update readme

replicate_predictor.py

@@ -1,3 +1,4 @@
+
 from min_dalle import MinDalle
 import tempfile
 import torch, torch.backends.cudnn
@@ -22,13 +23,10 @@ class ReplicatePredictor(BasePredictor):
         progressive_outputs: bool = Input(default=True),
         seamless: bool = Input(default=False),
         grid_size: int = Input(ge=1, le=9, default=5),
-        temperature: str = Input(
-            choices=(
-                ['1/{}'.format(2 ** i) for i in range(4, 0, -1)] +
-                [str(2 ** i) for i in range(5)]
-            ),
-            default='4',
-            description='Advanced Setting, see Readme below if interested.'
+        temperature: float = Input(
+            ge=0.01,
+            le=16,
+            default=4
         ),
         top_k: int = Input(
             choices=[2 ** i for i in range(15)], 
@@ -46,8 +44,8 @@ class ReplicatePredictor(BasePredictor):
             seed = -1,
             grid_size = grid_size,
             progressive_outputs = progressive_outputs,
-            is_seamless=seamless,
-            temperature = eval(temperature),
+            is_seamless = seamless,
+            temperature = temperature,
             supercondition_factor = float(supercondition_factor),
             top_k = top_k,
             is_verbose = True