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import gradio as gr
from openai import OpenAI
import os
default_prompt = "The best thing about being a cat is"
# Initialize the OpenAI client
api_key = os.environ.get('HYPERBOLIC_API_KEY')
client = OpenAI(
base_url="https://api.hyperbolic.xyz/v1",
api_key=api_key,
)
def generate_completion(prompt, temperature, repetition_penalty, stop_phrase, max_tokens):
try:
completion = client.completions.create(
model="meta-llama/Meta-Llama-3.1-405B",
prompt=prompt,
temperature=temperature,
frequency_penalty=repetition_penalty,
max_tokens=max_tokens,
stop=[stop_phrase] if stop_phrase else None
)
return completion.choices[0].text.strip()
except Exception as e:
return f"An error occurred: {str(e)}"
def append_completion(prompt, completion):
new_prompt = f"{prompt}{completion}".strip()
return new_prompt, "" # Return new prompt and empty completion
def clear_fields():
return "", ""
with gr.Blocks(theme=gr.themes.Soft()) as iface:
gr.Markdown("# Llama 3.1 405B Completion Interface")
with gr.Row():
with gr.Column(scale=2):
prompt_input = gr.Textbox(label="Prompt", lines=6, value="The best thing about being a cat is")
with gr.Column(scale=1):
temperature_slider = gr.Slider(minimum=0, maximum=1, value=0.7, step=0.1, label="Temperature")
repetition_penalty_slider = gr.Slider(minimum=0, maximum=2, value=0.1, step=0.1, label="Repetition Penalty")
max_tokens_slider = gr.Slider(minimum=1, maximum=4000, value=250, step=1, label="Max Tokens")
stop_phrase_input = gr.Textbox(label="Stop Phrase", placeholder="Enter stop phrase (optional)")
with gr.Row():
generate_button = gr.Button("Generate Completion")
append_button = gr.Button("Append Completion to Prompt")
clear_button = gr.Button("Clear All Fields")
output_text = gr.Textbox(label="Generated Completion", lines=10)
generate_button.click(
generate_completion,
inputs=[prompt_input, temperature_slider, repetition_penalty_slider, stop_phrase_input, max_tokens_slider],
outputs=output_text
)
append_button.click(
append_completion,
inputs=[prompt_input, output_text],
outputs=[prompt_input, output_text]
)
clear_button.click(
clear_fields,
outputs=[prompt_input, output_text]
)
gr.Markdown("""
---
This interface is powered by the Llama 3.1 405B base model, served by [Hyperbolic](https://hyperbolic.xyz), The Open Access AI Cloud.
Thank you to Hyperbolic for making this base model available!
""")
iface.launch(share=True)
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