Merge branch 'main' of https://github.com/trustdemons05/VoiceDifferentiator

app/api/routes.py

@@ -14,6 +14,7 @@ from pydantic import ValidationError
 
 from .schemas import (
     DetectRequest,
+    ExternalTesterRequest,
     DetectResponse,
     HealthResponse,
     ErrorResponse,
@@ -135,6 +136,69 @@ async def detect_voice(
                 pass
 
 
+@router.post(
+    "/detect-external",
+    response_model=DetectResponse,
+    summary="Detect AI-Generated Voice (External Tester Compatible)",
+    description="Alternative endpoint compatible with external testing tools"
+)
+async def detect_voice_external(
+    request: ExternalTesterRequest
+) -> DetectResponse:
+    """
+    Detect if the provided audio is AI-generated or human.
+    Compatible with external endpoint testers.
+    """
+    temp_path = None
+    
+    try:
+        # Convert external tester format to internal format
+        audio_bytes = base64.b64decode(request.Audio_Base64_Format)
+        
+        if len(audio_bytes) > 10 * 1024 * 1024:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail="Audio file too large. Maximum size is 10MB."
+            )
+        
+        if len(audio_bytes) < 1000:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail="Audio file too small. Minimum duration is 1 second."
+            )
+        
+        # Write audio to temporary file
+        with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as f:
+            f.write(audio_bytes)
+            temp_path = f.name
+        
+        # Get language from request
+        language = request.Language.lower()
+        
+        detector = get_detector(language=language)
+        
+        result = detector.detect(temp_path)
+        
+        result["language_detected"] = language
+        
+        return DetectResponse(**result)
+        
+    except HTTPException:
+        raise
+    except Exception as e:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Detection failed: {str(e)}"
+        )
+    finally:
+        # Cleanup temp file
+        if temp_path and os.path.exists(temp_path):
+            try:
+                os.unlink(temp_path)
+            except OSError:
+                pass
+
+
 @router.get(
     "/health",
     response_model=HealthResponse,

app/api/schemas.py

@@ -60,6 +60,29 @@ class DetectRequest(BaseModel):
         }
 
 
+class ExternalTesterRequest(BaseModel):
+    """Request schema compatible with external endpoint tester"""
+    Language: str = Field(
+        ...,
+        description="Language code (en, ta, hi, ml, te)",
+        examples=["en"]
+    )
+    Audio_Format: str = Field(
+        default="mp3",
+        description="Audio format (mp3, wav, etc.)",
+        alias="Audio Format"
+    )
+    Audio_Base64_Format: str = Field(
+        ...,
+        description="Base64-encoded audio data",
+        alias="Audio Base64 Format"
+    )
+    
+    class Config:
+        populate_by_name = True
+
+
+
 # ============== Response Schemas ==============
 
 class TechnicalDetails(BaseModel):