Spaces:
Runtime error
Runtime error
Update game3.py
Browse files
game3.py
CHANGED
@@ -40,9 +40,9 @@ def func3(num_selected, human_predict, num1, num2, user_important):
|
|
40 |
|
41 |
golden_label = (text['binary_label']^1) * 100
|
42 |
if golden_label == 0:
|
43 |
-
golden_label = 50 * (1 - text['binary_score'])
|
44 |
else:
|
45 |
-
golden_label = 50 * (1 + text['binary_score'])
|
46 |
# (START) off-the-shelf version -- slow at the beginning
|
47 |
# Load model directly
|
48 |
# Use a pipeline as a high-level helper
|
@@ -55,8 +55,10 @@ def func3(num_selected, human_predict, num1, num2, user_important):
|
|
55 |
|
56 |
# (END) off-the-shelf version
|
57 |
|
58 |
-
|
59 |
-
|
|
|
|
|
60 |
|
61 |
user_select = "You focused on "
|
62 |
flag_select = False
|
@@ -76,28 +78,20 @@ def func3(num_selected, human_predict, num1, num2, user_important):
|
|
76 |
# if not flag_select:
|
77 |
# user_select += "nothing. Interesting! "
|
78 |
user_select += "Wanna see how the AI made the guess? Click here. β¬
οΈ"
|
79 |
-
|
80 |
-
|
81 |
-
|
82 |
-
|
83 |
-
|
84 |
-
|
85 |
-
|
86 |
-
|
87 |
-
|
88 |
-
|
89 |
-
|
90 |
-
num2 += 1
|
91 |
else:
|
92 |
-
|
93 |
-
|
94 |
-
golden_label = int((golden_label + human_predict) / 2)
|
95 |
-
chatbot.append(("The correct answer is " + str(golden_label) + ". Great! π You are closer to the answer and better than AI!", user_select))
|
96 |
-
num1 += 1
|
97 |
-
else:
|
98 |
-
chatbot.append(("The correct answer is " + str(golden_label) + ". Both wrong... Maybe next time you'll win!", user_select))
|
99 |
-
else:
|
100 |
-
chatbot.append(("The correct answer is " + str(golden_label) + ". Sorry.. No one gets the correct answer. But nice try! π", user_select))
|
101 |
|
102 |
tot_scores = ''' ### <p style="text-align: center;"> Machine   ''' + str(int(num2)) + '''   VS   ''' + str(int(num1)) + '''   Human </p>'''
|
103 |
|
@@ -169,19 +163,16 @@ def func3_written(text_written, human_predict, lang_written):
|
|
169 |
out = output[0]
|
170 |
# (END) off-the-shelf version
|
171 |
|
|
|
|
|
|
|
|
|
172 |
|
173 |
-
|
174 |
-
ai_predict = out['score']
|
175 |
-
|
176 |
-
if abs(ai_predict - human_predict) <= 12.5:
|
177 |
chatbot.append(("AI gives it a close score! π", "β¬
οΈ Feel free to try another one! β¬
οΈ"))
|
178 |
else:
|
179 |
-
ai_predict += random.randint(-2, 2)
|
180 |
-
while ai_predict > 100 or ai_predict < 0 or ai_predict % 25 == 0:
|
181 |
-
ai_predict += random.randint(-2, 2)
|
182 |
chatbot.append(("AI thinks in a different way from human. π", "β¬
οΈ Feel free to try another one! β¬
οΈ"))
|
183 |
|
184 |
-
|
185 |
import shap
|
186 |
|
187 |
gender_classifier = pipeline("text-classification", model="padmajabfrl/Gender-Classification", return_all_scores=True)
|
|
|
40 |
|
41 |
golden_label = (text['binary_label']^1) * 100
|
42 |
if golden_label == 0:
|
43 |
+
golden_label = int(50 * (1 - text['binary_score']))
|
44 |
else:
|
45 |
+
golden_label = int(50 * (1 + text['binary_score']))
|
46 |
# (START) off-the-shelf version -- slow at the beginning
|
47 |
# Load model directly
|
48 |
# Use a pipeline as a high-level helper
|
|
|
55 |
|
56 |
# (END) off-the-shelf version
|
57 |
|
58 |
+
if out['label'] == 'Female':
|
59 |
+
ai_predict = int(out['score'])
|
60 |
+
else:
|
61 |
+
ai_predict = 1 - int(out['score'])
|
62 |
|
63 |
user_select = "You focused on "
|
64 |
flag_select = False
|
|
|
78 |
# if not flag_select:
|
79 |
# user_select += "nothing. Interesting! "
|
80 |
user_select += "Wanna see how the AI made the guess? Click here. β¬
οΈ"
|
81 |
+
|
82 |
+
|
83 |
+
if abs(golden_label - human_predict) <= 20 and abs(golden_label - ai_predict) <= 20:
|
84 |
+
chatbot.append(("The correct answer is " + str(golden_label) + ". Congratulations! π Both of you get the correct answer!", user_select))
|
85 |
+
num1 += 1
|
86 |
+
num2 += 1
|
87 |
+
elif abs(golden_label - human_predict) > 20 and abs(golden_label - ai_predict) > 20:
|
88 |
+
chatbot.append(("The correct answer is " + str(golden_label) + ". Sorry.. No one gets the correct answer. But nice try! π", user_select))
|
89 |
+
elif abs(golden_label - human_predict) <= 20 and abs(golden_label - ai_predict) > 20:
|
90 |
+
chatbot.append(("The correct answer is " + str(golden_label) + ". Great! π You are closer to the answer and better than AI!", user_select))
|
91 |
+
num1 += 1
|
|
|
92 |
else:
|
93 |
+
chatbot.append(("The correct answer is " + str(golden_label) + ". Sorry.. AI wins in this round.", user_select))
|
94 |
+
num2 += 1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
95 |
|
96 |
tot_scores = ''' ### <p style="text-align: center;"> Machine   ''' + str(int(num2)) + '''   VS   ''' + str(int(num1)) + '''   Human </p>'''
|
97 |
|
|
|
163 |
out = output[0]
|
164 |
# (END) off-the-shelf version
|
165 |
|
166 |
+
if out['label'] == 'Female':
|
167 |
+
ai_predict = int(out['score'])
|
168 |
+
else:
|
169 |
+
ai_predict = 1 - int(out['score'])
|
170 |
|
171 |
+
if abs(ai_predict - human_predict) <= 20:
|
|
|
|
|
|
|
172 |
chatbot.append(("AI gives it a close score! π", "β¬
οΈ Feel free to try another one! β¬
οΈ"))
|
173 |
else:
|
|
|
|
|
|
|
174 |
chatbot.append(("AI thinks in a different way from human. π", "β¬
οΈ Feel free to try another one! β¬
οΈ"))
|
175 |
|
|
|
176 |
import shap
|
177 |
|
178 |
gender_classifier = pipeline("text-classification", model="padmajabfrl/Gender-Classification", return_all_scores=True)
|