goldfishsoftwarelabs commited on
Commit
e524d3c
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verified ·
1 Parent(s): d0b778d

Update main.py

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Files changed (1) hide show
  1. main.py +21 -8
main.py CHANGED
@@ -6,8 +6,8 @@ import random
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  app = FastAPI()
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- @app.post("/analyze-image/")
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- async def analyze_image(file: UploadFile = File(...)):
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  # Validate file type
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  if not file.content_type.startswith("image/"):
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  raise HTTPException(status_code=400, detail="File must be an image")
@@ -17,22 +17,35 @@ async def analyze_image(file: UploadFile = File(...)):
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  contents = await file.read()
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  image = Image.open(io.BytesIO(contents))
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- # Mock image analysis
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  mock_results = {
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  "image_size": image.size,
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  "format": image.format,
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- "mock_confidence": round(random.uniform(0.7, 0.99), 2),
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- "mock_classification": random.choice(["positive", "negative", "neutral"]),
 
 
 
 
 
 
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  "mock_details": {
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- "object_detected": random.choice(["cat", "dog", "car", "tree", "none"]),
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- "processing_time_ms": random.randint(100, 500)
 
 
 
 
 
 
 
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  }
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  }
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  return JSONResponse(content={
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  "status": "success",
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  "results": mock_results,
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- "message": "Image processed successfully"
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  })
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  except Exception as e:
 
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  app = FastAPI()
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+ @app.post("/analyze-medical-image/")
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+ async def analyze_medical_image(file: UploadFile = File(...)):
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  # Validate file type
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  if not file.content_type.startswith("image/"):
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  raise HTTPException(status_code=400, detail="File must be an image")
 
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  contents = await file.read()
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  image = Image.open(io.BytesIO(contents))
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+ # Mock medical image analysis
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  mock_results = {
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  "image_size": image.size,
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  "format": image.format,
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+ "mock_diagnosis": random.choice([
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+ "Normal",
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+ "Pneumonia",
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+ "Fracture",
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+ "Tumor",
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+ "Inflammation"
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+ ]),
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+ "mock_confidence": round(random.uniform(0.65, 0.95), 2),
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  "mock_details": {
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+ "region_of_interest": random.choice(["Lung", "Bone", "Brain", "Liver", "None"]),
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+ "severity": random.choice(["Mild", "Moderate", "Severe"]),
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+ "processing_time_ms": random.randint(200, 600),
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+ "recommendation": random.choice([
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+ "Further testing required",
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+ "Consult specialist",
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+ "Monitor condition",
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+ "Immediate treatment advised"
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+ ])
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  }
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  }
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  return JSONResponse(content={
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  "status": "success",
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  "results": mock_results,
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+ "message": "Medical image processed successfully"
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  })
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  except Exception as e: