Update app.py
Browse files
app.py
CHANGED
@@ -1,63 +1,12 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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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}]
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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})
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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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"""
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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(
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minimum=0.1,
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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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if __name__ == "__main__":
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import gradio as gr
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def reply(message, history):
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purged = client.purge_by_url([message])
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answer = str(purged.result())
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return answer
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Conversing = gr.ChatInterface(reply, chatbot=gr.Chatbot(height=600), retry_btn=None,theme=gr.themes.Monochrome(),
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title = 'Akamai Purge Cache', description = "Enter Brand.com URL for purging" ,undo_btn = None, clear_btn = None, css='footer {visibility: hidden}').launch()
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if __name__ == "__main__":
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Conversing.launch()
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