Terrence-Ubuntu commited on
Commit
a1e7e96
·
1 Parent(s): 8e5545e

Update Hugging Space

Browse files
Files changed (2) hide show
  1. app.py +38 -38
  2. requirements.txt +4 -1
app.py CHANGED
@@ -1,49 +1,50 @@
1
  import gradio as gr
2
- from huggingface_hub import InferenceClient
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-
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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")
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-
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-
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- def respond(
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- message,
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- history: list[tuple[str, str]],
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- system_message,
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- max_tokens,
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- temperature,
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- top_p,
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- ):
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- messages = [{"role": "system", "content": system_message}]
19
 
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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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- messages.append({"role": "user", "content": message})
 
27
 
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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,
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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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- response += token
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- yield response
 
 
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42
- """
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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"),
@@ -58,6 +59,5 @@ demo = gr.ChatInterface(
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  ],
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  )
60
 
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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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+ import os
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+ from openai import OpenAI
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+ from dotenv import load_dotenv
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ load_dotenv()
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+ api_key = os.getenv("OPENAI_API_KEY")
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+ client = OpenAI(api_key=api_key)
 
 
9
 
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+ # Initialize an empty history list
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+ history = []
12
 
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+ def get_response(message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p):
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+ # Prepare the messages for the API call
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+ messages = [{"role": "system", "content": system_message}]
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+
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+ for user_msg, ai_msg in history:
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+ if user_msg:
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+ messages.append({"role": "user", "content": user_msg})
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+ if ai_msg:
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+ messages.append({"role": "assistant", "content": ai_msg})
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+ messages.append({"role": "user", "content": message})
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+
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+ # Call OpenAI API
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+ response = client.chat.completions.create(
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+ model="gpt-4-turbo",
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+ messages=messages,
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  max_tokens=max_tokens,
 
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  temperature=temperature,
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+ top_p=top_p
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+ )
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+
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+ # Extract the response content
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+ ai_response = response.choices[0].message.content
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+
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+ # Append the new messages to the history
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+ history.append((message, ai_response))
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+ # Format the response for display
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+ response_text = "\n".join([f"User: {msg[0]}\nAI: {msg[1]}" for msg in history])
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+
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+ return response_text, history
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45
+ # Create the Gradio ChatInterface
 
 
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  demo = gr.ChatInterface(
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+ get_response,
48
  additional_inputs=[
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  gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
50
  gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
 
59
  ],
60
  )
61
 
 
62
  if __name__ == "__main__":
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+ demo.launch()
requirements.txt CHANGED
@@ -1 +1,4 @@
1
- huggingface_hub==0.22.2
 
 
 
 
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+ huggingface_hub==0.22.2
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+ gradio
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+ openai
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+ python-dotenv