[new] streamlit deployment (#1034)

embedchain/deployment/streamlit.io/.streamlit/secrets.toml

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+OPENAI_API_KEY="sk-xxx"

embedchain/deployment/streamlit.io/app.py

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+import streamlit as st
+
+from embedchain import Pipeline as App
+
+
+@st.cache_resource
+def embedchain_bot():
+    return App()
+
+
+st.title("💬 Chatbot")
+st.caption("🚀 An Embedchain app powered by OpenAI!")
+if "messages" not in st.session_state:
+    st.session_state.messages = [
+        {
+            "role": "assistant",
+            "content": """
+        Hi! I'm a chatbot. I can answer questions and learn new things!\n
+        Ask me anything and if you want me to learn something do `/add <source>`.\n
+        I can learn mostly everything. :)
+        """,
+        }
+    ]
+
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+if prompt := st.chat_input("Ask me anything!"):
+    app = embedchain_bot()
+
+    if prompt.startswith("/add"):
+        with st.chat_message("user"):
+            st.markdown(prompt)
+            st.session_state.messages.append({"role": "user", "content": prompt})
+        prompt = prompt.replace("/add", "").strip()
+        with st.chat_message("assistant"):
+            message_placeholder = st.empty()
+            message_placeholder.markdown("Adding to knowledge base...")
+            app.add(prompt)
+            message_placeholder.markdown(f"Added {prompt} to knowledge base!")
+            st.session_state.messages.append({"role": "assistant", "content": f"Added {prompt} to knowledge base!"})
+            st.stop()
+
+    with st.chat_message("user"):
+        st.markdown(prompt)
+        st.session_state.messages.append({"role": "user", "content": prompt})
+
+    with st.chat_message("assistant"):
+        msg_placeholder = st.empty()
+        msg_placeholder.markdown("Thinking...")
+        full_response = ""
+
+        for response in app.chat(prompt):
+            msg_placeholder.empty()
+            full_response += response
+
+        msg_placeholder.markdown(full_response)
+        st.session_state.messages.append({"role": "assistant", "content": full_response})

embedchain/deployment/streamlit.io/requirements.txt

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+streamlit==1.29.0
+embedchain