created a secondary UI with streamlint to toggle between the standard and newly build UI

.gitignore

@@ -2,6 +2,7 @@ marvin.toml
 .marvin-history
 marvin.egg-info
 
+.streamlit
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

PULL_REQUEST_TEMPLATE.md

@@ -1,10 +1,15 @@
 ## Scope
 `[Add context about what this feature is about and explain why of the feature and your technical decisions.]`
+Added a new ui for the application, you can use different ui for the same application the default ui can be used by running the command poetry run python textbase/textbase_cli.py test
 
+you can use the streamlit run examples\streamlit\streamlit_vicky-chatbot.py command to run the ui built with stream lit 
 
 
 - [ ] `[Sub task]`
 
+there were not enough modification made other then stroing the api key in a sperate file called secrets.toml  the file will not be stroed in the repo when you clone the repo please create a .streamlit folder in the main path and add a secrets.toml file in there add your api key here
+# .streamlit/secrets.toml
+OPENAI_API_KEY = "YOUR_API_KEY"
 
 ### Screenshots
 ---
@@ -15,6 +20,6 @@
 
 
 ### Developer checklist
-- [ ] I’ve manually tested that code works locally on desktop and mobile browsers.
-- [ ] I’ve reviewed my code.
-- [ ] I’ve removed all my personal credentials (API keys etc.) from the code.
+- [✅] I’ve manually tested that code works locally on desktop and mobile browsers.
+- [✅] I’ve reviewed my code.
+- [✅] I’ve removed all my personal credentials (API keys etc.) from the code.

examples/streamlit/streamlit_vicky-chatbot.py

@@ -0,0 +1,47 @@
+import streamlit as st
+import openai
+import random
+import time
+
+st.title("textbase_Vicky-chatbot 😎")
+
+openai.api_key=st.secrets["OPENAI_API_KEY"]
+
+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
+prompt = st.chat_input("what is up")
+if prompt :
+
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        for response in openai.ChatCompletion.create(
+            model=st.session_state["openai_model"],
+            messages=[
+                {"role": m["role"], "content":m["content"]}
+                for m in st.session_state.messages
+            ],
+            stream=True
+        ):
+            full_response += response.choices[0].delta.get("content", "")
+            message_placeholder.markdown(full_response + "")
+        message_placeholder.markdown(full_response)
+    st.session_state.messages.append({"role":"assistant", "content": full_response})