joermd commited on
Commit
c87c871
·
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1 Parent(s): 622d95e

Update app.py

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Files changed (1) hide show
  1. app.py +2 -15
app.py CHANGED
@@ -1,12 +1,9 @@
 
1
  import gradio as gr
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  from huggingface_hub import InferenceClient
3
 
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- """
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- For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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- """
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  client = InferenceClient("joermd/speedy-llama2")
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-
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  def respond(
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  message,
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  history: list[tuple[str, str]],
@@ -16,17 +13,13 @@ def respond(
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  top_p,
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  ):
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  messages = [{"role": "system", "content": system_message}]
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-
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  for val in history:
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  if val[0]:
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  messages.append({"role": "user", "content": val[0]})
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  if val[1]:
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  messages.append({"role": "assistant", "content": val[1]})
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-
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  messages.append({"role": "user", "content": message})
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-
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  response = ""
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-
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  for message in client.chat_completion(
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  messages,
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  max_tokens=max_tokens,
@@ -35,14 +28,9 @@ def respond(
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  top_p=top_p,
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  ):
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  token = message.choices[0].delta.content
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-
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  response += token
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  yield response
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-
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- """
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- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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- """
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  demo = gr.ChatInterface(
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  respond,
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  additional_inputs=[
@@ -59,6 +47,5 @@ demo = gr.ChatInterface(
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  ],
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  )
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-
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  if __name__ == "__main__":
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- demo.launch()
 
1
+ # app.py
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  import gradio as gr
3
  from huggingface_hub import InferenceClient
4
 
 
 
 
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  client = InferenceClient("joermd/speedy-llama2")
6
 
 
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  def respond(
8
  message,
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  history: list[tuple[str, str]],
 
13
  top_p,
14
  ):
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  messages = [{"role": "system", "content": system_message}]
 
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  for val in history:
17
  if val[0]:
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  messages.append({"role": "user", "content": val[0]})
19
  if val[1]:
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  messages.append({"role": "assistant", "content": val[1]})
 
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  messages.append({"role": "user", "content": message})
 
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  response = ""
 
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  for message in client.chat_completion(
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  messages,
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  max_tokens=max_tokens,
 
28
  top_p=top_p,
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  ):
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  token = message.choices[0].delta.content
 
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  response += token
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  yield response
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  demo = gr.ChatInterface(
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  respond,
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  additional_inputs=[
 
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  ],
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  )
49
 
 
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  if __name__ == "__main__":
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+ demo.launch()