add janky api key flow

app.py

@@ -5,19 +5,30 @@ from langchain.chains.question_answering import load_qa_chain
 from langchain.llms import OpenAI
 import os
 
+setup_complete = False
+
 with open("guide1.txt") as f:
     hitchhikersguide = f.read()
 
 text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0, separator = "\n")
 texts = text_splitter.split_text(hitchhikersguide)
 
-embeddings = OpenAIEmbeddings()
-
-docsearch = Chroma.from_texts(texts, embeddings, metadatas=[{"source": str(i)} for i in range(len(texts))]).as_retriever()
+def get_api_key(input_1, input_2):
+    if len(input_1) > 0:
+        os.environ['OPENAI_API_KEY'] = input_1
+    elif len(input_2) > 0:
+        os.environ['OPENAI_API_KEY'] = input_2
+    return True
 
-chain = load_qa_chain(OpenAI(temperature=0), chain_type="stuff")
+def setup_chain():
+    global embeddings, docsearch, chain
+    embeddings = OpenAIEmbeddings()
+    docsearch = Chroma.from_texts(texts, embeddings, metadatas=[{"source": str(i)} for i in range(len(texts))]).as_retriever()
+    chain = load_qa_chain(OpenAI(temperature=0), chain_type="stuff")
 
 def make_inference(query):
+    if not setup_complete:
+        setup_chain()
     docs = docsearch.get_relevant_documents(query)
     return(chain.run(input_documents=docs, question=query))
 
@@ -33,4 +44,4 @@ if __name__ == "__main__":
         gr.outputs.Textbox(label="Response"),
         title="Query Hitchhiker's Guide",
         description="See title. What would Douglas Adams say if he saw you query The Hitchhiker's Guide to the Galaxy with AI?",
-    ).launch()
+    ).launch(auth=get_api_key)