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Create app.py
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app.py
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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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import time
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from openai import OpenAI
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api_key = os.getenv("OPENAI_API_KEY")
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client = OpenAI(api_key="Hier deienen OPENAI-API-KEY einfügen")
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MODEL = "gpt-4-1106-preview"
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if "session_id" not in st.session_state:
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st.session_state.session_id = str(uuid.uuid4())
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if "run" not in st.session_state:
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st.session_state.run = {"status": None}
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if "messages" not in st.session_state:
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st.session_state.messages = []
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if "retry_error" not in st.session_state:
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st.session_state.retry_error = 0
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st.set_page_config(page_title="OpenAI - Assistent API")
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st.sidebar.title("OpenAI - Assistant API🤖")
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st.sidebar.markdown("**Model:** gpt-4-1106-preview API")
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st.sidebar.markdown("**Version:** 1.1")
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st.sidebar.markdown("**Session-ID:**")
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st.sidebar.markdown(st.session_state.session_id)
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st.sidebar.divider()
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st.title("Assitent-Name")
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st.text("Beschreibung")
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if "assistant" not in st.session_state:
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openai.api_key = "Hier deinen OPENAI-API-KEY einfügen"
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# Load the previously created assistant
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st.session_state.assistant = openai.beta.assistants.retrieve("Hier deine ASSISTENT-ID Einfügen")
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# Create a new thread for this session
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st.session_state.thread = client.beta.threads.create(
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metadata={
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'session_id': st.session_state.session_id,
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}
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)
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# If the run is completed, display the messages
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elif 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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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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# Display messages
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for message in reversed(st.session_state.messages.data):
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if message.role in ["user", "assistant"]:
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with st.chat_message(message.role):
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for content_part in message.content:
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message_text = content_part.text.value
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st.markdown(message_text)
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if prompt := st.chat_input("Wie kann ich dir helfen?"):
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with st.chat_message('user'):
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st.write(prompt)
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# Add message to the thread
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st.session_state.messages = 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=prompt
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)
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# Do a 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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if st.session_state.retry_error < 3:
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time.sleep(1) # Wait 1 second before checking run status
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st.rerun()
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# Check if 'run' object has 'status' attribute
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if hasattr(st.session_state.run, 'status'):
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# Handle the 'running' status
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if st.session_state.run.status == "running":
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with st.chat_message('assistant'):
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st.write("Thinking ......")
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if st.session_state.retry_error < 3:
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time.sleep(1) # Short delay to prevent immediate rerun, adjust as needed
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st.rerun()
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# Handle the 'failed' status
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elif st.session_state.run.status == "failed":
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st.session_state.retry_error += 1
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with st.chat_message('assistant'):
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if st.session_state.retry_error < 3:
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st.write("Run failed, retrying ......")
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time.sleep(3) # Longer delay before retrying
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st.rerun()
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else:
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st.error("FAILED: The OpenAI API is currently processing too many requests. Please try again later ......")
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# Handle any status that is not 'completed'
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elif st.session_state.run.status != "completed":
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# Attempt to retrieve the run again, possibly redundant if there's no other status but 'running' or 'failed'
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st.session_state.run = client.beta.threads.runs.retrieve(
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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.retry_error < 3:
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time.sleep(3)
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st.rerun()
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