This script uses ChatGPT to answer queries based on two specific files. To test it, you can extract the six "Steps for Conducting Political Economy and Policy Analysis" from the POLITICAL ECONOMY AND POLICY ANALYSIS (PEPA) SOURCEBOOK and analyze the Colombian policy to fight child malnutrition. In both cases, please supply a reduced-size file, as ChatGPT will not handle the full ones. Below is a description of the files.

Execution Instructions

To execute the script on Windows CMD, use the following command: streamlit run query.2.py

Files

1. PEPA.pdf

   • Title: POLITICAL ECONOMY AND POLICY ANALYSIS (PEPA) SOURCEBOOK

2. prevenir-la-malnutricion-o-desnutricion.pdf

   • Description: Document outlining the Colombian Government's strategy to fight child malnutrition

3. Resumen_Prevenir_Malnutricion.pdf

   • Description: A summary prepared by ChatGPT-4 of document 2 to avoid overloading the system

4. Pepa-33-40.pdf

   • Description: Extract of pages 33-40 from the original PEPA SOURCEBOOK to avoid overloading the system

5. Results.docx

   • Description: This file contains the answers provided by the ChatGPT API to the question: "Can you infer the PEPA six-step process described in Pepa-33-40.pdf to evaluate the effectiveness of the strategy described in Resumen_Prevenir_Malnutricion.pdf?"