new file

app.py

@@ -5,47 +5,34 @@ from tools import sentiment_analysis_util
 import numpy as np
 from dotenv import load_dotenv
 import os
+st.title("💬 Chatbot")
+st.caption("")
 
-st.set_page_config(page_title="LangChain Agent", layout="wide")
-load_dotenv()
-OPENAI_API_KEY = os.environ["OPENAI_API_KEY"]
+# Initialize session state for storing messages if it doesn't already exist
+if "messages" not in st.session_state:
+    st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you?"}]
 
-llm = ChatOpenAI(model="gpt-3.5-turbo")
+# Display all previous messages
+for msg in st.session_state.messages:
+    st.chat_message(msg["role"]).write(msg["content"])
 
-from langchain_core.runnables import RunnableConfig
+# Input for new prompts
+prompt = st.chat_input("Enter your question:")
+if prompt:
+    if not openai_api_key:
+        st.error("No OpenAI API key found. Please set the OPENAI_API_KEY environment variable.")
+        st.stop()
 
-st.title("💬 ExpressMood")
-
-@st.cache_resource
-def initialize_session_state():
-    if "chat_history" not in st.session_state:
-        st.session_state["messages"] = [{"role":"system", "content":"""
-You are a sentiment analysis expert. Answer all questions related to cryptocurrency investment reccommendations. Say I don't know if you don't know.
-"""}]
-
-initialize_session_state()
-
-client = OpenAI(api_key=OPENAI_API_KEY)
-
-if "openai_model" not in st.session_state:
-    st.session_state["openai_model"] = "gpt-3.5-turbo"
-
-if prompt := st.chat_input("Any other questions? "):
-    # Add user message to chat history
+    # Append the new user message to session state
     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"):
-        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})
+    st.chat_message("user").write(prompt)
+
+    # Use a spinner to indicate that the model is generating a response
+    with st.spinner('Thinking...'):
+        client = OpenAI(api_key=openai_api_key)
+        response = client.chat.completions.create(model="gpt-3.5-turbo", messages=st.session_state.messages)
+        msg = response.choices[0].message.content
 
+    # Append and display the assistant's response
+    st.session_state.messages.append({"role": "assistant", "content": msg})
+    st.chat_message("assistant").write(msg)