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feat(app): added scraper thanks to @leondz
Browse files- app.py +37 -24
- requirements.txt +1 -0
app.py
CHANGED
@@ -1,12 +1,14 @@
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import gradio as gr
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from datetime import date
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from avidtools.datamodels.report import Report
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from avidtools.datamodels.components import *
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from avidtools.datamodels.enums import *
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# def generate_report():
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def generate_report(classof,type,risk_domain,sep,lifecycle):
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# def generate_report(scraped_input, selections):
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report = Report()
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@@ -24,18 +26,18 @@ def generate_report(classof,type,risk_domain,sep,lifecycle):
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type = type,
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description = LangValue(
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lang = 'eng',
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value =
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)
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)
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report.references = [
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Reference(
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label =
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url =
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)
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]
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report.description = LangValue(
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lang = 'eng',
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value =
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)
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report.impact = Impact(
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avid = AvidTaxonomy(
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return report.dict()
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"
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demo = gr.Blocks(theme=gr.themes.Soft())
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# demo = gr.Blocks(theme='gradio/darkdefault')
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with demo:
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@@ -88,9 +94,10 @@ with demo:
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## Step 1: \n\
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Select a model and a method of detection.
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""")
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with gr.Box():
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title = gr.Markdown(
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description = gr.Markdown(
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with gr.Column(scale=3):
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gr.Markdown("""## Step 2: \
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@@ -112,9 +119,15 @@ with demo:
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report_button = gr.Button("Generate Report")
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report_json = gr.Json(label="AVID Report")
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report_button.click(
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fn=generate_report,
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inputs=[classof,type,risk_domain,sep,lifecycle],
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outputs=[report_json]
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)
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import gradio as gr
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import urllib.request
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from datetime import date
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from bs4 import BeautifulSoup
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from avidtools.datamodels.report import Report
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from avidtools.datamodels.components import *
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from avidtools.datamodels.enums import *
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# def generate_report():
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def generate_report(uri,title,abstract,classof,type,risk_domain,sep,lifecycle):
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# def generate_report(scraped_input, selections):
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report = Report()
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type = type,
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description = LangValue(
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lang = 'eng',
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value = title
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)
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report.references = [
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Reference(
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label = title,
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url = uri
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)
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]
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report.description = LangValue(
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lang = 'eng',
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value = abstract
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)
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report.impact = Impact(
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avid = AvidTaxonomy(
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return report.dict()
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# parses out title and abstract: works only on arxiv or acl
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def parse_uri(uri):
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if not uri.startswith("https://arxiv.org") and not uri.startswith("https://aclanthology.org"):
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raise gr.Error("Please supply an arxiv.org or aclanthology.org link!")
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try:
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response = urllib.request.urlopen(uri)
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html = response.read()
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doc = BeautifulSoup(html, features="lxml")
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except:
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raise gr.Error("Cannot fetch information. Please check the link!")
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if uri.startswith("https://arxiv.org"):
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title = doc.find("meta", property="og:title")["content"]
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abstract = doc.find("meta", property="og:description")["content"].replace("\n", "")
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else:
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title = doc.find("meta", property="og:title")["content"]
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abstract = doc.find("div", {"class": "card-body"}).text[8:].replace("\n", "")
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return f"### {title}\n", abstract
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demo = gr.Blocks(theme=gr.themes.Soft())
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with demo:
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## Step 1: \n\
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Select a model and a method of detection.
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""")
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input_uri = gr.Text("Enter URL")
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with gr.Box():
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title = gr.Markdown("### ")
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description = gr.Markdown("")
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with gr.Column(scale=3):
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gr.Markdown("""## Step 2: \
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report_button = gr.Button("Generate Report")
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report_json = gr.Json(label="AVID Report")
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input_uri.change(
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fn=parse_uri,
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inputs=[input_uri],
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outputs=[title,description]
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)
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report_button.click(
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fn=generate_report,
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inputs=[input_uri,title,description,classof,type,risk_domain,sep,lifecycle],
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outputs=[report_json]
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)
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requirements.txt
CHANGED
@@ -1,4 +1,5 @@
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gradio==3.35.2
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# for avidtools
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pydantic
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gradio==3.35.2
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bs4
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# for avidtools
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pydantic
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