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"wahaha"
Browse files- __pycache__/dataset.cpython-39.pyc +0 -0
- __pycache__/model.cpython-39.pyc +0 -0
- __pycache__/seafoam.cpython-39.pyc +0 -0
- __pycache__/utils.cpython-39.pyc +0 -0
- app.py +1 -5
- seafoam.py +0 -58
__pycache__/dataset.cpython-39.pyc
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__pycache__/model.cpython-39.pyc
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__pycache__/seafoam.cpython-39.pyc
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__pycache__/utils.cpython-39.pyc
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app.py
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@@ -7,7 +7,6 @@ import pickle
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from pathlib import Path
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from utils import Vocab
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from model import SeqClassifier
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from seafoam import Seafoam
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# Set model parameters
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max_len = 128
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@@ -71,9 +70,6 @@ def classify(text):
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prediction = idx2label(Predicted_class)
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return "Category:" + prediction
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# Use the Seafoam theme
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seafoam = Seafoam()
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# Create a Gradio interface
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demo = gr.Interface(
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fn=classify,
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],
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title="Text Intent Classification Demo",
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description="This demo uses a model to classify text into different intents or categories. Enter a text and see the classification result.",
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theme=seafoam
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)
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# Launch the Gradio interface
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from pathlib import Path
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from utils import Vocab
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from model import SeqClassifier
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# Set model parameters
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max_len = 128
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prediction = idx2label(Predicted_class)
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return "Category:" + prediction
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# Create a Gradio interface
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demo = gr.Interface(
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fn=classify,
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],
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title="Text Intent Classification Demo",
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description="This demo uses a model to classify text into different intents or categories. Enter a text and see the classification result.",
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theme="gradio/seafoam"
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)
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# Launch the Gradio interface
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seafoam.py
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from __future__ import annotations
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from typing import Iterable
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import gradio as gr
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from gradio.themes.base import Base
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from gradio.themes.utils import colors, fonts, sizes
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import time
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class Seafoam(Base):
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def __init__(
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self,
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*,
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primary_hue: colors.Color | str = colors.emerald,
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secondary_hue: colors.Color | str = colors.blue,
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neutral_hue: colors.Color | str = colors.blue,
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spacing_size: sizes.Size | str = sizes.spacing_md,
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radius_size: sizes.Size | str = sizes.radius_md,
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text_size: sizes.Size | str = sizes.text_lg,
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font: fonts.Font
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| str
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| Iterable[fonts.Font | str] = (
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fonts.GoogleFont("Quicksand"),
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"ui-sans-serif",
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"sans-serif",
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),
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font_mono: fonts.Font
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| str
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| Iterable[fonts.Font | str] = (
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fonts.GoogleFont("IBM Plex Mono"),
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"ui-monospace",
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"monospace",
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),
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):
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super().__init__(
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primary_hue=primary_hue,
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secondary_hue=secondary_hue,
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neutral_hue=neutral_hue,
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spacing_size=spacing_size,
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radius_size=radius_size,
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text_size=text_size,
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font=font,
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font_mono=font_mono,
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)
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super().set(
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body_background_fill="repeating-linear-gradient(45deg, *primary_200, *primary_200 10px, *primary_50 10px, *primary_50 20px)",
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body_background_fill_dark="repeating-linear-gradient(45deg, *primary_800, *primary_800 10px, *primary_900 10px, *primary_900 20px)",
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button_primary_background_fill="linear-gradient(90deg, *primary_300, *secondary_400)",
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button_primary_background_fill_hover="linear-gradient(90deg, *primary_200, *secondary_300)",
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button_primary_text_color="white",
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button_primary_background_fill_dark="linear-gradient(90deg, *primary_600, *secondary_800)",
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slider_color="*secondary_300",
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slider_color_dark="*secondary_600",
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block_title_text_weight="600",
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block_border_width="3px",
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block_shadow="*shadow_drop_lg",
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button_shadow="*shadow_drop_lg",
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button_large_padding="32px",
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)
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