Update app.py

app.py

@@ -18,30 +18,19 @@ if text1:
   out = pipe(text1)
   st.json(out)
 
+# 获取秘钥
 API_TOKEN = os.getenv('My_Token')
-
+# 通过 inference api 可以访问其他 hub 中托管的模型的能力
 inference = InferenceApi(repo_id="bert-base-uncased", token=API_TOKEN)
 
-# The goal of life is [MASK]
+# 测试用例: The goal of life is [MASK]
 text2 = st.text_area("enter some text 222")
 if text2:
     res = inference(inputs=text2)
     st.json(res)
 
+# 还可以使用 dataset 库用来从数据集的 hub 中获取数据集
 dataset = load_dataset("merve/poetry", streaming=True)
 df = pd.DataFrame.from_dict(dataset["train"])
 st.write(df)
 
-# import streamlit as st
-
-# # adding the text that will show in the text box as default
-# default_value = "See how a modern neural network auto-completes your text 🤗 This site, built by the    Hugging Face team, lets you write a whole document directly from your browser, and you can trigger the Transformer anywhere using the Tab key. Its like having a smart machine that completes your thoughts 😀 Get started by typing a custom snippet, check out the repository, or try one of the examples. Have fun!"
-
-# sent = st.text_area("Text", default_value, height = 275)
-# max_length = st.sidebar.slider("Max Length", min_value = 10, max_value=30)
-# temperature = st.sidebar.slider("Temperature", value = 1.0, min_value = 0.0, max_value=1.0, step=0.05)
-# top_k = st.sidebar.slider("Top-k", min_value = 0, max_value=5, value = 0)
-# top_p = st.sidebar.slider("Top-p", min_value = 0.0, max_value=1.0, step = 0.05, value = 0.9)
-# num_return_sequences = st.sidebar.number_input('Number of Return Sequences', min_value=1, max_value=5, value=1, step=1)
-
-