Add application file

app.py

@@ -0,0 +1,57 @@
+#!pip install openai langchain -q
+
+import os 
+import openai
+
+openai.api_key = "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"
+
+os.environ["OPENAI_API_KEY"] = openai.api_key 
+
+from IPython.display import display, Markdown
+
+def disp_markdown(text: str) -> None:
+  display(Markdown(text))
+
+
+from langchain.chat_models import ChatOpenAI
+from langchain.schema import HumanMessage
+
+chat_model = ChatOpenAI(model_name="gpt-3.5-turbo")
+
+#!wget https://huggingface.co/spaces/JuanKO/question_my_doc/blob/main/thelittleprince.txt
+
+with open("thelittleprince.txt") as f:
+    thelittleprince = f.read()
+
+from langchain.text_splitter import CharacterTextSplitter
+
+text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0, separator = ".")
+texts = text_splitter.split_text(thelittleprince)
+
+from langchain.embeddings.openai import OpenAIEmbeddings
+
+os.environ["OPENAI_API_KEY"] = openai.api_key
+
+embeddings = OpenAIEmbeddings()
+
+#!pip install tiktoken -q
+#!pip install chromadb tiktoken -q
+
+from langchain.vectorstores import Chroma
+
+docsearch = Chroma.from_texts(texts, embeddings, metadatas=[{"source": str(i)} for i in range(len(texts))]).as_retriever() # YOUR CODE HERE
+
+
+
+from langchain.chains.question_answering import load_qa_chain
+from langchain.llms import OpenAI
+
+
+query = "Who was the little prince?"
+docs = docsearch.get_relevant_documents(query) # YOUR CODE HERE
+chain =load_qa_chain(OpenAI(temperature=0), chain_type="stuff")
+
+# run the chain
+# YOUR CODE HERE
+chain.run(input_documents=docs, question=query)
+