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Update app.py
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# Importing required packages
import streamlit as st
from streamlit_extras.add_vertical_space import add_vertical_space
import openai
import uuid
import time
import os
from openai import OpenAI
import base64
from PIL import Image
import io
import matplotlib as plt
from PIL import Image
api_key = os.getenv("OPENAI_API_KEY")
assistant_id = os.getenv("assistant_id")
def handle_and_display_image(file_id):
api_response = client.files.with_raw_response.retrieve_content(file_id)
if api_response.status_code == 200:
content = api_response.content
with open('image.png', 'wb') as f:
f.write(content)
return Image.open('image.png')
else:
print('Failed to download file.')
return None
client = openai.Client()
MODEL = "gpt-4-1106-preview"
def page1():
try:
if "session_id" not in st.session_state:
st.session_state.session_id = str(uuid.uuid4())
if "run" not in st.session_state:
st.session_state.run = {"status": None}
if "messages" not in st.session_state:
st.session_state.messages = []
if "retry_error" not in st.session_state:
st.session_state.retry_error = 0
if "assistant" not in st.session_state:
openai.api_key = api_key
# Load the previously created assistant
st.session_state.assistant = openai.beta.assistants.retrieve(assistant_id)
# Create a new thread for this session
st.session_state.thread = client.beta.threads.create(
metadata={
'session_id': st.session_state.session_id,
}
)
# If the run is completed, display the messages
elif hasattr(st.session_state.run, 'status') and st.session_state.run.status == "completed":
# Retrieve the list of messages
st.session_state.messages = client.beta.threads.messages.list(
thread_id=st.session_state.thread.id
)
end_time = time.time() # Stop the timer
duration = end_time - start_time # Calculate duration
st.write(f"Response time: {duration:.2f} seconds")
# Display messages
for message in reversed(st.session_state.messages.data):
if message.role in ["user", "assistant"]:
with st.chat_message(message.role):
for content_part in message.content:
if content_part.type == 'text': # For text responses
message_text = content_part.text.value
st.markdown(message_text)
# New code to handle image files
elif hasattr(content_part, 'image_file') and content_part.image_file:
image = handle_and_display_image(content_part.image_file.file_id)
if image:
st.image(image, caption="Generated Image")
start_time = time.time() # Start the timer
if prompt := st.chat_input("Wie kann ich dir helfen?"):
with st.chat_message('user'):
st.write(prompt)
# Add message to the thread
st.session_state.messages = client.beta.threads.messages.create(
thread_id=st.session_state.thread.id,
role="user",
content=prompt
)
# Do a run to process the messages in the thread
st.session_state.run = client.beta.threads.runs.create(
thread_id=st.session_state.thread.id,
assistant_id=st.session_state.assistant.id,
)
if st.session_state.retry_error < 3:
time.sleep(1) # Wait 1 second before checking run status
st.rerun()
# Check if 'run' object has 'status' attribute
if hasattr(st.session_state.run, 'status'):
# Handle the 'running' status
if st.session_state.run.status == "running":
with st.chat_message('assistant'):
st.write("Thinking ......")
if st.session_state.retry_error < 3:
time.sleep(1) # Short delay to prevent immediate rerun, adjust as needed
st.rerun()
# Handle the 'failed' status
elif st.session_state.run.status == "failed":
st.session_state.retry_error += 1
with st.chat_message('assistant'):
if st.session_state.retry_error < 3:
st.write("Run failed, retrying ......")
time.sleep(3) # Longer delay before retrying
st.rerun()
else:
st.error("FAILED: The OpenAI API is currently processing too many requests. Please try again later ......")
# Handle any status that is not 'completed'
elif st.session_state.run.status != "completed":
# Attempt to retrieve the run again, possibly redundant if there's no other status but 'running' or 'failed'
st.session_state.run = client.beta.threads.runs.retrieve(
thread_id=st.session_state.thread.id,
run_id=st.session_state.run.id,
)
if st.session_state.retry_error < 3:
time.sleep(3)
st.rerun()
except Exception as e:
st.error(f"Upsi, an unexpected error occurred: {e}")
def page2():
try:
hide_streamlit_style = """
<style>
#MainMenu {visibility: hidden;}
footer {visibility: hidden;}
</style>
"""
st.markdown(hide_streamlit_style, unsafe_allow_html=True)
# Create columns for layout
col1, col2 = st.columns([3, 1]) # Adjust the ratio to your liking
with col1:
st.title("Test Page with Logo!")
with col2:
# Load and display the image in the right column, which will be the top-right corner of the page
image = Image.open('BinDoc Logo (Quadratisch).png')
st.image(image, use_column_width='always')
except Exception as e:
st.error(f"Upsi, an unexpected error occurred: {e}")
def main():
# Sidebar content
with st.sidebar:
st.title('BinDoc GmbH')
st.markdown("Experience revolutionary interaction with BinDocs Chat App, leveraging state-of-the-art AI technology.")
add_vertical_space(1)
page = st.sidebar.selectbox("Choose a page", ["Analysis Bot", "Test Page"])
add_vertical_space(1)
st.write('Made with ❤️ by BinDoc GmbH')
# Main area content based on page selection
if page == "Analysis Bot":
page1()
elif page == "Test Page":
page2()
if __name__ == "__main__":
main()