app.py
CHANGED
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@@ -29,11 +29,11 @@ Format your response as a JSON object with \
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| 29 |
Text sample: '''{input}'''
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"""
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response = get_completion(prompt)
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-
return
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| 33 |
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#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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#iface.launch()
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#iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Text to find entities", lines=2)], outputs=[gr.HighlightedText(label="Text with entities")], title="NER with dslim/bert-base-NER", description="Find entities using the `dslim/bert-base-NER` model under the hood!", allow_flagging="never", examples=["My name is Andrew and I live in California", "My name is Poli and work at HuggingFace"])
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| 38 |
-
iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Elevator pitch", lines=3)], outputs="
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| 39 |
iface.launch()
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| 29 |
Text sample: '''{input}'''
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"""
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response = get_completion(prompt)
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| 32 |
+
return response
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| 33 |
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| 34 |
#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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#iface.launch()
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| 37 |
#iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Text to find entities", lines=2)], outputs=[gr.HighlightedText(label="Text with entities")], title="NER with dslim/bert-base-NER", description="Find entities using the `dslim/bert-base-NER` model under the hood!", allow_flagging="never", examples=["My name is Andrew and I live in California", "My name is Poli and work at HuggingFace"])
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| 38 |
+
iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Elevator pitch", lines=3)], outputs="json")
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| 39 |
iface.launch()
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