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| (:uri "file:///home/joost/src/amelia/amy/src/pages/01_Compare_intents.py" :version 0 :languageId "python" :text "import spacy\nimport pandas as pd\nimport streamlit as sl\nimport streamlit.components.v1 as components\nimport scattertext as st\n\nsl.set_page_config(layout=\"wide\")\n\nsl.write(\"# Compare intents\")\n\nwith sl.expander(\"**Usage**\"):\n sl.markdown(\n \"\"\"Compare two intents in a training data set.\n\nUpload a `tsv` file with training data and select two intents. A graph will be\ncreated that plots the words used in both intents. This allows you to see which\nwords occur more often in the two intents and which words occur in both intents.\n\nThe `tsv` file should have the intents in column 1 and the utterances in column\n2, and should not have a header.\n\n \"\"\"\n )\n\nintents = pd.Series(dtype=object)\nintent1 = \"\"\nintent2 = \"\"\nunigrams_only = True\nsubmitted = None\n\ncol1, col2 = sl.columns(2)\n\nwith col1:\n sl.write(\"### Utterances\")\n\n utterance_file = sl.file_uploader(\"Choose training data file\")\n\n if utterance_file:\n sl.session_state.df = pd.read_csv(\n utterance_file,\n sep=\"\\t\",\n encoding=\"utf-8\",\n dtype=str,\n usecols=[0, 1],\n names=[\"intent\", \"utterance\"],\n )\n\n sl.session_state.df.fillna(\"none\", inplace=True)\n\n intents = sl.session_state.df.intent.unique()\n\nwith col2:\n form_placeholder = sl.empty()\n\n if intents.any():\n\n with form_placeholder.container():\n\n with sl.form(\"form\"):\n\n sl.write(\"### Intents\")\n\n intent1 = sl.selectbox(label=\"Intent 1\", options=intents)\n intent2 = sl.selectbox(label=\"Intent 2\", options=intents)\n\n unigrams_only = sl.checkbox(\"Show only unigrams\", value=True)\n\n submitted = sl.form_submit_button(\"Submit\")\n\n else:\n\n with form_placeholder.container():\n\n with sl.form(\"form\"):\n\n sl.write(\"### Intents\")\n\n sl.text_input(label=\"Intent 1\", disabled=True)\n sl.text_input(label=\"Intent 2\", disabled=True)\n\n unigrams_only = sl.checkbox(\n \"Show only unigrams\", value=True, disabled=True\n )\n\n sl.form_submit_button(\"Submit\", disabled=True)\n\nif submitted and intent1 and intent2:\n\n with sl.spinner(\"Creating plot...\"):\n\n nlp = spacy.load(\"en_core_web_sm\")\n\n # Extract only the intents we're interested in:\n df = sl.session_state.df.loc[\n (sl.session_state.df[\"intent\"] == intent1)\n | (sl.session_state.df[\"intent\"] == intent2)\n ]\n\n # Process them with spaCy so we get the lemmas:\n df = df.assign(doc=lambda df: df.utterance.apply(nlp))\n\n corpus = st.CorpusFromParsedDocuments(\n df,\n category_col=\"intent\",\n parsed_col=\"doc\",\n feats_from_spacy_doc=st.FeatsFromSpacyDoc(use_lemmas=True),\n ).build()\n\n if unigrams_only:\n corpus = corpus.get_unigram_corpus()\n\n html = st.produce_scattertext_explorer(\n corpus,\n category=intent1,\n category_name=intent1,\n not_category_name=intent2,\n minimum_term_frequency=0,\n pmi_threshold_coefficient=0,\n width_in_pixels=1000,\n metadata=corpus.get_df()[\"utterance\"],\n transform=st.Scalers.dense_rank,\n )\n\n components.html(html, height=1000, scrolling=True)\n"))) | |
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| (:kind "markdown" :value "```python\n(variable) markdown: (body: SupportsStr, unsafe_allow_html: bool = False) -> DeltaGenerator\n```\n---\nDisplay string formatted as Markdown.\n\nParameters\n----------\nbody : str \n The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.\n\n This also supports:\n\n * Emoji shortcodes, such as `` and ``.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.\n\n * LaTeX expressions, by wrapping them in \"$\" or \"$$\" (the \"$$\"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.\n\n * Colored text, using the syntax `:color[text to be colored]`,\nwhere `color` needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.\n\nunsafe\\_allow\\_html : bool \n By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.\n\n That said, we \\*strongly advise against it\\*. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:\n\n https://github.com/streamlit/streamlit/issues/152\n\nExamples\n--------\n```\n>>> import streamlit as st\n>>>\n>>> st.markdown('Streamlit is **_really_ cool**.')\n>>> st.markdown(”This text is :red[colored red], and this is **:blue[colored]** and bold.”)\n>>> st.markdown(\":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:\")\n```") | |
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| (:kind "markdown" :value "```python\n(variable) markdown: (body: SupportsStr, unsafe_allow_html: bool = False) -> DeltaGenerator\n```\n---\nDisplay string formatted as Markdown.\n\nParameters\n----------\nbody : str \n The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.\n\n This also supports:\n\n * Emoji shortcodes, such as `` and ``.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.\n\n * LaTeX expressions, by wrapping them in \"$\" or \"$$\" (the \"$$\"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.\n\n * Colored text, using the syntax `:color[text to be colored]`,\nwhere `color` needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.\n\nunsafe\\_allow\\_html : bool \n By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.\n\n That said, we \\*strongly advise against it\\*. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:\n\n https://github.com/streamlit/streamlit/issues/152\n\nExamples\n--------\n```\n>>> import streamlit as st\n>>>\n>>> st.markdown('Streamlit is **_really_ cool**.')\n>>> st.markdown(”This text is :red[colored red], and this is **:blue[colored]** and bold.”)\n>>> st.markdown(\":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:\")\n```") | |
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| ```python | |
| (variable) markdown: (body: SupportsStr, unsafe_allow_html: bool = False) -> DeltaGenerator | |
| ``` | |
| --- | |
| Display string formatted as Markdown. | |
| Parameters | |
| ---------- | |
| body : str | |
| The string to display as Github-flavored Markdown. Syntax | |
| information can be found at: https://github.github.com/gfm. | |
| This also supports: | |
| * Emoji shortcodes, such as `` and ``. | |
| For a list of all supported codes, | |
| see https://share.streamlit.io/streamlit/emoji-shortcodes. | |
| * LaTeX expressions, by wrapping them in "$" or "$$" (the "$$" | |
| must be on their own lines). Supported LaTeX functions are listed | |
| at https://katex.org/docs/supported.html. | |
| * Colored text, using the syntax `:color[text to be colored]`, | |
| where `color` needs to be replaced with any of the following | |
| supported colors: blue, green, orange, red, violet. | |
| unsafe\_allow\_html : bool | |
| By default, any HTML tags found in the body will be escaped and | |
| therefore treated as pure text. This behavior may be turned off by | |
| setting this argument to True. | |
| That said, we \*strongly advise against it\*. It is hard to write | |
| secure HTML, so by using this argument you may be compromising your | |
| users' security. For more information, see: | |
| https://github.com/streamlit/streamlit/issues/152 | |
| Examples | |
| -------- | |
| ``` | |
| >>> import streamlit as st | |
| >>> | |
| >>> st.markdown('Streamlit is **_really_ cool**.') | |
| >>> st.markdown(”This text is :red[colored red], and this is **:blue[colored]** and bold.”) | |
| >>> st.markdown(":green[$\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:") | |
| ``` |
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