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Update app.py
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app.py
CHANGED
@@ -12,7 +12,7 @@ HFTOKEN = os.environ["HF_TOKEN"]
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async () => {
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// Load Twitter Widgets script
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const script = document.createElement("script");
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@@ -169,7 +169,7 @@ def qa_summarise(selected_queries, qa_llm_model, text_field, data_df):
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with gr.Blocks(fill_width=True) as demo:
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demo.load(None,None,None,js=
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event_models = ["jayebaku/XLMRoberta-twitter-crexdata-flood-wildfire-detector",
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"jayebaku/distilbert-base-multilingual-cased-crexdata-relevance-classifier",]
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@@ -367,20 +367,30 @@ with gr.Blocks(fill_width=True) as demo:
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m_js = """ (x) =>
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{
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reloadTwitterWidgets();
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const tweetContainer = document.getElementById("
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tweetContainer.innerHTML = "";
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twttr.widgets.createTweet(x,tweetContainer,{theme: 'dark', dnt: true, align: 'center'});
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}
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@@ -395,7 +405,7 @@ with gr.Blocks(fill_width=True) as demo:
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)
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T_data.select(T_on_select, None, T_tweetID)
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T_tweetID.change(fn=None, inputs=T_tweetID, outputs=None, js=m_js)
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@T_data_filter.input(inputs=[T_data_ss_state, T_data_filter], outputs=T_data)
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def filter_df(df, filter):
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@@ -428,7 +438,7 @@ with gr.Blocks(fill_width=True) as demo:
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outputs=[hsummary, qa_df])
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qa_df.select(T_on_select, None, qa_tweetID)
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qa_tweetID.change(fn=None, inputs=qa_tweetID, outputs=None, js=
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# Event listener for single text classification
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loadTwitterWidgets_js = """
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async () => {
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// Load Twitter Widgets script
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const script = document.createElement("script");
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with gr.Blocks(fill_width=True) as demo:
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demo.load(None,None,None,js=loadTwitterWidgets_js)
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event_models = ["jayebaku/XLMRoberta-twitter-crexdata-flood-wildfire-detector",
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"jayebaku/distilbert-base-multilingual-cased-crexdata-relevance-classifier",]
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# m_js = """ (x) =>
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# {
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# reloadTwitterWidgets();
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# const tweetContainer = document.getElementById("tweet-container");
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# tweetContainer.innerHTML = "";
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# twttr.widgets.createTweet(x,tweetContainer,{theme: 'dark', dnt: true, align: 'center'});
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# }
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# """
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# m2_js = """ (x) =>
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# {
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# reloadTwitterWidgets();
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# const tweetContainer = document.getElementById("tweet-container2");
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# tweetContainer.innerHTML = "";
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# twttr.widgets.createTweet(x,tweetContainer,{theme: 'dark', dnt: true, align: 'center'});
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# }
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# """
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m_js = """ (x) =>
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{
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reloadTwitterWidgets();
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const tweetContainer = document.getElementById("<=CONTAINER-NAME=>");
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tweetContainer.innerHTML = "";
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twttr.widgets.createTweet(x,tweetContainer,{theme: 'dark', dnt: true, align: 'center'});
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}
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)
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T_data.select(T_on_select, None, T_tweetID)
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T_tweetID.change(fn=None, inputs=T_tweetID, outputs=None, js=m_js.replace("<=CONTAINER-NAME=>", "tweet-container"))
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@T_data_filter.input(inputs=[T_data_ss_state, T_data_filter], outputs=T_data)
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def filter_df(df, filter):
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outputs=[hsummary, qa_df])
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qa_df.select(T_on_select, None, qa_tweetID)
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qa_tweetID.change(fn=None, inputs=qa_tweetID, outputs=None, js=m_js.replace("<=CONTAINER-NAME=>", "tweet-container2"))
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# Event listener for single text classification
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