add background thread to gradio

other/gradio/gradio_chat.py

@@ -1,22 +1,48 @@
 import os
 import sys
+import time
+import traceback
 import warnings
+from threading import Thread
 
 import gradio as gr
 import openai
+import requests
 
 warnings.filterwarnings("ignore")
 
 API_BASE = os.getenv('API_BASE')
 if not API_BASE:
-    print('Must set the secret variable API_BASE to your https://your-site/api/openai/v1')
+    print('Must set the secret variable API_BASE to your https://your-site/api')
     sys.exit(1)
-
-BACKUP_API_BASE = os.getenv('BACKUP_API_BASE')
-if BACKUP_API_BASE:
-    print('Using BACKUP_API_BASE:', BACKUP_API_BASE)
+API_BASE = API_BASE.strip('/')
 
 APP_TITLE = os.getenv('APP_TITLE')
+PRIMARY_MODEL_CHOICE = os.getenv('PRIMARY_MODEL_CHOICE')
+
+
+def background():
+    while True:
+        previous = openai.api_base
+        try:
+            r = requests.get(API_BASE + '/stats').json()
+            if PRIMARY_MODEL_CHOICE in r['models']['choices'].keys():
+                openai.api_base = API_BASE + '/openai/' + PRIMARY_MODEL_CHOICE + '/v1'
+            else:
+                openai.api_base = API_BASE + '/openai/v1'
+        except:
+            traceback.print_exc()
+            openai.api_base = API_BASE + '/openai/v1'
+        if openai.api_base != previous:
+            print('Set primary model to', openai.api_base)
+        time.sleep(10)
+
+
+if PRIMARY_MODEL_CHOICE:
+    t = Thread(target=background)
+    t.daemon = True
+    t.start()
+    print('Started the background thread.')
 
 # A system prompt can be injected into the very first spot in the context.
 # If the user sends a message that contains the CONTEXT_TRIGGER_PHRASE,
@@ -26,7 +52,7 @@ CONTEXT_TRIGGER_PHRASE = os.getenv('CONTEXT_TRIGGER_PHRASE')
 CONTEXT_TRIGGER_INJECTION = os.getenv('CONTEXT_TRIGGER_INJECTION')
 
 openai.api_key = 'null'
-openai.api_base = API_BASE
+openai.api_base = API_BASE + '/openai/v1'
 
 
 def stream_response(prompt, history):
@@ -43,7 +69,6 @@ def stream_response(prompt, history):
     if do_injection or (CONTEXT_TRIGGER_INJECTION and CONTEXT_TRIGGER_PHRASE in prompt):
         messages.insert(0, {'role': 'system', 'content': CONTEXT_TRIGGER_INJECTION})
 
-    for _ in range(2):
     try:
         response = openai.ChatCompletion.create(
             model='0',
@@ -52,14 +77,9 @@ def stream_response(prompt, history):
             max_tokens=300,
             stream=True
         )
-            break
     except Exception:
-            openai.api_base = BACKUP_API_BASE
         raise gr.Error("Failed to reach inference endpoint.")
 
-    # Go back to the default endpoint
-    openai.api_base = API_BASE
-
     message = ''
     for chunk in response:
         if len(chunk['choices'][0]['delta']) != 0:

other/gradio/requirements.txt

@@ -0,0 +1,3 @@
+gradio
+openai
+requests