Spaces:
Runtime error
Runtime error
Commit
•
f4ed31f
1
Parent(s):
a5b619b
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
|
3 |
+
from huggingface_hub import HfApi, hf_hub_download
|
4 |
+
from transformers import model
|
5 |
+
|
6 |
+
def get_model_ids():
|
7 |
+
api = HfApi()
|
8 |
+
models = api.list_models(filter="llama-leaderboard")
|
9 |
+
model_ids = [x.modelId for x in models]
|
10 |
+
return model_ids
|
11 |
+
|
12 |
+
models = {}
|
13 |
+
for model_id in get_model_ids():
|
14 |
+
models[model_id] = pipeline("image-classification", model=model_id)
|
15 |
+
|
16 |
+
def predict(img, model_id):
|
17 |
+
return models[model_id](img)
|
18 |
+
|
19 |
+
gr.Interface(
|
20 |
+
fn=predict,
|
21 |
+
inputs=[
|
22 |
+
gr.inputs.Image(type="pil"),
|
23 |
+
gradio.inputs.Dropdown(get_model_ids())
|
24 |
+
]
|
25 |
+
outputs=gr.outputs.Label(num_top_classes=3),
|
26 |
+
examples=["llama.jpg", "potato.jpg"]
|
27 |
+
).launch()
|