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Update app.py
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app.py
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import streamlit as st
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import openai
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import uuid
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@@ -94,7 +94,7 @@ def page1():
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with col1:
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st.title('Welcome to MediMetrics!')
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st.subheader('powered by :
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with col2:
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# Load and display the image in the right column
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@@ -105,41 +105,31 @@ def page1():
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if 'chat_history' not in st.session_state:
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st.session_state.chat_history = []
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# Define flags in the session state for processing control
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if 'processing' not in st.session_state:
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st.session_state.processing = False
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# Function to handle question submission
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def submit_question(question):
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process_question(question)
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st.session_state.processing = False
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st.experimental_rerun()
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# Function to process the question
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def process_question(question):
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# Clear the previous run status and
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st.session_state.run = None
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st.session_state.
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# Start with the current user question in chat history
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st.session_state.chat_history = [("User", question)]
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# Add message to the thread
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client.beta.threads.messages.create(
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thread_id=st.session_state.thread.id,
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role="user",
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content=question
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)
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# Create a new run to process the messages in the thread
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st.session_state.run = client.beta.threads.runs.create(
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thread_id=st.session_state.thread.id,
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assistant_id=st.session_state.assistant.id,
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)
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# Wait for the run to complete
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while not hasattr(st.session_state.run, 'status') or st.session_state.run.status not in ["completed", "failed"]:
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time.sleep(1)
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@@ -147,30 +137,20 @@ def page1():
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thread_id=st.session_state.thread.id,
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run_id=st.session_state.run.id,
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)
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if st.session_state.run.status == "completed":
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# Retrieve the list of messages
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st.session_state.messages = client.beta.threads.messages.list(
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thread_id=st.session_state.thread.id
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)
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#
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last_assistant_message = next((message for message in reversed(st.session_state.messages.data) if message.role == "assistant"), None)
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if last_assistant_message:
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# Update chat history with the assistant's response
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st.session_state.chat_history.append(("Assistant", last_assistant_message.content[0].text.value))
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# Display chat history
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for role, message in st.session_state.chat_history:
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if role == "User":
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with st.chat_message("User"):
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st.markdown(message)
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elif role == "Assistant":
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with st.chat_message("Assistant"):
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st.markdown(message)
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# Example query buttons
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col3, col4 = st.columns(2) # Create two columns for buttons
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metadata={'session_id': st.session_state.session_id}
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)
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# Check if the run is completed and display the last assistant message
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if hasattr(st.session_state.run, 'status') and st.session_state.run.status == "completed":
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# Retrieve the list of messages
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# Importing required packages
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import streamlit as st
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import openai
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import uuid
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with col1:
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st.title('Welcome to MediMetrics!')
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st.subheader('powered by :orange[BinDoc GmbH] ')
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with col2:
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# Load and display the image in the right column
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if 'chat_history' not in st.session_state:
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st.session_state.chat_history = []
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# Function to handle question submission
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def submit_question(question):
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# Add question to chat history
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st.session_state.chat_history.append(("User", question))
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process_question(question)
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# Function to process the question
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def process_question(question):
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# Clear the previous run status and chat history
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st.session_state.run = None
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st.session_state.chat_history = [("User", question)] # Start with the current user question
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# Add message to the thread
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client.beta.threads.messages.create(
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thread_id=st.session_state.thread.id,
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role="user",
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content=question
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)
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# Create a new run to process the messages in the thread
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st.session_state.run = client.beta.threads.runs.create(
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thread_id=st.session_state.thread.id,
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assistant_id=st.session_state.assistant.id,
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)
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# Wait for the run to complete
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while not hasattr(st.session_state.run, 'status') or st.session_state.run.status not in ["completed", "failed"]:
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time.sleep(1)
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thread_id=st.session_state.thread.id,
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run_id=st.session_state.run.id,
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)
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if st.session_state.run.status == "completed":
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# Retrieve the list of messages
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st.session_state.messages = client.beta.threads.messages.list(
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thread_id=st.session_state.thread.id
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)
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+
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# Get the latest message from the assistant
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last_assistant_message = next((message for message in reversed(st.session_state.messages.data) if message.role == "assistant"), None)
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if last_assistant_message:
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# Update chat history with the assistant's response
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st.session_state.chat_history.append(("Assistant", last_assistant_message.content[0].text.value))
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# Example query buttons
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col3, col4 = st.columns(2) # Create two columns for buttons
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metadata={'session_id': st.session_state.session_id}
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)
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# Check if the run is completed and display the last assistant message
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if hasattr(st.session_state.run, 'status') and st.session_state.run.status == "completed":
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# Retrieve the list of messages
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