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app.py
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@@ -75,11 +75,11 @@ st.markdown("""
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2. π **Named Entity Recognition (NER)** - Identify and classify named entities in text. [Example](https://huggingface.co/spaces/awacke1/Named-entity-resolution)
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3. π **Speech recognition** - Transcribe spoken language into text.
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# Advanced NLP Examples:
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4. π **Machine translation** - Translate text between languages automatically. [Example](https://huggingface.co/spaces/awacke1/Machine-translation)
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5. π **Text summarization** - Automatically summarize large volumes of text. [Example](https://huggingface.co/spaces/awacke1/Text-summarization)
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6. β **Question answering** - Answer questions posed in natural language. [Example](https://huggingface.co/spaces/awacke1/Question-answering)
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2. π **Named Entity Recognition (NER)** - Identify and classify named entities in text. [Example](https://huggingface.co/spaces/awacke1/Named-entity-resolution)
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3. π **Speech recognition** - Transcribe spoken language into text.
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# Advanced NLP Examples:
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3.1. https://huggingface.co/spaces/awacke1/ASR-High-Accuracy-Test
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3.2. https://huggingface.co/spaces/awacke1/ASRGenerateStory
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3.3. https://huggingface.co/spaces/awacke1/TTS-STT-Blocks
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3.4. https://huggingface.co/spaces/awacke1/CloneAnyVoice
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3.5. https://huggingface.co/spaces/awacke1/ASR-SOTA-NvidiaSTTMozilla
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4. π **Machine translation** - Translate text between languages automatically. [Example](https://huggingface.co/spaces/awacke1/Machine-translation)
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5. π **Text summarization** - Automatically summarize large volumes of text. [Example](https://huggingface.co/spaces/awacke1/Text-summarization)
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6. β **Question answering** - Answer questions posed in natural language. [Example](https://huggingface.co/spaces/awacke1/Question-answering)
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