Spaces:
Runtime error
Runtime error
fix: Add alternative error handling and queueing
Browse files- app.py +8 -3
- util/summarizer.py +29 -29
app.py
CHANGED
@@ -1,7 +1,11 @@
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import gradio as gr
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from util import summarizer, textproc
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from util.examples import entries
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-
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model_collection = summarizer.init_models()
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patent_summarizer = summarizer.PatentSummarizer(model_collection)
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iface = gr.Interface(
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@@ -66,7 +70,8 @@ iface = gr.Interface(
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https://arxiv.org/abs/1910.13461, https://huggingface.co/sshleifer/distilbart-cnn-6-6
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π€ PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
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https://arxiv.org/abs/1912.08777 , https://huggingface.co/google/pegasus-xsum
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"""
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)
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iface.launch()
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import gradio as gr
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from util import summarizer, textproc
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from util.examples import entries
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import importlib
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importlib.reload(summarizer)
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importlib.reload(textproc)
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model_collection = summarizer.init_models()
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patent_summarizer = summarizer.PatentSummarizer(model_collection)
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iface = gr.Interface(
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https://arxiv.org/abs/1910.13461, https://huggingface.co/sshleifer/distilbart-cnn-6-6
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π€ PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
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https://arxiv.org/abs/1912.08777 , https://huggingface.co/google/pegasus-xsum
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""",
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)
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iface.launch(enable_queue=True)
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util/summarizer.py
CHANGED
@@ -26,7 +26,7 @@ class PatentSummarizer():
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parsed_info = textproc.retrieve_parsed_doc(patent_information,
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summaries_generated)
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if parsed_info is None:
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return ["[ERROR] Invalid
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abstract, background, claims = parsed_info
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summaries = list()
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@@ -35,46 +35,46 @@ class PatentSummarizer():
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if "Abstract" in summaries_generated and abstract is not None:
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abstract = abstract[0: textproc.get_word_index(abstract, word_limit)]
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summaries.append(abstract_summary)
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else:
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summaries.append(None)
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summaries.append(None)
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print(f'[ERROR] {e}')
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try:
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if "Background" in summaries_generated and background is not None:
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background = background[0: textproc.get_word_index(background, word_limit)]
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summaries.append(background_summary)
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else:
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summaries.append(None)
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summaries.append(None)
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print(f'[ERROR] {e}')
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try:
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if "Claims" in summaries_generated and claims is not None:
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summaries.append(claims_summary)
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else:
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summaries.append(None)
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except Exception as e:
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summaries.append(None)
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print(f'[ERROR] {e}')
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return summaries
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parsed_info = textproc.retrieve_parsed_doc(patent_information,
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summaries_generated)
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if parsed_info is None:
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return ["[ERROR] Invalid patent information or timeout from scraping.", None, None]
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abstract, background, claims = parsed_info
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summaries = list()
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if "Abstract" in summaries_generated and abstract is not None:
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abstract = abstract[0: textproc.get_word_index(abstract, word_limit)]
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try:
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abstract_summary = self.model[abstract_model](abstract)
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abstract_summary = textproc.post_process(abstract_summary)
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except:
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abstract_summary = None
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summaries.append(abstract_summary)
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else:
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summaries.append(None)
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if "Background" in summaries_generated and background is not None:
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background = background[0: textproc.get_word_index(background, word_limit)]
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try:
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background_summary = self.model[background_model](background)
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background_summary = textproc.post_process(background_summary)
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except:
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background_summary = None
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summaries.append(background_summary)
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else:
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summaries.append(None)
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if "Claims" in summaries_generated and claims is not None:
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try:
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if collate_claims:
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claims = ' '.join(claims)
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print(len(claims))
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claims = claims[0: textproc.get_word_index(claims, word_limit)]
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print(len(claims))
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claims_summary = self.model[claims_model](claims)
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else:
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claims_summary = ''
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for claim in claims:
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claims_summary += self.model[claims_model](claim)
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claims_summary = textproc.post_process(claims_summary)
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except:
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claims_summary = None
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summaries.append(claims_summary)
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else:
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summaries.append(None)
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return summaries
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except Exception as e:
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return [f'[ERROR] {e}'] + [None]*(len(summaries_generated) - 1)
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