xavierbarbier commited on
Commit
688d0cc
·
verified ·
1 Parent(s): 25ea1ea

Update app.py

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Files changed (1) hide show
  1. app.py +7 -13
app.py CHANGED
@@ -42,7 +42,7 @@ embeddings = HuggingFaceEmbeddings(
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  encode_kwargs=encode_kwargs
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  )
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- index = faiss.load_local("resourse/embeddings_ngap.faiss")
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  def get_text_embedding(text):
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@@ -78,7 +78,7 @@ def vote(data: gr.LikeData):
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  return
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  chatbot = gr.Chatbot(avatar_images=('resourse/user-icon.png', 'resourse/chatbot-icon.png'),bubble_full_width = False)
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-
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  additional_inputs=[
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  gr.Slider(
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  label="temperature",
@@ -108,23 +108,17 @@ additional_inputs=[
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  info="limits candidate tokens to a fixed number after sorting by probability. Setting it higher than the vocabulary size deactivates this limit.",
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  )
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  ]
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-
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- character = "Sherlock Holmes"
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- series = "Arthur Conan Doyle's novel"
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-
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  iface = gr.ChatInterface(
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  fn = generater,
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  title=title,
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  description = description,
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  chatbot=chatbot,
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  additional_inputs=additional_inputs,
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- #examples=[
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- # ["Hello there! How are you doing?"],
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- # ["How many hours does it take a man to eat a Helicopter?"],
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- # ["You are a helpful and honest assistant. Always answer as helpfully as possible. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information."],
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- #["I want you to act as a spoken English teacher and improver. I will speak to you in English and you will reply to me in English to practice my spoken English. I want you to strictly correct my grammar mistakes, typos, and factual errors. I want you to ask me a question in your reply. Now let's start practicing, you could ask me a question first. Remember, I want you to strictly correct my grammar mistakes, typos, and factual errors."],
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- #[f"I want you to act like {character} from {series}. I want you to respond and answer like {character} using the tone, manner and vocabulary {character} would use. Do not write any explanations. Only answer like {character}. You must know all of the knowledge of {character}."]
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- #]
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  )
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  with gr.Blocks(css="resourse/style/custom.css") as demo:
 
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  encode_kwargs=encode_kwargs
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  )
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+ #index = faiss.load_local("resourse/embeddings_ngap.faiss")
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  def get_text_embedding(text):
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  return
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  chatbot = gr.Chatbot(avatar_images=('resourse/user-icon.png', 'resourse/chatbot-icon.png'),bubble_full_width = False)
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+ """
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  additional_inputs=[
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  gr.Slider(
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  label="temperature",
 
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  info="limits candidate tokens to a fixed number after sorting by probability. Setting it higher than the vocabulary size deactivates this limit.",
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  )
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  ]
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+ """
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+ additional_inputs=[
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+ gr.UploadButton(file_types=[".pdf",".csv",".doc"])
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+ ]
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  iface = gr.ChatInterface(
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  fn = generater,
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  title=title,
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  description = description,
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  chatbot=chatbot,
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  additional_inputs=additional_inputs,
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+
 
 
 
 
 
 
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  )
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  with gr.Blocks(css="resourse/style/custom.css") as demo: