Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -5,13 +5,12 @@ from datasets import load_dataset
|
|
5 |
from peft import PeftModel
|
6 |
import os
|
7 |
|
8 |
-
title = "
|
9 |
description = """
|
10 |
-
|
11 |
-
<img src="https://huggingface.co/spaces/course-demos/Rick_and_Morty_QA/resolve/main/rick.png" width=200px>
|
12 |
"""
|
13 |
|
14 |
-
article = "
|
15 |
|
16 |
model_id = "google/gemma-2b"
|
17 |
tokenizer = AutoTokenizer.from_pretrained(model_id, token=os.environ.get("HF_TOKEN"))
|
@@ -22,7 +21,7 @@ model = model.merge_and_unload()
|
|
22 |
|
23 |
|
24 |
dataset = load_dataset("allenai/sciq")
|
25 |
-
random_test_samples = dataset["test"].select(random.sample(range(0, len(dataset["test"])),
|
26 |
|
27 |
examples = []
|
28 |
for row in random_test_samples:
|
@@ -52,38 +51,36 @@ def predict(context, answer):
|
|
52 |
split_outputs[5],
|
53 |
)
|
54 |
|
55 |
-
return None
|
56 |
|
57 |
|
58 |
support_gr = gr.TextArea(
|
59 |
label="Context",
|
60 |
-
info="Make sure you use proper punctuation.",
|
61 |
value="Bananas are yellow and curved."
|
62 |
)
|
63 |
|
64 |
answer_gr = gr.Text(
|
65 |
-
label="Answer optional",
|
66 |
-
info="Make sure you use proper punctuation.",
|
67 |
value="yellow"
|
68 |
)
|
69 |
|
70 |
context_output_gr = gr.Text(
|
71 |
-
label="
|
72 |
)
|
73 |
answer_output_gr = gr.Text(
|
74 |
-
label="
|
75 |
)
|
76 |
question_output_gr = gr.Text(
|
77 |
-
label="
|
78 |
)
|
79 |
distractor1_output_gr = gr.Text(
|
80 |
-
label="
|
81 |
)
|
82 |
distractor2_output_gr = gr.Text(
|
83 |
-
label="
|
84 |
)
|
85 |
distractor3_output_gr = gr.Text(
|
86 |
-
label="
|
87 |
)
|
88 |
|
89 |
gr.Interface(
|
|
|
5 |
from peft import PeftModel
|
6 |
import os
|
7 |
|
8 |
+
title = "Gemma-2b SciQ"
|
9 |
description = """
|
10 |
+
Gemma-2b fine-tuned on SciQ
|
|
|
11 |
"""
|
12 |
|
13 |
+
article = "GitHub repository: <ur>"
|
14 |
|
15 |
model_id = "google/gemma-2b"
|
16 |
tokenizer = AutoTokenizer.from_pretrained(model_id, token=os.environ.get("HF_TOKEN"))
|
|
|
21 |
|
22 |
|
23 |
dataset = load_dataset("allenai/sciq")
|
24 |
+
random_test_samples = dataset["test"].select(random.sample(range(0, len(dataset["test"])), 10))
|
25 |
|
26 |
examples = []
|
27 |
for row in random_test_samples:
|
|
|
51 |
split_outputs[5],
|
52 |
)
|
53 |
|
54 |
+
return ("ERROR: " + decoded_outputs, None, None, None, None, None)
|
55 |
|
56 |
|
57 |
support_gr = gr.TextArea(
|
58 |
label="Context",
|
|
|
59 |
value="Bananas are yellow and curved."
|
60 |
)
|
61 |
|
62 |
answer_gr = gr.Text(
|
63 |
+
label="Answer (optional)",
|
|
|
64 |
value="yellow"
|
65 |
)
|
66 |
|
67 |
context_output_gr = gr.Text(
|
68 |
+
label="Context"
|
69 |
)
|
70 |
answer_output_gr = gr.Text(
|
71 |
+
label="Answer"
|
72 |
)
|
73 |
question_output_gr = gr.Text(
|
74 |
+
label="Question"
|
75 |
)
|
76 |
distractor1_output_gr = gr.Text(
|
77 |
+
label="Distractor 1"
|
78 |
)
|
79 |
distractor2_output_gr = gr.Text(
|
80 |
+
label="Distractor 2"
|
81 |
)
|
82 |
distractor3_output_gr = gr.Text(
|
83 |
+
label="Distractor 3"
|
84 |
)
|
85 |
|
86 |
gr.Interface(
|