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hugging face interface support
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@ -26,6 +26,48 @@ def get_huggingface_interface(model_name, api_key):
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'preprocess': lambda x: x,
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'postprocess': lambda r: r[0]["generated_text"],
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# 'examples': [['My name is Clara and I am']]
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},
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'summarization': {
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'inputs': inputs.Textbox(label="Input"),
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'outputs': outputs.Textbox(label="Summary"),
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'preprocess': lambda x: x,
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'postprocess': lambda r: r[0]["summary_text"]
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},
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'translation': {
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'inputs': inputs.Textbox(label="Input"),
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'outputs': outputs.Textbox(label="Translation"),
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'preprocess': lambda x: x,
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'postprocess': lambda r: r[0]["translation_text"]
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},
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'text2text-generation': {
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'inputs': inputs.Textbox(label="Input"),
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'outputs': outputs.Textbox(label="Generated Text"),
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'preprocess': lambda x: x,
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'postprocess': lambda r: r[0]["generated_text"]
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},
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'text-classification': {
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'inputs': inputs.Textbox(label="Input"),
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'outputs': "label",
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'preprocess': lambda x: x,
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'postprocess': lambda r: {'Negative': r[0][0]["score"],
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'Positive': r[0][1]["score"]}
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},
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'fill-mask': {
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'inputs': inputs.Textbox(label="Input"),
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'outputs': "label",
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'preprocess': lambda x: x,
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'postprocess': lambda r: {i["token_str"]: i["score"] for i in r}
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},
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'zero-shot-classification': {
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'inputs': [inputs.Textbox(label="Input"),
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inputs.Textbox(label="Possible class names ("
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"comma-separated)"),
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inputs.Checkbox(label="Allow multiple true classes")],
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'outputs': "label",
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'preprocess': lambda i, c, m: {"inputs": i, "parameters":
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{"candidate_labels": c, "multi_class": m}},
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'postprocess': lambda r: {r["labels"][i]: r["scores"][i] for i in
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range(len(r["labels"]))}
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}
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}
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