import prompts from private github repo

.ipynb_checkpoints/app-checkpoint.py

@@ -0,0 +1,8 @@
+import os
+import gradio as gr
+
+HF_Hub_API_token = os.environ.get('HF_Hub_API_token', None)
+import gradio as gr
+
+demo = gr.load("gaelhuser/patent_gen_prv", hf_token=HF_Hub_API_token, src="spaces")
+demo.launch()

app.py

@@ -17,6 +17,7 @@ from langchain.memory import ConversationBufferWindowMemory
 
 import os
 HF_Hub_API_token = os.environ.get('HF_Hub_API_token', None)
+github_token = os.environ.get('github_token', None)
 
 llm = HuggingFaceEndpoint(
     repo_id="mistralai/Mistral-7B-Instruct-v0.2",
@@ -30,7 +31,15 @@ llm = HuggingFaceEndpoint(
 memory = ConversationBufferMemory()
 conversation = ConversationChain(llm=llm, verbose=False, memory=memory)
 
-from prompts import *
+
+# import remote
+from git import Repo
+
+if not os.path.exists('repo_directory'):  
+    Repo.clone_from(f'https://ghus75:{github_token}@github.com/ghus75/patent_gen.git', 'repo_directory'  )
+
+from repo_directory.gen_prompts import *
+
 
 patent_draft = [] # shared between all users !!
 trim = False#True
@@ -176,3 +185,4 @@ with gr.Blocks() as demo:
 
 demo.queue().launch()
 
+

requirements.txt

@@ -1,3 +1,4 @@
 langchain
 langchain-core
-langchain-huggingface
+langchain-huggingface
+GitPython