ctankso_americas_corpdir_net commited on
Commit
0a0682f
·
1 Parent(s): 966a2b3

minor re-formatting

Browse files
InnovationHub/llm/__pycache__/chain.cpython-310.pyc CHANGED
Binary files a/InnovationHub/llm/__pycache__/chain.cpython-310.pyc and b/InnovationHub/llm/__pycache__/chain.cpython-310.pyc differ
 
InnovationHub/llm/__pycache__/vector_store.cpython-310.pyc CHANGED
Binary files a/InnovationHub/llm/__pycache__/vector_store.cpython-310.pyc and b/InnovationHub/llm/__pycache__/vector_store.cpython-310.pyc differ
 
app.py CHANGED
@@ -1,17 +1,5 @@
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  from InnovationHub.llm.vector_store import *
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  from InnovationHub.llm.chain import *
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- import os
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- import pprint
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- import codecs
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- import chardet
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- import gradio as gr
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- from langchain.llms import HuggingFacePipeline
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- from langchain.text_splitter import RecursiveCharacterTextSplitter
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- from langchain.embeddings import HuggingFaceEmbeddings
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- from langchain.vectorstores import FAISS
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- from langchain import OpenAI, ConversationChain, LLMChain, PromptTemplate
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- from langchain.chains.conversation.memory import ConversationalBufferWindowMemory
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- from EdgeGPT import Chatbot
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  """
@@ -23,9 +11,9 @@ index = FAISS(docs=docs, folder_path=db_path, embeddings=embeddings)
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  # Launch the Gradio UI
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  def start_gradio():
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- chatbot_interface = gr.Interface(
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  fn=chatbot,
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- inputs=["text", gr.inputs.Checkbox(label="Create bot"), gr.inputs.Slider(
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  minimum=1, maximum=10, step=1, label="k")],
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  outputs="text",
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  title="Mercedes-Benz S-Class Owner's Manual",
 
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  from InnovationHub.llm.vector_store import *
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  from InnovationHub.llm.chain import *
 
 
 
 
 
 
 
 
 
 
 
 
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  """
 
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  # Launch the Gradio UI
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  def start_gradio():
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+ chatbot_interface = gradio.Interface(
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  fn=chatbot,
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+ inputs=["text", gradio.inputs.Checkbox(label="Create bot"), gradio.inputs.Slider(
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  minimum=1, maximum=10, step=1, label="k")],
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  outputs="text",
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  title="Mercedes-Benz S-Class Owner's Manual",