Update app.py

app.py

@@ -2,8 +2,8 @@ import os
 import gradio as gr
 from langchain.llms import HuggingFaceHub
 
-model_repo = os.getenv('HF_MODEL_LLAMA_REPO')
-model_repo = os.getenv('HF_MODEL_STARCHAT_REPO')
+llama_repo = os.getenv('HF_MODEL_LLAMA_REPO')
+starchat_repo = os.getenv('HF_MODEL_STARCHAT_REPO')
 llamma_template = """[INST]<<SYS>>I want you to act as document language translator. You do translation {source} texts in document into then you return to me the translated document AND DO NOTHING ELSE.<</SYS>>
 Begin of the document:
 {query}
@@ -28,8 +28,8 @@ model_kwargs={
             "stop" : ["</s>","<|endoftext|>","<|end|>"],
             }
 
-llm1 = HuggingFaceHub(repo_id=model_repo, task="text-generation", model_kwargs=model_kwargs)
-llm2 = HuggingFaceHub(repo_id=model_repo, task="text-generation", model_kwargs=model_kwargs)
+llm1 = HuggingFaceHub(repo_id=llama_repo, task="text-generation", model_kwargs=model_kwargs)
+llm2 = HuggingFaceHub(repo_id=starchat_repo, task="text-generation", model_kwargs=model_kwargs)
 
 def translation(source, target, text):
     response = text