Spaces:
Sleeping
Sleeping
Merge branch 'main' of https://huggingface.co/spaces/postbot/autocomplete-emails
Browse files
app.py
CHANGED
@@ -23,6 +23,7 @@ def generate_text(
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# perma params (not set by user)
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repetition_penalty=3.5,
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abs_max_length=512,
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verbose=False,
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):
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"""
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@@ -55,6 +56,7 @@ def generate_text(
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max_length=gen_length + input_len,
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min_length=input_len + 4,
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num_beams=num_beams,
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repetition_penalty=repetition_penalty,
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no_repeat_ngram_size=no_repeat_ngram_size,
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length_penalty=length_penalty,
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@@ -70,7 +72,8 @@ def generate_text(
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formatted_email = postprocess(response)
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return make_mailto_form(body=formatted_email)
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-
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"""
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load_emailgen_model - load a text generation pipeline for email generation
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@@ -87,6 +90,7 @@ def load_emailgen_model(model_tag:str):
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device=0 if use_gpu else -1,
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)
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def get_parser():
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"""
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get_parser - a helper function for the argparse module
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@@ -111,6 +115,21 @@ def get_parser():
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action="store_true",
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help="Verbose output",
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)
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return parser
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@@ -119,7 +138,11 @@ Hello,
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Following up on last week's bubblegum shipment, I"""
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available_models = [
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if __name__ == "__main__":
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logging.info("\n\n\nStarting new instance of app.py")
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@@ -189,16 +212,18 @@ if __name__ == "__main__":
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value=model_tag,
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)
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load_model_button = gr.Button(
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-
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variant=
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)
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with gr.Row():
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num_beams = gr.Radio(
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-
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no_repeat_ngram_size = gr.Radio(
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choices=[1, 2, 3, 4],
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label="no repeat ngram size",
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# perma params (not set by user)
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repetition_penalty=3.5,
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abs_max_length=512,
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+
num_beam_groups=2,
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verbose=False,
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):
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"""
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max_length=gen_length + input_len,
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min_length=input_len + 4,
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num_beams=num_beams,
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num_beam_groups=num_beam_groups,
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repetition_penalty=repetition_penalty,
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no_repeat_ngram_size=no_repeat_ngram_size,
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length_penalty=length_penalty,
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formatted_email = postprocess(response)
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return make_mailto_form(body=formatted_email)
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+
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def load_emailgen_model(model_tag: str):
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"""
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load_emailgen_model - load a text generation pipeline for email generation
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device=0 if use_gpu else -1,
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)
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+
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def get_parser():
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"""
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get_parser - a helper function for the argparse module
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action="store_true",
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help="Verbose output",
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)
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parser.add_argument(
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"-nb",
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"--num_beams",
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type=int,
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default=4,
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help="Number of beams for beam search. 1 means no beam search.",
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)
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parser.add_argument(
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"--num_beam_groups",
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type=int,
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default=2,
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help="Number of groups to divide nbest candidates into in order to ensure diversity among different groups of beams that yield the best n results. 1 means no group beam search.",
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)
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return parser
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Following up on last week's bubblegum shipment, I"""
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available_models = [
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"postbot/distilgpt2-emailgen-V2",
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"postbot/distilgpt2-emailgen",
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"postbot/gpt2-medium-emailgen",
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]
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if __name__ == "__main__":
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logging.info("\n\n\nStarting new instance of app.py")
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value=model_tag,
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)
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load_model_button = gr.Button(
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"Load Model",
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variant="secondary",
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)
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with gr.Row():
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num_beams = gr.Radio(
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choices=[4, 8, 12, 16],
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label="Number of Beams",
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value=4,
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)
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with gr.Row():
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no_repeat_ngram_size = gr.Radio(
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choices=[1, 2, 3, 4],
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label="no repeat ngram size",
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utils.py
CHANGED
@@ -4,6 +4,7 @@
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import logging
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import re
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def postprocess(text: str):
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"""
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postprocess - remove common values in scraped dataset
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import logging
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import re
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def postprocess(text: str):
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"""
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postprocess - remove common values in scraped dataset
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