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mores_pulse

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kovacsvi commited on 12 days ago

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87ae24e

1 Parent(s): 0fd85b8

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@@ -230,7 +230,7 @@ with gr.Blocks(css=css) as demo:
     This application detects and visualises emotions in text. The model behind it operates using a 6-label codebook, including the following labels: `Anger`, `Fear`, `Disgust`, `Sadness`, `Joy`, and `None of Them`.
     The [model](https://huggingface.co/poltextlab/xlm-roberta-large-pooled-emotions6) is optimised for sentence-level analysis, and make predictions in the following languages: Czech, English, French, German, Hungarian, Polish, and Slovak.
     The text you enter in the input box is automatically divided into sentences, and the analysis is performed on each sentence. Depending on the length of the text, this process may take a few seconds, but for longer texts, it can take up to 2-3 minutes.
-    Read our Q&A about Pulse (here)[https://cms.mores-horizon.eu/uploads/TEST_PDF_080b70a9fe.pdf].
     """
     gr.HTML("<h1>MORES Pulse</h1>", elem_classes="title_")

     This application detects and visualises emotions in text. The model behind it operates using a 6-label codebook, including the following labels: `Anger`, `Fear`, `Disgust`, `Sadness`, `Joy`, and `None of Them`.
     The [model](https://huggingface.co/poltextlab/xlm-roberta-large-pooled-emotions6) is optimised for sentence-level analysis, and make predictions in the following languages: Czech, English, French, German, Hungarian, Polish, and Slovak.
     The text you enter in the input box is automatically divided into sentences, and the analysis is performed on each sentence. Depending on the length of the text, this process may take a few seconds, but for longer texts, it can take up to 2-3 minutes.
+    Read our Q&A about Pulse [here](https://cms.mores-horizon.eu/uploads/TEST_PDF_080b70a9fe.pdf).
     """
     gr.HTML("<h1>MORES Pulse</h1>", elem_classes="title_")