Upload 3 files

app.py

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+import streamlit as st
+from utils import generate_vector
+
+# Applying Styling
+st.markdown("""
+<style>
+div.stButton > button:first-child {
+    background-color: #0a99fa;
+    color:#ffffff;
+}
+div.stButton > button:hover {
+    background-color: #ffffff;
+    color:#0a99fa;
+    }
+</style>""", unsafe_allow_html=True)
+
+# Creating Session State Variable
+if 'API_Key' not in st.session_state:
+    st.session_state['API_Key'] = ''
+
+st.title('📝 Vector Creator')
+
+# Sidebar to capture the OpenAi API key
+st.sidebar.title("🗝️")
+st.session_state['API_Key'] = st.sidebar.text_input("Paste in your OPENAI API key?", type="password")
+st.sidebar.markdown('Vector Generator: Input some text to view its vector. Designed for my cloud Meetup as a demonstration of simple chaining using LangChain.  Check out our Cloud Meetup at https://www.meetup.com/florence-aws-user-group-meetup  It is free to join!')
+
+# Captures User Inputs
+prompt = st.text_input('Please add some text to vectorize', key="prompt")
+
+submit = st.button("Generate a Vector for me")
+
+if submit:
+
+    if st.session_state['API_Key']:
+        text_embedding = generate_vector(prompt, st.session_state['API_Key'])
+        # Let's generate the script
+        st.success('You are now in 1536 dimensional space, how does it feel?')
+
+        # Display Title
+        st.subheader("Vector:🔍")
+        st.write(text_embedding)
+
+
+    else:
+        st.error("Please provide your OpenAI API key in the left column.....")

requirements.txt

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+langchain
+Openai
+tiktoken
+Streamlit

utils.py

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+import os
+from langchain.embeddings import OpenAIEmbeddings
+
+
+# Function to generate title and Logline from simple chaining
+def generate_vector(prompt, api_key):
+    os.environ["OPENAI_API_KEY"]  = api_key
+    embeddings = OpenAIEmbeddings()
+    text_embedding = embeddings.embed_query(prompt)
+    return text_embedding