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import gradio as gr | |
from gradio_client import Client as GrClient | |
import inspect | |
from gradio import routes | |
from typing import List, Type | |
gradio_client = GrClient("https://ldhldh-polyglot-ko-1-3b-peft-demo.hf.space/") | |
# Monkey patch | |
def get_types(cls_set: List[Type], component: str): | |
docset = [] | |
types = [] | |
if component == "input": | |
for cls in cls_set: | |
doc = inspect.getdoc(cls) | |
doc_lines = doc.split("\n") | |
docset.append(doc_lines[1].split(":")[-1]) | |
types.append(doc_lines[1].split(")")[0].split("(")[-1]) | |
else: | |
for cls in cls_set: | |
doc = inspect.getdoc(cls) | |
doc_lines = doc.split("\n") | |
docset.append(doc_lines[-1].split(":")[-1]) | |
types.append(doc_lines[-1].split(")")[0].split("(")[-1]) | |
return docset, types | |
routes.get_types = get_types | |
# App code | |
def mbti(x): | |
return 0 | |
def chat(x): | |
result = gradio_client.predict( | |
x,# str representing input in 'User input' Textbox component | |
0.9, # float, representing input in 'Top-p (nucleus sampling)' Slider component | |
50, # int, representing input in 'Top-k (nucleus sampling)' Slider component | |
0.7, # float, representing input in 'Temperature' Slider component | |
25, # int, representing input in 'Max New Tokens' Slider component | |
1.2, # float, representing input in 'repetition_penalty' Slider component | |
fn_index=0 | |
) | |
return result | |
def yn(x): | |
result = gradio_client.predict( | |
x, # str representing input in 'User input' Textbox component | |
fn_index=2 | |
) | |
return result | |
with gr.Blocks() as blk: | |
gr.Markdown("# Gradio Blocks (3.0) with REST API") | |
t = gr.Textbox() | |
c = gr.Button("mbti") | |
b = gr.Button("chat") | |
a = gr.Button("yn") | |
o = gr.Textbox() | |
c.click(mbti, inputs=[t], outputs=[o]) | |
b.click(chat, inputs=[t], outputs=[o]) | |
a.click(yn, inputs=[t], outputs=[o]) | |
gr.Markdown(""" | |
## API | |
Can select which function to use by passing in `fn_index`: | |
```python | |
import requests | |
requests.post( | |
url="https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/", json={"data": ["Jessie"], "fn_index": 0} | |
).json() | |
requests.post( | |
url="https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/", json={"data": ["Jessie"], "fn_index": 1} | |
).json() | |
``` | |
Or using cURL | |
``` | |
$ curl -X POST https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/ -H 'Content-Type: application/json' -d '{"data": ["Jessie"], "fn_index": 0}' | |
$ curl -X POST https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/ -H 'Content-Type: application/json' -d '{"data": ["Jessie"], "fn_index": 1}' | |
```""") | |
ifa = gr.Interface(lambda: None, inputs=[t], outputs=[o]) | |
blk.input_components = ifa.input_components | |
blk.output_components = ifa.output_components | |
blk.examples = None | |
blk.predict_durations = [] | |
bapp = blk.launch() |