Update app.py
Browse files
app.py
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import gradio as gr
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models = {
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"image-classification": "microsoft/resnet-50",
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"text-to-image": "runwayml/stable-diffusion-v1-5",
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"image-to-text": "nlpconnect/vit-gpt2-image-captioning",
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"audio-classification": "mtg-upf/discogs-maest-30s-pw-73e-ts",
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"audio-to-audio": "speechbrain/mtl-mimic-voicebank",
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"automatic-speech-recognition": "jonatasgrosman/wav2vec2-large-xlsr-53-english",
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"conversational": "microsoft/DialoGPT-medium",
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"feature-extraction": "cambridgeltl/SapBERT-from-PubMedBERT-fulltext",
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"fill-mask": "bert-base-uncased",
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"question-answering": "deepset/roberta-base-squad2",
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"summarization": "facebook/bart-large-cnn",
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"text-classification": "cardiffnlp/twitter-roberta-base-sentiment-latest",
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"text-generation": "gpt2",
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"text2text-generation": "vennify/t5-base-grammar-correction",
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"translation": "Helsinki-NLP/opus-mt-fr-en",
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"zero-shot-classification": "facebook/bart-large-mnli",
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"sentence-similarity": "sentence-transformers/all-mpnet-base-v2",
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"text-to-speech": "facebook/mms-tts-eng",
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"token-classification": "benjamin/wtp-canine-s-1l",
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"document-question-answering": "fxmarty/tiny-doc-qa-vision-encoder-decoder",
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"visual-question-answering": "Salesforce/blip-vqa-capfilt-large",
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}
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with gr.Blocks() as demo:
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import gradio as gr
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models = {
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"object-detection": "facebook/detr-resnet-50",
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# "image-classification": "microsoft/resnet-50",
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# "text-to-image": "runwayml/stable-diffusion-v1-5",
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# "image-to-text": "nlpconnect/vit-gpt2-image-captioning",
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# "audio-classification": "mtg-upf/discogs-maest-30s-pw-73e-ts",
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# "audio-to-audio": "speechbrain/mtl-mimic-voicebank",
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# "automatic-speech-recognition": "jonatasgrosman/wav2vec2-large-xlsr-53-english",
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# "conversational": "microsoft/DialoGPT-medium",
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# "feature-extraction": "cambridgeltl/SapBERT-from-PubMedBERT-fulltext",
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# "fill-mask": "bert-base-uncased",
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# "question-answering": "deepset/roberta-base-squad2",
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# "summarization": "facebook/bart-large-cnn",
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# "text-classification": "cardiffnlp/twitter-roberta-base-sentiment-latest",
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# "text-generation": "gpt2",
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# "text2text-generation": "vennify/t5-base-grammar-correction",
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# "translation": "Helsinki-NLP/opus-mt-fr-en",
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# "zero-shot-classification": "facebook/bart-large-mnli",
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# "sentence-similarity": "sentence-transformers/all-mpnet-base-v2",
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# "text-to-speech": "facebook/mms-tts-eng",
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# "token-classification": "benjamin/wtp-canine-s-1l",
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# "document-question-answering": "fxmarty/tiny-doc-qa-vision-encoder-decoder",
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# "visual-question-answering": "Salesforce/blip-vqa-capfilt-large",
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}
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with gr.Blocks() as demo:
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