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from fastapi import FastAPI, HTTPException, Request, Depends, Security
from fastapi.security import APIKeyHeader
from fastapi.responses import JSONResponse
from pydantic import BaseModel, Field
from typing import Optional
import uvicorn
import time
import os
from moderator import get_moderator
# Initialize FastAPI app
app = FastAPI(
title="Text Moderation API",
description="API for moderating user-generated text content",
version="1.0.0"
)
# ============================================================================
# API KEY AUTHENTICATION
# ============================================================================
# Get API key from environment variable (set in Hugging Face Space settings)
API_KEY = os.getenv("MODERATION_API_KEY", "your-default-secret-key-here")
API_KEY_NAME = "X-API-Key"
# API Key header dependency
api_key_header = APIKeyHeader(name=API_KEY_NAME, auto_error=True)
async def verify_api_key(api_key: str = Security(api_key_header)):
"""Verify the API key from request header"""
if api_key != API_KEY:
raise HTTPException(
status_code=403,
detail="Invalid API Key. Please provide a valid X-API-Key header."
)
return api_key
# ============================================================================
# REQUEST/RESPONSE MODELS
# ============================================================================
class ModerationRequest(BaseModel):
user_id: str = Field(..., description="User identifier")
text: str = Field(..., description="Text content to moderate")
class Config:
json_schema_extra = {
"example": {
"user_id": "user123",
"text": "I love this community!"
}
}
class ModerationResponse(BaseModel):
user_id: str
action: str = Field(..., description="Action: allow, flag, or delete")
reason: Optional[str] = Field(None, description="Reason for the action")
toxic_score: Optional[float] = Field(None, description="Toxicity score (0-1)")
hate_score: Optional[float] = Field(None, description="Hate speech score (0-1)")
processing_time_ms: Optional[float] = Field(None, description="Processing time in milliseconds")
# ============================================================================
# STARTUP
# ============================================================================
@app.on_event("startup")
async def startup_event():
print("Initializing moderator...")
get_moderator()
print("Moderator ready!")
print(f"API Key authentication enabled (key length: {len(API_KEY)} characters)")
# ============================================================================
# ENDPOINTS
# ============================================================================
@app.get("/")
async def root():
return {
"message": "Text Moderation API",
"authentication": "Required - X-API-Key header",
"endpoints": {
"/moderate": "POST - Moderate text content (Protected)",
"/health": "GET - Health check (Public)"
}
}
@app.get("/health")
async def health_check():
"""Public health check endpoint - No API key required"""
try:
moderator = get_moderator()
return {
"status": "healthy",
"models_loaded": moderator.toxic_model is not None and moderator.hate_model is not None,
"device": moderator.device,
"auth_enabled": True
}
except Exception as e:
return JSONResponse(
status_code=503,
content={"status": "unhealthy", "error": str(e)}
)
@app.post("/moderate", response_model=ModerationResponse)
async def moderate_text(
request: ModerationRequest,
api_key: str = Depends(verify_api_key) # Protected endpoint
):
"""
Moderate text content and return action recommendation (Protected - Requires API Key)
- **user_id**: Identifier for the user who posted the content
- **text**: The text content to moderate
- **X-API-Key**: API key in request header
"""
if not request.text or not request.text.strip():
raise HTTPException(status_code=400, detail="Text cannot be empty")
if len(request.text) > 2000:
raise HTTPException(status_code=400, detail="Text too long (max 2000 characters)")
try:
start_time = time.time()
moderator = get_moderator()
result = moderator.moderate(request.text)
processing_time = (time.time() - start_time) * 1000
return ModerationResponse(
user_id=request.user_id,
action=result["action"],
reason=result.get("reason"),
toxic_score=result.get("toxic_score"),
hate_score=result.get("hate_score"),
processing_time_ms=round(processing_time, 2)
)
except Exception as e:
raise HTTPException(status_code=500, detail=f"Moderation error: {str(e)}")
@app.post("/moderate/batch")
async def moderate_batch(
requests: list[ModerationRequest],
api_key: str = Depends(verify_api_key) # Protected endpoint
):
"""Moderate multiple texts in batch (Protected - Requires API Key)"""
if len(requests) > 100:
raise HTTPException(status_code=400, detail="Batch size too large (max 100)")
moderator = get_moderator()
responses = []
for req in requests:
try:
result = moderator.moderate(req.text)
responses.append({
"user_id": req.user_id,
"action": result["action"],
"reason": result.get("reason"),
"toxic_score": result.get("toxic_score"),
"hate_score": result.get("hate_score")
})
except Exception as e:
responses.append({
"user_id": req.user_id,
"action": "error",
"reason": str(e)
})
return {"results": responses}
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=7860) |