Spaces:
Runtime error
Runtime error
Slider
Browse files
app.py
CHANGED
|
@@ -19,25 +19,25 @@ examples = [
|
|
| 19 |
Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?"""]
|
| 20 |
]
|
| 21 |
|
| 22 |
-
title = "Upword
|
| 23 |
-
description = "This demo compares [BART-Large-CNN](https://huggingface.co/facebook/bart-large-cnn) and [Flan-T5-XXL](https://huggingface.co/google/flan-t5-xxl)."
|
| 24 |
|
| 25 |
token = os.environ["token"]
|
| 26 |
|
| 27 |
urls = {
|
| 28 |
'flan-t5': os.environ["url"],
|
| 29 |
# 'flan-t5': "https://api-inference.huggingface.co/models/philschmid/flan-t5-xxl-sharded-fp16",
|
| 30 |
-
'bart-large-cnn': "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
|
|
|
|
| 31 |
}
|
| 32 |
|
| 33 |
|
| 34 |
-
def inference(text):
|
| 35 |
headers = {"Authorization": f"Bearer {token}"}
|
| 36 |
payload = {
|
| 37 |
"inputs": text,
|
| 38 |
"parameters": {
|
| 39 |
-
"min_length":
|
| 40 |
-
"max_length":
|
| 41 |
"do_sample": False
|
| 42 |
}
|
| 43 |
}
|
|
@@ -46,19 +46,24 @@ def inference(text):
|
|
| 46 |
responses[model] = requests.post(url, headers=headers, json=payload)
|
| 47 |
|
| 48 |
output_flan = responses['flan-t5'].json()[0]['generated_text']
|
| 49 |
-
|
| 50 |
-
|
|
|
|
| 51 |
|
| 52 |
|
| 53 |
io = gr.Interface(
|
| 54 |
inference,
|
| 55 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 56 |
outputs=[
|
| 57 |
gr.Textbox(lines=3, label="Flan T5-XXL"),
|
| 58 |
-
gr.Textbox(lines=3, label="BART-Large-CNN")
|
|
|
|
| 59 |
],
|
| 60 |
title=title,
|
| 61 |
-
description=description,
|
| 62 |
examples=examples
|
| 63 |
)
|
| 64 |
io.launch()
|
|
|
|
| 19 |
Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?"""]
|
| 20 |
]
|
| 21 |
|
| 22 |
+
title = "Upword. Model Playground"
|
|
|
|
| 23 |
|
| 24 |
token = os.environ["token"]
|
| 25 |
|
| 26 |
urls = {
|
| 27 |
'flan-t5': os.environ["url"],
|
| 28 |
# 'flan-t5': "https://api-inference.huggingface.co/models/philschmid/flan-t5-xxl-sharded-fp16",
|
| 29 |
+
'bart-large-cnn': "https://api-inference.huggingface.co/models/facebook/bart-large-cnn",
|
| 30 |
+
'pegasus': "https://api-inference.huggingface.co/models/google/pegasus-xsum"
|
| 31 |
}
|
| 32 |
|
| 33 |
|
| 34 |
+
def inference(text, min_length, max_length):
|
| 35 |
headers = {"Authorization": f"Bearer {token}"}
|
| 36 |
payload = {
|
| 37 |
"inputs": text,
|
| 38 |
"parameters": {
|
| 39 |
+
"min_length": min_length,
|
| 40 |
+
"max_length": max_length,
|
| 41 |
"do_sample": False
|
| 42 |
}
|
| 43 |
}
|
|
|
|
| 46 |
responses[model] = requests.post(url, headers=headers, json=payload)
|
| 47 |
|
| 48 |
output_flan = responses['flan-t5'].json()[0]['generated_text']
|
| 49 |
+
output_bart = responses['bart-large-cnn'].json()[0]['summary_text']
|
| 50 |
+
output_gpt = responses['pegasus'].json()[0]['summary_text']
|
| 51 |
+
return [output_flan, output_bart, output_gpt]
|
| 52 |
|
| 53 |
|
| 54 |
io = gr.Interface(
|
| 55 |
inference,
|
| 56 |
+
inputs=[
|
| 57 |
+
gr.Textbox(label='Input', lines=3),
|
| 58 |
+
gr.Slider(minimum=1, maximum=160, value=20, label="min_length"),
|
| 59 |
+
gr.Slider(minimum=1, maximum=160, value=80, label="max_length")
|
| 60 |
+
],
|
| 61 |
outputs=[
|
| 62 |
gr.Textbox(lines=3, label="Flan T5-XXL"),
|
| 63 |
+
gr.Textbox(lines=3, label="BART-Large-CNN"),
|
| 64 |
+
gr.Textbox(lines=3, label="Pegasus")
|
| 65 |
],
|
| 66 |
title=title,
|
|
|
|
| 67 |
examples=examples
|
| 68 |
)
|
| 69 |
io.launch()
|