I'm running a simple Streamlit + Ollama + Python to run an AI chatbot. After asking the chat, it's causing this error: [ERROR] Failed with error: Traceback (most recent call last): File "/usr/local/lib/python3.10/site-packages/pandasai/pipelines/chat/code_execution.py", line 87, in execute result = self.execute_code(input, code_context) File "/usr/local/lib/python3.10/site-packages/pandasai/pipelines/chat/code_execution.py", line 172, in execute_code exec(code, environment) File "<string>", line 1, in <module> NameError: name 'Python' is not defined I'm not sure what can be happening here. So here is my scripts. docker-compose.yml version: '3.8' services: app: build: . container_name: streamlit_app ports: - "8501:8501" volumes: - .:/app depends_on: - ollama ollama: image: ollama/ollama container_name: ollama ports: - "11434:11434" volumes: - ollama_data:/root/.ollama entrypoint: ["/bin/sh", "-c", "ollama serve"] volumes: ollama_data: Dockerfile FROM python:3.10 WORKDIR /app COPY requirements.txt . COPY app.py . RUN pip install --no-cache-dir -r requirements.txt CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"] app.py from pandasai.llm.local_llm import LocalLLM ## Importing LocalLLM for local Meta Llama 3 model import streamlit as st import pandas as pd # Pandas for data manipulation from pandasai import SmartDataframe # SmartDataframe for interacting with data using LLM # Function to chat with CSV data def chat_with_csv(df,query): llm = LocalLLM( api_base="http://ollama:11434/v1", model="llama3") pandas_ai = SmartDataframe(df, config={"llm": llm}) result = pandas_ai.chat(query) return result st.set_page_config(layout='wide') st.title("Multiple-CSV ChatApp powered by LLM") # Upload multiple CSV files input_csvs = st.sidebar.file_uploader("Upload your CSV files", type=['csv'], accept_multiple_files=True) # Check if CSV files are uploaded if input_csvs: # Select a CSV file from the uploaded files using a dropdown menu selected_file = st.selectbox("Select a CSV file", [file.name for file in input_csvs]) selected_index = [file.name for file in input_csvs].index(selected_file) #load and display the selected csv file st.info("CSV uploaded successfully") data = pd.read_csv(input_csvs[selected_index]) st.dataframe(data.head(3),use_container_width=True) #Enter the query for analysis st.info("Chat Below") input_text = st.text_area("Enter the query") #Perform analysis if input_text: if st.button("Chat with csv"): st.info("Your Query: "+ input_text) result = chat_with_csv(data,input_text) st.success(result) Anyone can help? Continue reading...