Create app.py

app.py

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+import streamlit as st 
+from langchain_community.llms import HuggingFaceTextGenInference
+import os
+from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
+from langchain.schema import StrOutputParser
+
+from custom_llm import CustomLLM, CustomChainWithHistory
+
+
+API_TOKEN = os.getenv('HF_INFER_API')
+
+#API_URL = "https://api-inference.huggingface.co/models/gpt2"
+
+from typing import Optional
+
+from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
+from langchain_community.chat_models import ChatAnthropic
+from langchain_core.chat_history import BaseChatMessageHistory
+from langchain.memory import ConversationBufferMemory
+from langchain_core.runnables.history import RunnableWithMessageHistory
+
+
+if 'memory' not in st.session_state:
+    st.session_state['memory'] = ConversationBufferMemory(return_messages=True)
+
+if 'chain' not in st.session_state:
+    st.session_state['chain'] = CustomChainWithHistory(llm=CustomLLM(repo_id="mistralai/Mixtral-8x7B-Instruct-v0.1", model_type='text-generation', api_token=API_TOKEN, stop=["\n<|"]), memory=memory)
+
+st.title("Chat With Me")
+st.subheader("by Jonathan Jordan")
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# React to user input
+if prompt := st.chat_input("Ask me anything.."):
+    # Display user message in chat message container
+    st.chat_message("User").markdown(prompt)
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "User", "content": prompt})
+
+    response = st.session_state.chain.invoke({"question":prompt},
+                                  config={"configurable": {"session_id": "foobar"}},)
+
+    # Display assistant response in chat message container
+    with st.chat_message("Jojo"):
+        st.markdown(response)
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "Jojo", "content": response})
+