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