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Runtime error
| import pandas as pd | |
| import streamlit as st | |
| import json | |
| from utils import client | |
| def analyze_crossover_potential(thread_id, additional_context=None): | |
| if additional_context: | |
| client.beta.threads.messages.create( | |
| thread_id=thread_id, | |
| role="user", | |
| content=json.dumps(additional_context) | |
| ) | |
| run = client.beta.threads.runs.create( | |
| thread_id=thread_id, | |
| assistant_id="asst_Kz39dY89bAF83rFCBhwTmvul" | |
| ) | |
| while run.status in ['queued', 'in_progress', 'cancelling']: | |
| run = client.beta.threads.runs.retrieve( | |
| thread_id=thread_id, | |
| run_id=run.id | |
| ) | |
| if run.status == 'completed': | |
| messages = client.beta.threads.messages.list(thread_id=thread_id) | |
| analysis = next((msg.content[0].text.value for msg in reversed(list(messages)) if msg.role == "assistant"), "") | |
| return analysis | |
| else: | |
| return f"Error: Run status is {run.status}" | |
| def process_crossover_potential(analysis): | |
| try: | |
| df = pd.json_normalize(json.loads(analysis)) | |
| st.dataframe(df) | |
| st.bar_chart(df.set_index('synopsis')['crossover_potential']) | |
| except Exception as e: | |
| st.error(f"Error processing data for Crossover Potential: {e}") | |
| st.write("Please check the structure of the JSON data:") | |
| st.json(analysis) |