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Update README.md

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@@ -63,7 +63,12 @@ filter the best one with Cross-Encoder.
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  * bi_bert_answers.npy - numpy array with vectorized answers, which are used to faster inference of the model.
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  * bi_bert_answers.npy - numpy array with vectorized answers, which are used to faster inference of the model.
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+ ## Example of conversation with chatbot
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+ ![Example 1](example_1.jpg)
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+ ![Example 2](example_2.jpg)
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+ ![Example 3](example_3.jpg)
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+ ![Example 4](example_4.jpg)
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference