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Update main.py
Browse files
main.py
CHANGED
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@@ -12,7 +12,7 @@ app = FastAPI(
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@app.on_event("startup")
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async def startup_event():
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#
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print("API is starting up...")
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API_KEY = "my_secret_key_123"
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@@ -25,34 +25,37 @@ async def verify_api_key(x_api_key: str = Header(...)):
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@app.post("/detect", response_model=DetectionResult)
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async def detect_voice(
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request: Request,
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# This line ensures the "Request body" box appears in your /docs test page
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payload: dict = Body(..., example={"audioBase64": "PASTE_BASE64_HERE"}),
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service: ModelService = Depends(get_model_service),
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api_key: str = Depends(verify_api_key)
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):
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try:
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# 1.
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body = await request.json()
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audio_b64 = None
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# Fallback: search for any long string value
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if not audio_b64:
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for v in body.values():
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if isinstance(v, str) and len(v) > 100:
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audio_b64 = v
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break
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if not audio_b64:
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raise HTTPException(status_code=422, detail="No audio data found.")
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# 2. Cleanup
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if "," in audio_b64:
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audio_b64 = audio_b64.split(",")[1]
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@@ -60,16 +63,13 @@ async def detect_voice(
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audio_bytes = base64.b64decode(audio_b64)
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except Exception as e:
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raise HTTPException(status_code=400, detail=f"Request parsing error: {str(e)}")
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try:
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# 4. AI Inference
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label, confidence = service.predict(audio_bytes)
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return DetectionResult(
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label=label,
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confidence=confidence,
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message="Analysis successful"
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)
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Model error: {str(e)}")
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@app.on_event("startup")
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async def startup_event():
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# Instant startup to prevent 504 Timeout
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print("API is starting up...")
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API_KEY = "my_secret_key_123"
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@app.post("/detect", response_model=DetectionResult)
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async def detect_voice(
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request: Request,
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payload: dict = Body(..., example={"audioBase64": "PASTE_BASE64_HERE"}),
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service: ModelService = Depends(get_model_service),
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api_key: str = Depends(verify_api_key)
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):
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try:
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# 1. Parse body manually to be flexible
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audio_b64 = None
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try:
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# Try JSON first
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body = await request.json()
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possible_keys = ["audioBase64", "audio_base_64", "audio", "data", "file"]
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for k in possible_keys:
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if k in body and body[k]:
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audio_b64 = body[k]
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break
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if not audio_b64:
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for v in body.values():
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if isinstance(v, str) and len(v) > 100:
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audio_b64 = v
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break
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except Exception:
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# FALLBACK: If not JSON, the body might be the raw Base64 string
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raw_body = await request.body()
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audio_b64 = raw_body.decode('utf-8')
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if not audio_b64 or len(str(audio_b64)) < 20:
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raise HTTPException(status_code=422, detail="No valid audio data found.")
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# 2. Cleanup whitespace or quotes from copy-pasting
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audio_b64 = str(audio_b64).strip().strip('"').strip("'")
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if "," in audio_b64:
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audio_b64 = audio_b64.split(",")[1]
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audio_bytes = base64.b64decode(audio_b64)
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except Exception as e:
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if isinstance(e, HTTPException): raise e
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raise HTTPException(status_code=400, detail=f"Request parsing error: {str(e)}")
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try:
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# 4. AI Inference
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label, confidence = service.predict(audio_bytes)
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return DetectionResult(label=label, confidence=confidence, message="Analysis successful")
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Model error: {str(e)}")
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