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Suzen Fylke
commited on
Commit
•
be91caa
1
Parent(s):
ae967d5
Use gr.Error
Browse files
app.py
CHANGED
@@ -1,8 +1,8 @@
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import gradio as gr
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import lemminflect
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import spacy
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from transformers import pipeline
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import wikipedia
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nlp = spacy.load("en_core_web_lg")
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sentiment_analyzer = pipeline(
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@@ -23,30 +23,42 @@ def make_dystopian(term, text):
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doc = nlp(text)
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if is_positive(term):
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return "".join([make_past_tense(token) for token in doc])
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return doc.
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def get_summary(term):
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if not term:
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return ""
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try:
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results = wikipedia.search(term)
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except wikipedia.exceptions.DisambiguationError as e:
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-
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def launch_demo():
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title = "Dystopedia"
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description = (
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"Make any Wikipedia topic dystopian. Inspired by
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"Dystopedia uses [DistilBERT base uncased finetuned SST-2](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) "
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"for sentiment analysis and is subject to its limitations and biases."
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)
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examples = ["joy", "hope", "peace", "Earth", "water", "food"]
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gr.Interface(
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fn=
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inputs=gr.Textbox(label="term", placeholder="Enter a term...", max_lines=1),
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outputs=gr.Textbox(label="description"),
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title=title,
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@@ -54,6 +66,6 @@ def launch_demo():
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examples=examples,
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cache_examples=True,
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allow_flagging="never",
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).launch()
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launch_demo()
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import gradio as gr
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import lemminflect
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import spacy
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import wikipedia
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from transformers import pipeline
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nlp = spacy.load("en_core_web_lg")
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sentiment_analyzer = pipeline(
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doc = nlp(text)
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if is_positive(term):
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return "".join([make_past_tense(token) for token in doc])
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return doc.text
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def get_dystopian_summary(term):
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if term == "":
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return term
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try:
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results = wikipedia.search(term, results=1)
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except wikipedia.exceptions.DisambiguationError as e:
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raise gr.Error(e.error)
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if len(results) == 0:
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raise gr.Error(
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f'Could not find an article on the term "{term}". '
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'Try searching for a different topic.'
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)
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summary = wikipedia.summary(
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results[0],
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sentences=1,
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auto_suggest=False,
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redirect=True
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)
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return make_dystopian(term, summary)
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def launch_demo(**kwargs):
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title = "Dystopedia"
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description = (
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"Make any Wikipedia topic dystopian. Inspired by "
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"[this Tweet](https://twitter.com/lbcyber/status/1115015586243862528). "
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"Dystopedia uses [DistilBERT base uncased finetuned SST-2](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) "
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"for sentiment analysis and is subject to its limitations and biases."
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)
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examples = ["joy", "hope", "peace", "Earth", "water", "food"]
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gr.Interface(
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fn=get_dystopian_summary,
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inputs=gr.Textbox(label="term", placeholder="Enter a term...", max_lines=1),
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outputs=gr.Textbox(label="description"),
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title=title,
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examples=examples,
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cache_examples=True,
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allow_flagging="never",
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).launch(**kwargs)
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launch_demo(show_error=True)
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