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from huggingface_hub import InferenceClient
import gradio as gr
import time
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
# Your system prompt
SYSTEM_PROMPT = "You are a Prompt Generator you work is to generate prompt based on this input"
def format_prompt(message, history=[]):
prompt = "<s>"
prompt += f"[INST] SYSTEM: {SYSTEM_PROMPT} [/INST]" # Add the system prompt here
for user_prompt, bot_response in history:
prompt += f"[INST] {user_prompt} [/INST]"
prompt += f" {bot_response}</s> "
# Append the user message as the last entry in the prompt history
prompt += f"[INST] {message} [/INST]</s>"
return prompt
def generate(prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
temperature = float(temperature)
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,
)
formatted_prompt = format_prompt(prompt)
stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
output = ""
for response in stream:
output += response.token.text
yield output.strip('</s>')
return output.strip('</s>')
with gr.Blocks() as demo:
input_text = gr.Textbox(placeholder="Enter your prompt here...", lines=2, max_lines=2, label="Prompt")
submit_button = gr.Button("Generate")
output_text = gr.Textbox(label="Output", interactive=True, lines=10)
submit_button.click(fn=generate, inputs=input_text, outputs=output_text)
demo.launch()
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