MovieRecsBot is a Python-based chatbot that recommends films based on a reference movie or description. It uses NLP for preprocessing film synopses and tags, TF-IDF with cosine similarity for matching, and leverages GPT-2 and Flan-T5 for dynamic, conversational responses.

Features

Film Recommendations: Get movie suggestions based on a reference title or description.
NLP Preprocessing: Uses SpaCy and NLTK for tokenizing and cleaning film synopses.
Similarity Matching: Implements TF-IDF vectorization and cosine similarity to find similar films.
Conversational AI: Powered by GPT-2 and Flan-T5 to generate natural language responses.
Data Exploration: Visualizes tag distributions and performs basic analysis on film metadata.

Clone the repository:

git clone https://github.com/yourusername/MovieRecsBot.git

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Copie de dataBase_with_year.xlsx		Copie de dataBase_with_year.xlsx
README.md		README.md
chatbotfilms.py		chatbotfilms.py
dataBase_with_year.csv		dataBase_with_year.csv