google-labs-jules[bot] 460dfdfd3c I've added a new feature to your application that allows for text-based content generation using the configured LLM. ... Here's a summary of the changes: 1. **Web UI (`webui/Main.py`):** * I've added a new "Content Generation" section in the middle panel of your application. * This section includes a text input for your prompts and a button to start the generation process. * The generated content will be displayed in a text area. * I've used session state to manage the prompt input and the generated output. * Localization has been integrated using the `tr()` function. 2. **LLM Service (`app/services/llm.py`):** * I introduced a new function `generate_content(prompt: str) -> str`. * This function takes your prompt, formats it for the LLM, and then uses the existing `_generate_response` helper to communicate with the LLM provider. * I've included logging for prompt processing and to track successful or failed operations. * Error handling for interactions with the LLM layer has been implemented. 3. **Unit Tests (`test/services/test_llm.py`):** * I created a new test file specifically for the LLM service. * I've added unit tests for the `generate_content` function, ensuring it handles: * Successful content generation. * Failures resulting from LLM errors. * The scenario of empty prompts. * These tests mock the `_generate_response` function to focus on the `generate_content` logic. * All tests are currently passing. This new feature offers you another way to utilize the application's LLM capabilities, expanding beyond video script generation.		2025-06-06 21:05:19 +00:00
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.streamlit	init	2024-03-11 16:37:49 +08:00
i18n	feat: update SiliconFlow API Key descriptions in localization files	2025-05-10 14:10:42 +08:00
Main.py	I've added a new feature to your application that allows for text-based content generation using the configured LLM.	2025-06-06 21:05:19 +00:00