Update

app.py

@@ -1,42 +1,33 @@
+from openai import OpenAI
 import streamlit as st
-import random
-import time
 
-# Streamed response emulator
-def response_generator():
-    response = random.choice(
-        [
-            "Hello there! How can I assist you today?",
-            "Hi, human! Is there anything I can help you with?",
-            "Do you need help?",
-        ]
-    )
-    for word in response.split():
-        yield word + " "
-        time.sleep(0.05)
+st.title("ChatGPT-like clone")
 
+client = OpenAI(api_key=st.secrets["OPENAI_API_KEY"])
 
-st.title("Talk with Mingzhe")
+if "openai_model" not in st.session_state:
+    st.session_state["openai_model"] = "gpt-3.5-turbo"
 
-# 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"])
 
-# Accept user input
 if prompt := st.chat_input("What is up?"):
-    # Add user message to chat history
     st.session_state.messages.append({"role": "user", "content": prompt})
-    # Display user message in chat message container
     with st.chat_message("user"):
         st.markdown(prompt)
 
-    # Display assistant response in chat message container
     with st.chat_message("assistant"):
-        response = st.write_stream(response_generator())
-    # Add assistant response to chat history
+        stream = client.chat.completions.create(
+            model=st.session_state["openai_model"],
+            messages=[
+                {"role": m["role"], "content": m["content"]}
+                for m in st.session_state.messages
+            ],
+            stream=True,
+        )
+        response = st.write_stream(stream)
     st.session_state.messages.append({"role": "assistant", "content": response})

components.py

@@ -0,0 +1,26 @@
+# Author: Du Mingzhe (dumingzhex@gmail.com)
+# Date: 2024/03/09
+
+from openai import OpenAI
+
+class LLMClient():
+    def __init__(self, api_key, model_name="gpt-3.5-turbo") -> None:
+        super().__init__()
+        self.model_name = model_name
+        self.llm_client = OpenAI(api_key=api_key)
+        
+    def prompt_list_generate(self, query, history, web_results, personal_results):
+        prompt_list = []
+        prompt_list += [
+            {"role": m["role"], "content": m["content"]} for m in history
+        ],
+        return prompt_list
+        
+    def generate(self, query, history=None, web_results=None, personal_results=None):
+        prompt_list = self.prompt_list_generate(query, history, web_results, personal_results)
+        
+        response = self.llm_client.chat.completions.create(
+            model = self.model_name,
+            messages = prompt_list
+        )
+        return response.choices[0].message.content

requirements.txt

@@ -1 +1,4 @@
-streamlit-chat
+openai
+requests
+streamlit
+pinecone-client