Update app/server.py

app/server.py

@@ -82,7 +82,7 @@ async def analyze(request):
     img_bytes = await (data['avatar'].read())
     img = Image.open(BytesIO(img_bytes)).convert('RGB')
 
-    _, _, outputs = learn.predict(BytesIO(img_bytes))
+    _, _, outputs = learn.predict(img_bytes)
     values, indices = torch.topk(outputs,5)
     predictions = [{"class": classes[j], "output": round(i, 1), "prob": round(i*100,2)} for i, j in zip(values.tolist(), indices.tolist())]