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import gradio as gr
from gradio_log import Log
from pipeline import run
log_file = "out-file.txt"
def run():
import subprocess
import sys
with open("out-file.txt", "w") as f:
proc = subprocess.Popen(
[f"{sys.executable}", "pipeline.py", "burtenshaw/yoga_nistra"],
stdout=subprocess.PIPE,
)
content = ""
for line in proc.stdout:
content = content.split("\n")
content.append(line.decode("utf-8"))
content = content[-10:]
content = "\n".join(content)
yield content
import gradio as gr
from huggingface_hub import whoami
def hello(profile: gr.OAuthProfile | None) -> str:
if profile is None:
return "I don't know you."
return f"Hello {profile.name}"
def list_organizations(oauth_token: gr.OAuthToken | None) -> str:
if oauth_token is None:
return "Please log in to list organizations."
org_names = [org["name"] for org in whoami(oauth_token.token)["orgs"]]
return f"You belong to {', '.join(org_names)}."
with gr.Blocks() as demo:
gr.LoginButton()
m1 = gr.Markdown()
m2 = gr.Markdown()
demo.load(hello, inputs=None, outputs=m1)
demo.load(list_organizations, inputs=None, outputs=m2)
button = gr.Button("Run pipeline")
output = gr.Code(label="Terminal output", interactive=False)
button.click(run, outputs=output)
demo.launch()
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