Create app.py

app.py

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+#Python版本的transformers pipeline API
+#https://huggingface.co/docs/transformers/main_classes/pipelines
+
+#Java版本的transformers pipeline API
+#https://huggingface.co/docs/transformers.js/pipelines#available-tasks
+
+#Python版本示例：https://huggingface.co/docs/transformers/main_classes/pipelines
+from transformers import pipeline, AutoModelForTokenClassification, AutoTokenizer
+
+# Sentiment analysis pipeline
+analyzer = pipeline("sentiment-analysis")
+#sentiment-analysis的default model是distilbert-base-uncased-finetuned-sst-2-english
+#https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english?text=I+like+you.+I+love+you
+#https://huggingface.co/blog/sentiment-analysis-python
+
+# Question answering pipeline, specifying the checkpoint identifier
+oracle = pipeline(
+    "question-answering", model="distilbert-base-cased-distilled-squad", tokenizer="bert-base-cased"
+)
+
+# Named entity recognition pipeline, passing in a specific model and tokenizer
+model = AutoModelForTokenClassification.from_pretrained("dbmdz/bert-large-cased-finetuned-conll03-english")
+tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
+recognizer = pipeline("ner", model=model, tokenizer=tokenizer)
+