Improve docs (#51)

langchain/chains/react/base.py

@@ -115,8 +115,8 @@ class ReActChain(Chain, BaseModel):
             Final answer from thinking through the ReAct framework.
 
         Example:
-
             .. code-block:: python
+
                 question = "Were Scott Derrickson and Ed Wood of the same nationality?"
                 answer = react.run(question)
         """

langchain/llms/huggingface_hub.py

@@ -21,8 +21,8 @@ class HuggingFaceHub(BaseModel, LLM):
     Example:
         .. code-block:: python
 
-            from langchain import HuggingFace
-            hf = HuggingFace(model="text-davinci-002")
+            from langchain import HuggingFaceHub
+            hf = HuggingFaceHub(repo_id="gpt2")
     """
 
     client: Any  #: :meta private:

langchain/prompt.py

@@ -80,7 +80,24 @@ class Prompt(BaseModel):
         example_separator: str = "\n\n",
         prefix: str = "",
     ) -> "Prompt":
-        """Take examples in list format with prefix and suffix to create a prompt."""
+        """Take examples in list format with prefix and suffix to create a prompt.
+
+        Intended be used as a way to dynamically create a prompt from examples.
+
+        Args:
+            examples: List of examples to use in the prompt.
+            suffix: String to go after the list of examples. Should generally
+                set up the user's input.
+            input_variables: A list of variable names the final prompt template
+                will expect.
+            example_separator: The seperator to use in between examples. Defaults
+                to two new line characters.
+            prefix: String that should go before any examples. Generally includes
+                examples. Default to an empty string.
+
+        Returns:
+            The final prompt generated.
+        """
         example_str = example_separator.join(examples)
         template = prefix + example_str + suffix
         return cls(input_variables=input_variables, template=template)