Jyothikamalesh commited on
Commit
8439074
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1 Parent(s): 7c890a9

Update app.py

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Files changed (1) hide show
  1. app.py +21 -18
app.py CHANGED
@@ -1,11 +1,13 @@
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("HuggingFaceH4/zephyr-7b-beta")
8
 
 
 
 
 
9
 
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  def respond(
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  message,
@@ -26,27 +28,26 @@ def respond(
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  messages.append({"role": "user", "content": message})
27
 
28
  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,
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  stream=True,
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  temperature=temperature,
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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=[
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- gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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  gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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  gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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  gr.Slider(
@@ -54,11 +55,13 @@ demo = gr.ChatInterface(
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  maximum=1.0,
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  value=0.95,
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  step=0.05,
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- label="Top-p (nucleus sampling)",
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  ),
 
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  ],
 
 
 
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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
  import gradio as gr
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+ from openai import OpenAI
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+ import os
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+ ACCESS_TOKEN = os.getenv("HF_TOKEN")
 
 
 
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+ client = OpenAI(
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+ base_url="https://api-inference.huggingface.co/v1/",
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+ api_key=ACCESS_TOKEN,
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+ )
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  def respond(
13
  message,
 
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  messages.append({"role": "user", "content": message})
29
 
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  response = ""
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+
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+ for message in client.chat.completions.create(
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+ model="NousResearch/Hermes-3-Llama-3.1-8B",
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  max_tokens=max_tokens,
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  stream=True,
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  temperature=temperature,
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  top_p=top_p,
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+ messages=messages,
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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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+ chatbot = gr.Chatbot(height=600)
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  demo = gr.ChatInterface(
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  respond,
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  additional_inputs=[
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+ gr.Textbox(value="", label="System message"),
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  gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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  gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
53
  gr.Slider(
 
55
  maximum=1.0,
56
  value=0.95,
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  step=0.05,
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+ label="Top-P",
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  ),
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+
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  ],
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+ fill_height=True,
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+ chatbot=chatbot,
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+ theme="Nymbo/Alyx_Theme",
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  )
 
 
66
  if __name__ == "__main__":
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+ demo.launch()