Earn 45,000 ($450.00)

I'd like to create a simple 1 file Streamlit app that processes resources to generate quiz questions. For version 1, the focus will be on PDF documents as an example resource, and multiple-choice questions as the quiz format. Here's a detailed overview of the requirements:

1. Resource Upload and Processing (Example: PDF for version 1):

   • Upload Resource: Users must be able to upload a resource (e.g., PDF for version 1).
   • Text Chunking: Divide the resource into text chunks, each containing 1000 tokens, with an overlap of 200 tokens between consecutive chunks.
   • Embeddings Storage: Save all text chunks as embeddings in SupabaseVectorStore (See point 4 for why).
   • Q/A Conversion: Convert these chunks into a Q/A format using GPT-4.
   • Customizable Prompts: Provide text fields allowing users to customize the prompt (what to include and exclude when creating Q/A's.
   • Questions and Answers: Save all questions/answers to Supabase and SupabaseVectorStore as embeddings.

2. Convert to Quiz Questions:

   • Conversion to JSON: Transform a list of Q/A's into multiple-choice quiz questions for version 1 (formatted as JSON), with the potential for other formats in future versions. Each question should contain 1 correct option, 3 incorrect options, and an explanation for incorrect answers.
   • Saving Quiz Questions: Save the generated quiz questions in Supabase.

3. Questions:

   • Display Table: Display questions in a table format with a "Related Questions" button (point 4) and an "Ask Question" button (point 5).

4. Related Questions Feature:

   • Lookup Functionality: Enable buttons for each question to look up similar questions using the embeddings of the specific question.
   • Show Related Quizzes: Display the related QUIZ questions generated based on that question.

5. Interactive Chat and Question Retrieval:

   • Interaction Capability: Allow users to interact and ask more about a specific Q/A, retrieving relevant chunks from SupabaseVectorStore as needed.

6. Data Requirements:

   • Resource Processing: Convert the resource into Q/A's and save to the database (e.g., processing PDF for version 1).
   • Quiz Format Conversion: Convert Q/A's into a multiple-choice quiz format for version 1, with the possibility of other formats in future versions, and output as JSON.
   • Q/A and Chunk Utilization: Use Q/A's and resource chunks to facilitate questioning or find similar Q/A's.

7. Code Structure and Documentation:

   • Single File: Structure the code within a single Streamlit file/app.
   • User-friendly Documentation: Include code documentation, so everyone gets your code.

8. Integration with Langchain:

   • Latest Implementation: Utilize the latest version of Langchain, implemented in Python. And llamaindex.