File size: 1,936 Bytes
7fb34cb 44ec924 7fb34cb 10fc934 eb06283 09e3b00 b98542d a3b4967 b98542d a3b4967 b98542d a3b4967 09e3b00 a3b4967 09e3b00 a3b4967 09e3b00 0573666 09e3b00 |
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 |
import gradio as gr
import os
from openai import OpenAI
OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')
openai_client = OpenAI(api_key=OPENAI_API_KEY)
DEEPSEEK_API_KEY = os.getenv("DEEPSEEK_API_KEY")
deepseek_client = OpenAI(api_key=DEEPSEEK_API_KEY, base_url="https://api.deepseek.com")
def generate_response(provider, prompt, temperature, top_p, max_tokens, repetition_penalty):
try:
# 强化 provider 类型处理
provider = str(provider).lower().strip()
if provider == "openai":
model = "gpt-3.5-turbo"
client = openai_client
elif provider == "deepseek":
model = "deepseek-chat"
client = deepseek_client
else:
return f"Invalid provider: {provider}"
response = client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": prompt}],
temperature=temperature,
top_p=top_p,
max_tokens=max_tokens,
presence_penalty=repetition_penalty,
stream=False
)
return response.choices[0].message.content.strip()
except Exception as e:
return f"{provider.title()} API Error: {str(e)}"
iface = gr.Interface(
fn=generate_response,
inputs=[
gr.Dropdown(choices=["DeepSeek", "OpenAI"], value="DeepSeek", label="Model Provider"),
gr.Textbox(label="Prompt", lines=6, placeholder="Ask something..."),
gr.Slider(minimum=0.1, maximum=1.5, value=0.7, step=0.1, label="Temperature"),
gr.Slider(minimum=0.1, maximum=1.0, value=0.9, step=0.05, label="Top-p"),
gr.Slider(minimum=32, maximum=2048, value=512, step=32, label="Max New Tokens"),
gr.Slider(minimum=1.0, maximum=2.0, value=1.1, step=0.1, label="Repetition Penalty")
],
outputs="text",
title="🧠 DeepSeek LLM Chat with Parameter Tuning",
theme=gr.themes.Soft()
)
iface.launch() |