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import gradio as gr
import os
import requests
import openai
def greet(modelpath1="",modelpath2="",modelpath3="",modelpath4="",modelpath5=""):
names = [modelpath1,modelpath2,modelpath3,modelpath4,modelpath5]
names = [name for name in names if name != ""]
if names == []:
return "Please enter at least one model name."
if len(names) < 2:
return "Please enter at least 2 model names."
urls = []
for name in names:
if name in ["meta-llama/Llama-2-7b-hf","meta-llama/Llama-2-13b-hf","meta-llama/Llama-2-70b-hf","meta-llama/Llama-2-7b-chat-hf","meta-llama/Llama-2-13b-chat-hf","meta-llama/Llama-2-70b-chat-hf","stabilityai/japanese-stablelm-instruct-alpha-7b","tiiuae/falcon-180B"]:
urls.append("https://huggingface.co/spaces/gojiteji/LLM-Comparer/raw/main/" + name + "/config.json")
else:
urls.append("https://huggingface.co/" + name + "/raw/main/config.json")
configs = []
index_to_ignore =[]
for i in range(len(urls)):
get_result = requests.get(urls[i])
if get_result.status_code == 200:
configs.append(get_result.json())
else:
configs.append("")
index_to_ignore.append(i)
if configs == []:
return "Could not find any models. Please check the model name."
gpt_input = ""
gpt_input += os.environ["prompts"]+os.environ["prompts2"] +"\n\n"
for i in range(len(names)):
if i not in index_to_ignore:
gpt_input += "modelname: " + names[i] + "\n" + " config file:" + str(configs[i]) + "\n\n"
openai.api_key = os.environ["APIKEY"]
respose = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{
"role": "system",
"content": gpt_input
},
],
)
response_text = ""
for i in index_to_ignore:
response_text += "- **⚠️Config file inaccessible:** " + names[i] +"\n"
table_text = respose["choices"][0]["message"]["content"]
# get the first | to the last |
response_text += "\n"+table_text[table_text.find("|")+1:table_text.rfind("|")+1]
return response_text
text1 = gr.inputs.Textbox(placeholder="ower/modelname1", label="Input modelname like meta-llama/Llama-2-70b-hf",lines=1,optional=False)
text2 = gr.inputs.Textbox(placeholder="ower/modelname2", label="model 2",lines=1,optional=False)
text3 = gr.inputs.Textbox(placeholder="ower/modelname3", label="model 3",lines=1,optional=True)
text4 = gr.inputs.Textbox(placeholder="ower/modelname4", label="model 4",lines=1,optional=True)
if __name__ == '__main__':
interFace = gr.Interface(fn=greet,
inputs=[text1,text2,text3,text4],
outputs=[gr.Markdown(value="")],
title="LLM Comparer⚖️",
description="Plsease copy and paste the owner name / model name from the Hugging Face model hub.\n The same input can produce different results, so please resubmit if the results are not ideal.",
theme='finlaymacklon/smooth_slate',
allow_flagging=False,
)
interFace.launch(share=False,enable_queue=False)
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