji: 🔍