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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +29 -2
src/streamlit_app.py
CHANGED
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@@ -1,9 +1,13 @@
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import streamlit as st
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import requests
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import os
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# Get Lambda URL from environment variable
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LAMBDA_URL = os.getenv("LAMBDA_URL")
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if not LAMBDA_URL:
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st.error("LAMBDA_URL environment variable is not set. Please check your .env file.")
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st.stop()
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@@ -12,6 +16,17 @@ st.set_page_config(page_title="Ask Redshift", page_icon="🤖")
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st.title("🧠 Ask your Redshift Database Anything...")
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question = st.text_input(
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"Enter your question about your data (e.g., 'What is the average cost per lead for March?')"
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)
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@@ -19,13 +34,25 @@ question = st.text_input(
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if st.button("Run Query"):
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if question:
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with st.spinner("Querying..."):
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# Call the API
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response = requests.post(
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LAMBDA_URL,
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json=
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)
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response.raise_for_status()
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response = response.json()
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st.success(response["answer"])
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else:
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st.error("Please enter a question.")
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import streamlit as st
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import requests
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import os
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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# Get Lambda URL from environment variable
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LAMBDA_URL = os.getenv("LAMBDA_URL") or "http://localhost:8000/chats/messages"
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if not LAMBDA_URL:
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st.error("LAMBDA_URL environment variable is not set. Please check your .env file.")
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st.stop()
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st.title("🧠 Ask your Redshift Database Anything...")
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# Initialize conversation_id in session state if not exists
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if "conversation_id" not in st.session_state:
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st.session_state.conversation_id = None
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# Add system prompt input
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system_prompt = st.text_area(
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"System Prompt (Optional)",
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help="Customize the AI's behavior and instructions. Leave empty to use default behavior.",
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height=100
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)
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question = st.text_input(
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"Enter your question about your data (e.g., 'What is the average cost per lead for March?')"
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)
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if st.button("Run Query"):
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if question:
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with st.spinner("Querying..."):
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# Prepare payload
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payload = {"question": question}
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if st.session_state.conversation_id:
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payload["conversation_id"] = st.session_state.conversation_id
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if system_prompt:
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payload["system_prompt"] = system_prompt
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# Call the API
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response = requests.post(
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LAMBDA_URL,
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json=payload,
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)
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response.raise_for_status()
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response = response.json()
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# Store conversation_id for future requests
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if "conversation_id" in response:
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st.session_state.conversation_id = response["conversation_id"]
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st.success(response["answer"])
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else:
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st.error("Please enter a question.")
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