Spaces:
Sleeping
Sleeping
Commit
·
832fdde
1
Parent(s):
b21d736
add v3.
Browse files
app.py
CHANGED
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@@ -141,20 +141,15 @@ def convert_df(df):
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@st.cache_resource
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def
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model_path = hf_hub_download(repo_id=model_name, filename=file_name)
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model = fasttext.load_model(model_path)
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return model
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@st.cache_resource
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def load_GlotLID_v2(model_name, file_name):
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model_path = hf_hub_download(repo_id=model_name, filename=file_name)
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model = fasttext.load_model(model_path)
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return model
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model_1 =
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model_2 =
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# @st.cache_resource
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def plot(label, prob):
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@@ -179,7 +174,7 @@ def plot(label, prob):
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ax.set_xlabel("Confidence", color=BLACK_COLOR)
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st.pyplot(fig)
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def compute(sentences, version = '
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"""Computes the language probablities and labels for the given sentences.
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Args:
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@@ -189,7 +184,7 @@ def compute(sentences, version = 'v2'):
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A list of language probablities and labels for the given sentences.
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"""
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progress_text = "Computing Language..."
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model_choice = model_2 if version == 'v2' else model_1
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my_bar = st.progress(0, text=progress_text)
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probs = []
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@@ -206,7 +201,7 @@ def compute(sentences, version = 'v2'):
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output_label_language = output_label.split('_')[0]
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# script control
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if version in ['v2'] and output_label_language!= 'zxx':
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main_script, all_scripts = get_script(sent)
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output_label_script = output_label.split('_')[1]
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@@ -247,9 +242,9 @@ with tab1:
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version = st.radio(
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"Choose model",
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["v1", "v2"],
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captions=["GlotLID version 1", "GlotLID version 2 (
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index =
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key = 'version_tab1',
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horizontal = True
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)
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@@ -286,9 +281,9 @@ with tab2:
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version = st.radio(
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"Choose model",
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["v1", "v2"],
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captions=["GlotLID version 1", "GlotLID version 2 (
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index =
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key = 'version_tab2',
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horizontal = True
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)
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@st.cache_resource
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def load_GlotLID(model_name, file_name):
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model_path = hf_hub_download(repo_id=model_name, filename=file_name)
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model = fasttext.load_model(model_path)
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return model
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model_1 = load_GlotLID(constants.MODEL_NAME, "model_v1.bin")
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model_2 = load_GlotLID(constants.MODEL_NAME, "model_v2.bin")
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model_3 = load_GlotLID(constants.MODEL_NAME, "model_v3.bin")
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# @st.cache_resource
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def plot(label, prob):
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ax.set_xlabel("Confidence", color=BLACK_COLOR)
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st.pyplot(fig)
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def compute(sentences, version = 'v3'):
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"""Computes the language probablities and labels for the given sentences.
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Args:
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A list of language probablities and labels for the given sentences.
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"""
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progress_text = "Computing Language..."
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model_choice = model_3 if version == 'v3' else (model_2 if version == 'v2' else model_1)
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my_bar = st.progress(0, text=progress_text)
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probs = []
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output_label_language = output_label.split('_')[0]
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# script control
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if version in ['v2', 'v3'] and output_label_language!= 'zxx':
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main_script, all_scripts = get_script(sent)
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output_label_script = output_label.split('_')[1]
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version = st.radio(
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"Choose model",
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["v1", "v2", "v3"],
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captions=["GlotLID version 1", "GlotLID version 2", "GlotLID version 3 (More languages, better quality data)"],
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index = 2,
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key = 'version_tab1',
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horizontal = True
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)
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version = st.radio(
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"Choose model",
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["v1", "v2", "v3"],
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captions=["GlotLID version 1", "GlotLID version 2", "GlotLID version 3 (More languages, better quality data)" ],
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index = 2,
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key = 'version_tab2',
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horizontal = True
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)
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