Initial commit

README.md

@@ -1,12 +1,12 @@
+
 ---
-title: SauerkrautLM Interface
+title: SauerkrautLM-Interface
 emoji: 🔥
-colorFrom: blue
+colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 4.12.0
-app_file: app.py
+sdk_version: 3.47.1
+app_file: run.py
 pinned: false
+hf_oauth: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,3 @@
+llama-cpp-python[server]
+chromadb
+sentence_transformers

run.py

@@ -0,0 +1,87 @@
+#########################################################################################
+# Title:  Gradio Interface to SauerkrautLM-Chatbot on premises 
+# Author: Andreas Fischer
+# Date:   December 29th, 2023
+# Last update: December 29th, 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="SauerkrautLM-7B-HerO-GGUF Chat").queue().launch(share=True) #False, server_name="0.0.0.0", server_port=7864)
+print("Interface up and running!")