Update app.py

app.py

@@ -8,7 +8,7 @@ import gradio as gr
 import torch
 import torch.nn as nn
 import torch.optim as optim
-from torch.utils.data import DataLoader, TensorDataset, IterableDataset
+from torch.utils.data import DataLoader, IterableDataset
 from sklearn.ensemble import IsolationForest, RandomForestClassifier
 from sklearn.model_selection import train_test_split
 from sklearn.preprocessing import OneHotEncoder
@@ -181,8 +181,7 @@ def evolve_emotions():
     toolbox.register("individual", tools.initCycle, creator.Individual,
                      (toolbox.attr_float,) * (len(emotions) - 1) + 
                      (toolbox.attr_intensity,) * len(emotions) +
-                     (lambda: random.uniform(80, 120),),
-                     n=1)
+                     (lambda: 100,), n=1)
     toolbox.register("population", tools.initRepeat, list, toolbox.individual)
     toolbox.register("mate", tools.cxTwoPoint)
     toolbox.register("mutate", tools.mutGaussian, mu=0, sigma=1, indpb=0.2)
@@ -237,9 +236,9 @@ iface = gr.Interface(
     fn=process_input,
     inputs="text",
     outputs=[
-        gr.outputs.Textbox(label="Emotional Response"),
-        gr.outputs.Textbox(label="Sentiment Response"),
-        gr.outputs.Textbox(label="Generated Text")
+        gr.Textbox(label="Emotional Response"),
+        gr.Textbox(label="Sentiment Response"),
+        gr.Textbox(label="Generated Text")
     ],
     live=True
 )