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Update app.py
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app.py
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@@ -3,34 +3,43 @@ from dotenv import load_dotenv
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import streamlit as st
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import webchat
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import utils
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# URL of the hosted LLMs is hardcoded because at this time all LLMs share the same endpoint
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url = "https://us-south.ml.cloud.ibm.com"
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watsonx_project_id = ""
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api_key = ""
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def main():
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st.set_page_config(layout="wide", page_title="RAG Web Demo", page_icon="")
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utils.load_css("styles.css")
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# Streamlit app title with style
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st.markdown("""
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<div class="menu-bar">
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<h1>IBM watsonx.ai - webchat</h1>
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</div>
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<div style="margin-top: 20px;"><p>Insert the website you want to chat with and ask your question.</p></div>
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""", unsafe_allow_html=True)
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# Sidebar for settings
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st.sidebar.header("Settings")
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st.sidebar.markdown("Insert your credentials of [IBM Cloud](https://cloud.ibm.com/login) for watsonx.ai \n The data is not saved
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st.sidebar.markdown("<hr>", unsafe_allow_html=True)
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if api_key_input:
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if project_id_input:
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# Main input area
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user_url = st.text_input('Provide a URL')
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# UI component to enter the question
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@@ -38,14 +47,14 @@ def main():
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button_clicked = st.button("Answer the question")
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st.markdown("<hr>", unsafe_allow_html=True)
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st.subheader("Response")
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if button_clicked and user_url:
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# Invoke the LLM when the button is clicked
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response = webchat.answer_questions_from_web(api_key, watsonx_project_id, user_url, question, collection_name,client)
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st.write(response)
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else:
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st.warning("Please provide API Key and Project ID in the sidebar.")
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@@ -54,8 +63,8 @@ def main():
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st.sidebar.markdown("<hr>", unsafe_allow_html=True)
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st.sidebar.header("Memory")
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clean_button_clicked = st.sidebar.button("Clean Memory")
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if clean_button_clicked
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if collection_name:
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utils.clear_collection(collection_name, client)
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st.sidebar.success("Memory cleared successfully!")
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print("Memory cleared successfully!")
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import streamlit as st
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import webchat
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import utils
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# URL of the hosted LLMs is hardcoded because at this time all LLMs share the same endpoint
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url = "https://us-south.ml.cloud.ibm.com"
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def main():
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# Initialize session state for credentials
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if 'watsonx_project_id' not in st.session_state:
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st.session_state['watsonx_project_id'] = ""
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if 'api_key' not in st.session_state:
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st.session_state['api_key'] = ""
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st.set_page_config(layout="wide", page_title="RAG Web Demo", page_icon="")
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utils.load_css("styles.css")
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# Streamlit app title with style
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st.markdown("""
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<div class="menu-bar">
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<h1>IBM watsonx.ai - webchat</h1>
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</div>
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<div style="margin-top: 20px;"><p>Insert the website you want to chat with and ask your question.</p></div>
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""", unsafe_allow_html=True)
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# Sidebar for settings
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st.sidebar.header("Settings")
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st.sidebar.markdown("Insert your credentials of [IBM Cloud](https://cloud.ibm.com/login) for watsonx.ai \n The data is not saved in the server. Your data is secured.", unsafe_allow_html=True)
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st.sidebar.markdown("<hr>", unsafe_allow_html=True)
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# Input fields for API Key and Project ID
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api_key_input = st.sidebar.text_input("API Key", st.session_state['api_key'], type="password")
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project_id_input = st.sidebar.text_input("Project ID", st.session_state['watsonx_project_id'])
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# Update session state with the provided credentials
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if api_key_input:
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st.session_state['api_key'] = api_key_input
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if project_id_input:
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st.session_state['watsonx_project_id'] = project_id_input
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# Main input area
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user_url = st.text_input('Provide a URL')
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# UI component to enter the question
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button_clicked = st.button("Answer the question")
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st.markdown("<hr>", unsafe_allow_html=True)
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st.subheader("Response")
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collection_name = "base"
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client = utils.chromadb_client()
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if st.session_state['api_key'] and st.session_state['watsonx_project_id']:
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if button_clicked and user_url:
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# Invoke the LLM when the button is clicked
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response = webchat.answer_questions_from_web(st.session_state['api_key'], st.session_state['watsonx_project_id'], user_url, question, collection_name, client)
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st.write(response)
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else:
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st.warning("Please provide API Key and Project ID in the sidebar.")
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st.sidebar.markdown("<hr>", unsafe_allow_html=True)
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st.sidebar.header("Memory")
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clean_button_clicked = st.sidebar.button("Clean Memory")
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if clean_button_clicked:
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if collection_name:
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utils.clear_collection(collection_name, client)
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st.sidebar.success("Memory cleared successfully!")
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print("Memory cleared successfully!")
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