Add hf transformers bot (#24)

app.py

@@ -7,6 +7,7 @@ from buster.chatbot import Chatbot, ChatbotConfig
 MILA_CLUSTER_CHANNEL = "C04LR4H9KQA"
 ORION_CHANNEL = "C04LYHGUYB0"
 PYTORCH_CHANNEL = "C04MEK6N882"
+HF_TRANSFORMERS_CHANNEL = "C04NJNCJWHE"
 
 buster_cfg = ChatbotConfig(
     documents_file="buster/data/document_embeddings.csv",
@@ -70,7 +71,7 @@ orion_cfg = ChatbotConfig(
 
     What is the meaning of life for orion?
 
-    This doesn't seem to be related to cluster usage.
+    This doesn't seem to be related to the orion library.
 
     Now answer the following question:
     """,
@@ -103,13 +104,46 @@ pytorch_cfg = ChatbotConfig(
 
     What is the meaning of life for pytorch?
 
-    This doesn't seem to be related to cluster usage.
+    This doesn't seem to be related to the pytorch library.
 
     Now answer the following question:
     """,
 )
 pytorch_chatbot = Chatbot(pytorch_cfg)
 
+hf_transformers_cfg = ChatbotConfig(
+    documents_file="buster/data/document_embeddings_hf_transformers.tar.gz",
+    unknown_prompt="This doesn't seem to be related to the huggingface library. I am not sure how to answer.",
+    embedding_model="text-embedding-ada-002",
+    top_k=3,
+    thresh=0.7,
+    max_chars=3000,
+    completion_kwargs={
+        "engine": "text-davinci-003",
+        "max_tokens": 500,
+    },
+    separator="\n",
+    link_format="slack",
+    text_after_response="I'm a bot 🤖 and not always perfect.",
+    text_before_prompt="""You are a slack chatbot assistant answering technical questions about huggingface transformers, a library to train transformers in python.
+    Make sure to format your answers in Markdown format, including code block and snippets.
+    Do not include any links to urls or hyperlinks in your answers.
+
+    If you do not know the answer to a question, or if it is completely irrelevant to the library usage, simply reply with:
+
+    'This doesn't seem to be related to the huggingface library.'
+
+    For example:
+
+    What is the meaning of life for huggingface?
+
+    This doesn't seem to be related to the huggingface library.
+
+    Now answer the following question:
+    """,
+)
+hf_transformers_chatbot = Chatbot(hf_transformers_cfg)
+
 app = App(token=os.environ.get("SLACK_BOT_TOKEN"), signing_secret=os.environ.get("SLACK_SIGNING_SECRET"))
 
 
@@ -130,6 +164,12 @@ def respond_to_question(event, say):
     elif channel == PYTORCH_CHANNEL:
         print("*******using PYTORCH********")
         answer = pytorch_chatbot.process_input(text)
+    elif channel == HF_TRANSFORMERS_CHANNEL:
+        print("*******using HF TRANSFORMERS********")
+        answer = hf_transformers_chatbot.process_input(text)
+    else:
+        print(f"invalid channel: {channel}")
+        answer = "I was not yet implemented to support this channel."
 
     # responds to the message in the thread
     thread_ts = event["event_ts"]