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from huggingface_hub import InferenceClient
import gradio as gr
client = InferenceClient(
model="https://qynvq9pllv2plc0v.us-east-1.aws.endpoints.huggingface.cloud"
)
def format_prompt(message, history):
prompt = ""
for user_prompt, bot_response in history:
prompt += f"GPT4 Correct User: {user_prompt}<|end_of_turn|>GPT4 Correct Assistant: {bot_response}<|end_of_turn|>"
prompt += f"GPT4 Correct User: {message}<|end_of_turn|>GPT4 Correct Assistant:"
return prompt
def generate(
prompt, history, temperature=0.9, max_new_tokens=1024, top_p=0.95, repetition_penalty=1.0,
):
temperature = float(temperature)
if temperature < 1e-2:
temperature = 1e-2
top_p = float(top_p)
generate_kwargs = dict(
temperature=temperature,
max_new_tokens=max_new_tokens,
top_p=top_p,
repetition_penalty=repetition_penalty,
do_sample=True,
seed=42,
)
formatted_prompt = format_prompt(f"{prompt}", history)
stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
output = ""
for response in stream:
if response.token.text=="<|end_of_turn|>":
break
output += response.token.text
yield output
return output
additional_inputs=[
gr.Slider(
label="Temperature",
value=0.1,
minimum=0.0,
maximum=1.0,
step=0.05,
interactive=True,
info="Higher values produce more diverse outputs",
),
gr.Slider(
label="Max new tokens",
value=1024,
minimum=0,
maximum=1048,
step=64,
interactive=True,
info="The maximum numbers of new tokens",
),
gr.Slider(
label="Top-p (nucleus sampling)",
value=0.90,
minimum=0.0,
maximum=1,
step=0.05,
interactive=True,
info="Higher values sample more low-probability tokens",
),
gr.Slider(
label="Repetition penalty",
value=1.2,
minimum=1.0,
maximum=2.0,
step=0.05,
interactive=True,
info="Penalize repeated tokens",
)
]
examples=[["what is self realization according to bhagwan ramana maharishi", None, None, None, None, None, ],
["How does the teaching of bhagwan ramana maharishi hold good in the bay area for an aspiring startup founder", None, None, None, None, None,],
["How to teach a 8 year old about ramana maharishi's teaching", None, None, None, None, None,],
["why don't have the realization of the self like ramana maharishi as a default feature in us , is it not very inefficient for us to realize over the adulthood?", None, None, None, None, None,],
]
gr.ChatInterface(
fn=generate,
chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
additional_inputs=additional_inputs,
title="Starling Beta (Research Preview can make mistakes)",
examples=examples,
concurrency_limit=50,
).launch(show_api=False) |