[new] streamlit deployment (#1034)
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@@ -98,6 +98,11 @@ def setup_render_com_app():
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)
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def setup_streamlit_io_app():
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# nothing needs to be done here
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console.print("Great! Now you can install the dependencies by doing `pip install -r requirements.txt`")
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@cli.command()
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@click.option("--template", default="fly.io", help="The template to use.")
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@click.argument("extra_args", nargs=-1, type=click.UNPROCESSED)
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@@ -113,6 +118,8 @@ def create(template, extra_args):
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setup_modal_com_app(extra_args)
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elif template == "render.com":
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setup_render_com_app()
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elif template == "streamlit.io":
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setup_streamlit_io_app()
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else:
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raise ValueError(f"Unknown template '{template}'.")
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@@ -152,6 +159,16 @@ def run_dev_modal_com():
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console.print("\n🛑 [bold yellow]FastAPI server stopped[/bold yellow]")
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def run_dev_streamlit_io():
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streamlit_run_cmd = ["streamlit", "run", "app.py"]
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try:
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console.print(f"🚀 [bold cyan]Running Streamlit app with command: {' '.join(streamlit_run_cmd)}[/bold cyan]")
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subprocess.run(streamlit_run_cmd, check=True)
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except subprocess.CalledProcessError as e:
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console.print(f"❌ [bold red]An error occurred: {e}[/bold red]")
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except KeyboardInterrupt:
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console.print("\n🛑 [bold yellow]Streamlit server stopped[/bold yellow]")
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def run_dev_render_com(debug, host, port):
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uvicorn_command = ["uvicorn", "app:app"]
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@@ -186,6 +203,8 @@ def dev(debug, host, port):
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run_dev_modal_com()
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elif template == "render.com":
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run_dev_render_com(debug, host, port)
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elif template == "streamlit.io":
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run_dev_streamlit_io()
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else:
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raise ValueError(f"Unknown template '{template}'.")
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@@ -260,6 +279,26 @@ def deploy_modal():
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)
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def deploy_streamlit():
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streamlit_deploy_cmd = ["streamlit", "run", "app.py"]
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try:
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console.print(f"🚀 [bold cyan]Running: {' '.join(streamlit_deploy_cmd)}[/bold cyan]")
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console.print(
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"""\n\n✅ [bold yellow]To deploy a streamlit app, you can directly it from the UI.\n
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Click on the 'Deploy' button on the top right corner of the app.\n
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For more information, please refer to https://docs.embedchain.ai/deployment/streamlit_io
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[/bold yellow]
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\n\n"""
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)
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subprocess.run(streamlit_deploy_cmd, check=True)
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except subprocess.CalledProcessError as e:
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console.print(f"❌ [bold red]An error occurred: {e}[/bold red]")
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except FileNotFoundError:
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console.print(
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"""❌ [bold red]'streamlit' command not found.\n
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Please ensure Streamlit CLI is installed and in your PATH.[/bold red]"""
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)
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def deploy_render():
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render_deploy_cmd = ["render", "blueprint", "launch"]
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@@ -290,5 +329,7 @@ def deploy():
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deploy_modal()
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elif template == "render.com":
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deploy_render()
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elif template == "streamlit.io":
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deploy_streamlit()
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else:
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console.print("❌ [bold red]No recognized deployment platform found.[/bold red]")
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@@ -0,0 +1 @@
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OPENAI_API_KEY="sk-xxx"
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59
embedchain/deployment/streamlit.io/app.py
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59
embedchain/deployment/streamlit.io/app.py
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@@ -0,0 +1,59 @@
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import streamlit as st
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from embedchain import Pipeline as App
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@st.cache_resource
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def embedchain_bot():
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return App()
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st.title("💬 Chatbot")
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st.caption("🚀 An Embedchain app powered by OpenAI!")
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if "messages" not in st.session_state:
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st.session_state.messages = [
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{
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"role": "assistant",
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"content": """
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Hi! I'm a chatbot. I can answer questions and learn new things!\n
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Ask me anything and if you want me to learn something do `/add <source>`.\n
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I can learn mostly everything. :)
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""",
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}
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]
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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if prompt := st.chat_input("Ask me anything!"):
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app = embedchain_bot()
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if prompt.startswith("/add"):
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with st.chat_message("user"):
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st.markdown(prompt)
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st.session_state.messages.append({"role": "user", "content": prompt})
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prompt = prompt.replace("/add", "").strip()
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with st.chat_message("assistant"):
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message_placeholder = st.empty()
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message_placeholder.markdown("Adding to knowledge base...")
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app.add(prompt)
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message_placeholder.markdown(f"Added {prompt} to knowledge base!")
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st.session_state.messages.append({"role": "assistant", "content": f"Added {prompt} to knowledge base!"})
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st.stop()
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with st.chat_message("user"):
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st.markdown(prompt)
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("assistant"):
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msg_placeholder = st.empty()
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msg_placeholder.markdown("Thinking...")
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full_response = ""
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for response in app.chat(prompt):
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msg_placeholder.empty()
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full_response += response
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msg_placeholder.markdown(full_response)
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st.session_state.messages.append({"role": "assistant", "content": full_response})
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2
embedchain/deployment/streamlit.io/requirements.txt
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2
embedchain/deployment/streamlit.io/requirements.txt
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@@ -0,0 +1,2 @@
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streamlit==1.29.0
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embedchain
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