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app.py
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This app assists finance analysts with transcribing and analysis Earnings Calls by carrying out the following tasks:
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- Transcribing earnings calls using Open AI's [Whisper](https://github.com/openai/whisper).
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- Analysing the sentiment of transcribed text using the quantized version of [FinBert-Tone](https://huggingface.co/nickmuchi/quantized-optimum-finbert-tone).
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- Summarization of the call with [FaceBook-Bart](https://huggingface.co/facebook/bart-large-cnn) model with entity extraction
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- Semantic search engine with [Sentence-Transformers](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) and reranking results with a Cross-Encoder.
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**👇 Enter a YouTube Earnings Call URL below and navigate to the sidebar tabs**
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This app assists finance analysts with transcribing and analysis Earnings Calls by carrying out the following tasks:
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- Transcribing earnings calls using Open AI's [Whisper](https://github.com/openai/whisper).
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- Analysing the sentiment of transcribed text using the quantized version of [FinBert-Tone](https://huggingface.co/nickmuchi/quantized-optimum-finbert-tone).
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- Summarization of the call with [FaceBook-Bart-Large-CNN](https://huggingface.co/facebook/bart-large-cnn) model with entity extraction
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- Semantic search engine with [Sentence-Transformers](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) and reranking results with a Cross-Encoder.
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**👇 Enter a YouTube Earnings Call URL below and navigate to the sidebar tabs**
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