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#########################################################################################
# Title: Gradio Interface to SauerkrautLM-Chatbot on premises
# Author: Andreas Fischer
# Date: December 29th, 2023
# Last update: December 31th, 2023
##########################################################################################
# Get model
#-----------
import os
import requests
modelPath="/home/af/gguf/models/SauerkrautLM-7b-HerO-q8_0.gguf"
if(os.path.exists(modelPath)==False):
#url="https://huggingface.co/TheBloke/WizardLM-13B-V1.2-GGUF/resolve/main/wizardlm-13b-v1.2.Q4_0.gguf"
#url="https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF/resolve/main/mistral-7b-instruct-v0.2.Q4_0.gguf?download=true"
#url="https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF/resolve/main/mixtral-8x7b-instruct-v0.1.Q4_0.gguf?download=true"
#url="https://huggingface.co/TheBloke/SauerkrautLM-UNA-SOLAR-Instruct-GGUF/resolve/main/sauerkrautlm-una-solar-instruct.Q4_0.gguf?download=true"
#url="https://huggingface.co/TheBloke/SauerkrautLM-7B-v1-GGUF/resolve/main/sauerkrautlm-7b-v1.Q4_0.gguf?download=true"
#url="https://huggingface.co/TheBloke/SauerkrautLM-3B-v1-GGUF/resolve/main/sauerkrautlm-3b-v1.Q4_0.gguf?download=true"
url="https://huggingface.co/TheBloke/SauerkrautLM-7B-HerO-GGUF/resolve/main/sauerkrautlm-7b-hero.Q4_0.gguf?download=true"
response = requests.get(url)
with open("./model.gguf", mode="wb") as file:
file.write(response.content)
print("Model downloaded")
modelPath="./model.gguf"
print(modelPath)
# Llama-cpp-Server
#------------------
import subprocess
command = ["python3", "-m", "llama_cpp.server", "--model", modelPath, "--host", "0.0.0.0", "--port", "2600", "--n_threads", "4"]
subprocess.Popen(command)
print("Server ready!")
# Gradio-GUI
#------------
import gradio as gr
import requests
import json
def response(message, history):
addon=""
url="http://localhost:2600/v1/completions"
system="Du bist ein KI-basiertes Assistenzsystem."+addon+"\n\nUser-Anliegen:"
#body={"prompt":f"{system} USER: {message} ASSISTANT:","max_tokens":500, "echo":"False","stream":"True"} #e.g., WizardLM-13B-v1.2
#body={"prompt":f"[INST]{system}\n{message}[/INST]","max_tokens":500, "echo":"False","stream":"True"} #e.g. Mixtral-Instruct
#body={"prompt":f"{system} ### Instruktion:\n{message}\n\n### Antwort:","max_tokens":500, "echo":"False","stream":"True"} #e.g. SauerkrautLM
body={"prompt":f"<|im_start|>system\n{system}<|im_end|>\n<|im_start|>user\n{message}<|im_end|>\n<|im_start|>assistant\n",
"max_tokens":500, "echo":"False","stream":"True"} #e.g. SauerkrautLM-7B-HerO
response=""
buffer=""
print("URL: "+url)
print(str(body))
print("User: "+message+"\nAI: ")
for text in requests.post(url, json=body, stream=True): #-H 'accept: application/json' -H 'Content-Type: application/json'
if buffer is None: buffer=""
buffer=str("".join(buffer))
#print("*** Raw String: "+str(text)+"\n***\n")
text=text.decode('utf-8')
if((text.startswith(": ping -")==False) & (len(text.strip("\n\r"))>0)): buffer=buffer+str(text)
#print("\n*** Buffer: "+str(buffer)+"\n***\n")
buffer=buffer.split('"finish_reason": null}]}')
if(len(buffer)==1):
buffer="".join(buffer)
pass
if(len(buffer)==2):
part=buffer[0]+'"finish_reason": null}]}'
if(part.lstrip('\n\r').startswith("data: ")): part=part.lstrip('\n\r').replace("data: ", "")
try:
part = str(json.loads(part)["choices"][0]["text"])
print(part, end="", flush=True)
response=response+part
buffer="" # reset buffer
except Exception as e:
print("Exception:"+str(e))
pass
yield response
gr.ChatInterface(response, chatbot=gr.Chatbot(render_markdown=True),title="German SauerkrautLM-7B-HerO-GGUF Chat").queue().launch(share=True) #False, server_name="0.0.0.0", server_port=7864)
print("Interface up and running!")
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