diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..10841f1
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+.pytest*
+__pycache__
diff --git a/.vscode/launch.json b/.vscode/launch.json
new file mode 100644
index 0000000..aeed5c6
--- /dev/null
+++ b/.vscode/launch.json
@@ -0,0 +1,19 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Streamlit",
+            "type": "python",
+            "request": "launch",
+            "module": "streamlit",
+            "args": [
+                "run",
+                "${file}",
+            ],
+            "justMyCode": true
+        }
+    ]
+}
\ No newline at end of file
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..3a98464
--- /dev/null
+++ b/README.md
@@ -0,0 +1,21 @@
+# streamlit-examples
+
+A couple of AI demo applications built with [Streamlit](https://streamlit.io/):
+
+[chat.py](./streamlit_examples/chat.py) - Let's the user upload PDF documents and chat with them using LlamaIndex. Supports multiple users and streaming.
+
+## Getting Started
+
+This project is using poetry for dependency management. To install the dependencies, and setup the environment, run the following commands:
+
+```bash
+# poetry install
+# poetry shell
+```
+
+You can then run any of the examples by running:
+
+```bash
+# streamlit run streamlit_examples/chat.py
+```
+
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..262612a
--- /dev/null
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+multidict = ">=4.0"
+
+[[package]]
+name = "zipp"
+version = "3.16.2"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
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+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.11"
+content-hash = "6845b8c3a1acce1b8f36651ceee4f14510d5cb4c3f5783c4bb77c8d19de0ddc9"
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..4389927
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,24 @@
+[tool.poetry]
+name = "streamlit-examples"
+version = "0.1.0"
+description = ""
+authors = ["Marcus Schiesser <mail@marcusschiesser.de>"]
+readme = "README.md"
+packages = [{ include = "streamlit_examples" }]
+
+[tool.poetry.dependencies]
+python = "^3.11"
+llama-index = "^0.8.24.post1"
+llama-cpp-python = "^0.1.84"
+streamlit = "^1.26.0"
+pypdf = "^3.16.0"
+
+
+[tool.poetry.group.dev.dependencies]
+black = "^23.9.1"
+autoflake = "^2.2.1"
+pytest = "^7.4.2"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/streamlit_examples/__init__.py b/streamlit_examples/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/streamlit_examples/chat.py b/streamlit_examples/chat.py
new file mode 100644
index 0000000..f6a677c
--- /dev/null
+++ b/streamlit_examples/chat.py
@@ -0,0 +1,51 @@
+import streamlit as st
+
+from llama_index import (
+    OpenAIEmbedding,
+    ServiceContext,
+    set_global_service_context,
+)
+from llama_index.llms import OpenAI
+from streamlit_examples.utils.llamaindex import build_index, handle_stream
+
+from streamlit_examples.utils.streamlit import (
+    get_key,
+    render_message,
+    upload_files,
+)
+
+st.title("Chat with Documents")
+
+openai_api_key = get_key()
+
+# Define service-context
+llm = OpenAI(temperature=0.1, model="gpt-3.5-turbo", api_key=openai_api_key)
+embed_model = OpenAIEmbedding(api_key=openai_api_key)
+service_context = ServiceContext.from_defaults(llm=llm, embed_model=embed_model)
+set_global_service_context(service_context)
+
+# Upload PDFs
+pdfs = upload_files(type="pdf", accept_multiple_files=True)
+
+index = build_index(pdfs)
+query_engine = index.as_chat_engine(chat_mode="condense_question", streaming=True)
+
+messages = st.session_state.get("messages", [])
+
+if not messages:
+    messages.append({"role": "assistant", "text": "Hi!"})
+
+for message in messages:
+    render_message(message)
+
+if user_query := st.chat_input():
+    message = {"role": "user", "text": user_query}
+    messages.append(message)
+    render_message(message)
+
+    with st.chat_message("assistant"):
+        stream = query_engine.stream_chat(user_query)
+        text = handle_stream(st.empty(), stream)
+        message = {"role": "assistant", "text": text}
+        messages.append(message)
+        st.session_state.messages = messages
diff --git a/streamlit_examples/utils/__init__.py b/streamlit_examples/utils/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/streamlit_examples/utils/llamaindex.py b/streamlit_examples/utils/llamaindex.py
new file mode 100644
index 0000000..3043a18
--- /dev/null
+++ b/streamlit_examples/utils/llamaindex.py
@@ -0,0 +1,20 @@
+from llama_index.chat_engine.types import StreamingAgentChatResponse
+import streamlit as st
+from llama_index import SimpleDirectoryReader, VectorStoreIndex
+
+
+# TODO: this is caching the resource globally, not per-session
+# Each user session should have their own index
+@st.cache_resource(show_spinner="Indexing documents...")
+def build_index(files):
+    documents = SimpleDirectoryReader(input_files=files).load_data()
+    return VectorStoreIndex.from_documents(documents)
+
+
+def handle_stream(root, stream: StreamingAgentChatResponse):
+    text = ""
+    root.markdown("Thinking...")
+    for token in stream.response_gen:
+        text += token
+        root.markdown(text)
+    return text
diff --git a/streamlit_examples/utils/streamlit.py b/streamlit_examples/utils/streamlit.py
new file mode 100644
index 0000000..7936928
--- /dev/null
+++ b/streamlit_examples/utils/streamlit.py
@@ -0,0 +1,40 @@
+import os
+import streamlit as st
+
+CACHE_DIR = "./uploads"
+
+
+def render_message(message):
+    with st.chat_message(message["role"]):
+        st.write(message["text"])
+
+
+def get_key():
+    if "openai_api_key" not in st.session_state:
+        openai_api_key = st.sidebar.text_input("OpenAI API Key", type="password")
+        if not openai_api_key:
+            st.info("Please add your OpenAI API key to continue.")
+            st.stop()
+        st.session_state["openai_api_key"] = openai_api_key
+    return st.session_state["openai_api_key"]
+
+
+def upload_files(type="pdf", **kwargs):
+    files = st.sidebar.file_uploader(
+        label=f"Upload {type.upper()} files", type=[type], **kwargs
+    )
+    if not files:
+        st.info(f"Please add {type.upper()} documents")
+        st.stop()
+    return cache_files(files, type=type)
+
+
+def cache_files(files, type="pdf") -> list[str]:
+    filepaths = []
+    for file in files:
+        filepath = f"{CACHE_DIR}/{file.file_id}.{type}"
+        if not os.path.exists(filepath):
+            with open(filepath, "wb") as f:
+                f.write(file.getbuffer())
+        filepaths.append(filepath)
+    return filepaths
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/test_utils.py b/tests/test_utils.py
new file mode 100644
index 0000000..83dce2f
--- /dev/null
+++ b/tests/test_utils.py
@@ -0,0 +1,42 @@
+import os
+from streamlit_examples.utils.streamlit import cache_files
+from streamlit.runtime.uploaded_file_manager import (
+    UploadedFile,
+    UploadedFileRec,
+    FileURLsProto,
+)
+
+
+def create_file(name, test_data):
+    file_id = f"{name}_file_id"
+    type = "text/plain"
+    record = UploadedFileRec(file_id=file_id, name=name, type=type, data=test_data)
+    file_urls = FileURLsProto()
+    return UploadedFile(record=record, file_urls=file_urls)
+
+
+def test_cache_file():
+    tc = [
+        {
+            "test": "test one file",
+            "files": [create_file("test.pdf", b"test content")],
+            "expected": [b"test content"],
+        },
+        {
+            "test": "test two files",
+            "files": [
+                create_file("test.pdf", b"test content"),
+                create_file("test2.pdf", b"test content 2"),
+            ],
+            "expected": [b"test content", b"test content 2"],
+        },
+    ]
+
+    for test in tc:
+        filepaths = cache_files(test["files"])
+        assert len(filepaths) == len(test["files"])
+        for i in range(len(filepaths)):
+            assert os.path.exists(filepaths[i])
+            with open(filepaths[i], "rb") as f:
+                assert f.read() == test["expected"][i]
+            os.remove(filepaths[i])
diff --git a/uploads/.gitignore b/uploads/.gitignore
new file mode 100644
index 0000000..a136337
--- /dev/null
+++ b/uploads/.gitignore
@@ -0,0 +1 @@
+*.pdf