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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) | |