i

app.py

@@ -1,4 +1,3 @@
-import openai
 import os
 import re
 from datetime import datetime
@@ -18,12 +17,6 @@ model_dir = "model"
 model, tokenizer = load_model_tokenizer_for_generate(model_dir)
 
 def get_completion(prompt, model="dolly-v0-70m"):
-    messages = [{"role": "user", "content": prompt}]
-    response = openai.ChatCompletion.create(
-        model=model,
-        messages=messages,
-        temperature=0, # this is the degree of randomness of the model's output
-	)
 	# Examples from https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html
 	instructions = [prompt]
 	# set some additional pipeline args