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This project is a Streamlit-based application that utilizes GooglePalm language model to assist in generating marketing content for different age groups. The application allows users to input a product, select a marketing task (e.g., writing sales copy, creating a tweet, or writing a product description), and choose a target audience age group.
S-Chatbot is a Streamlit-based chatbot powered by GooglePalm language model. It allows users to interact with the chatbot and receive responses from the model.
This project is a Retail Store Database Assistant that uses LangChain and Google Palm Language Model to interact with a MySQL database. Users can ask questions about the database, and the assistant will generate MySQL queries to retrieve relevant information.
Project made with Langchain, Google Palm, Streamlit in which user can enter the youtube video url and the summary related to the video is being fetched
LLMs are deep learning models with billions of parameters that excel at a wide range of natural language processing tasks. They can perform tasks like translation, sentiment analysis, and chatbot conversations without being specifically trained for them
Application built with Langchain and Streamlit Using OpenAI and Google Palm in which user can query questions related upto 3 new articles including extractive question answering and summarization and also user can add a youtube video link and on basis of that user will get the desired video summarization.
An AI-powered application that can guess movie titles based on plot summaries. Built using LangChain, Google Palm LLM, CSVLoader, RetrievalQA, Google Palm Embeddings, and FAISS. Deployed on Streamlit for an interactive user experience, allowing you to enter a plot summary and receive a predicted movie title.