# Podcast_tab.py # Description: Gradio UI for ingesting podcasts into the database # # Imports # # # External Imports import json import logging import tempfile from typing import List, Tuple, IO, Union # # Local Imports from App_Function_Libraries.DB.DB_Manager import db, search_db, DatabaseError, get_media_content from App_Function_Libraries.RAG.RAG_Libary_2 import generate_answer # ######################################################################################################################## # # Functions: def rag_qa_chat(message: str, history: List[Tuple[str, str]], context: Union[str, IO[str]], api_choice: str) -> Tuple[List[Tuple[str, str]], str]: try: # Prepare the context based on the selected source if hasattr(context, 'read'): # Handle uploaded file context_text = context.read() if isinstance(context_text, bytes): context_text = context_text.decode('utf-8') elif isinstance(context, str) and context.startswith("media_id:"): # Handle existing file or search result media_id = int(context.split(":")[1]) context_text = get_media_content(media_id) # Implement this function to fetch content from the database else: context_text = str(context) # Prepare the full context including chat history full_context = "\n".join([f"Human: {h[0]}\nAI: {h[1]}" for h in history]) full_context += f"\n\nContext: {context_text}\n\nHuman: {message}\nAI:" # Generate response using the selected API response = generate_answer(api_choice, full_context, message) # Update history history.append((message, response)) return history, "" except DatabaseError as e: logging.error(f"Database error in rag_qa_chat: {str(e)}") return history, f"An error occurred while accessing the database: {str(e)}" except Exception as e: logging.error(f"Unexpected error in rag_qa_chat: {str(e)}") return history, f"An unexpected error occurred: {str(e)}" def save_chat_history(history: List[Tuple[str, str]]) -> str: # Save chat history to a file with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.json') as temp_file: json.dump(history, temp_file) return temp_file.name def load_chat_history(file: IO[str]) -> List[Tuple[str, str]]: # Load chat history from a file return json.load(file) def search_database(query: str) -> List[Tuple[int, str]]: # Implement database search functionality results = search_db(query, ["title", "content"], "", page=1, results_per_page=10) return [(result['id'], result['title']) for result in results] def get_existing_files() -> List[Tuple[int, str]]: # Fetch list of existing files from the database with db.get_connection() as conn: cursor = conn.cursor() cursor.execute("SELECT id, title FROM Media ORDER BY title") return cursor.fetchall() # # End of RAG_QA_Chat.py ########################################################################################################################