Spaces:
Running
Running
File size: 2,375 Bytes
7b4d2d2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
import gradio as gr
from openai import OpenAI
import os
# Initialize the OpenAI client
api_key = os.environ.get('HYPERBOLIC_API_KEY', 'your_default_api_key_here')
client = OpenAI(
base_url="https://api.hyperbolic.xyz/v1",
api_key=api_key,
)
def generate_completion(prompt, temperature, repetition_penalty, stop_phrase):
try:
completion = client.completions.create(
model="meta-llama/Meta-Llama-3.1-405B-FP8",
prompt=prompt,
temperature=temperature,
frequency_penalty=repetition_penalty,
max_tokens=2000,
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}\n{completion}".strip()
return new_prompt, "" # Return new prompt and empty completion
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=5, placeholder="Enter your prompt here...")
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=1.1, step=0.1, label="Repetition Penalty")
stop_phrase_input = gr.Textbox(label="Stop Phrase", placeholder="Enter stop phrase (optional)")
generate_button = gr.Button("Generate Completion")
output_text = gr.Textbox(label="Generated Completion", lines=10)
append_button = gr.Button("Append Completion to Prompt")
generate_button.click(
generate_completion,
inputs=[prompt_input, temperature_slider, repetition_penalty_slider, stop_phrase_input],
outputs=output_text
)
append_button.click(
append_completion,
inputs=[prompt_input, output_text],
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)
|