| --- | |
| language: en | |
| tags: | |
| - chatbot | |
| - natural language processing | |
| license: Apache 2.0 | |
| datasets: | |
| - Custom Dataset (Dronealexa) | |
| --- | |
| Model Card: NLP-Based Chatbot | |
| Overview | |
| The NLP-Based Chatbot is designed to explore Science & Technology topics. It utilizes a combination of semantic search and summarization techniques to provide relevant and concise responses to user queries. | |
| Model Details | |
| - **Model Name:** NLP-Based Chatbot | |
| - **Model Type:** Natural Language Processing (NLP) Chatbot | |
| - **Framework:** Gradio Blocks Interface, spaCy, Transformers | |
| Components | |
| 1. Semantic Search | |
| The chatbot employs semantic search to retrieve relevant information from a preprocessed dataset (Dronealexa.csv). The search is based on a TF-IDF vectorizer and cosine similarity calculations. | |
| 2. Summarization | |
| A summarization pipeline is used to generate concise summaries of the retrieved information. The Hugging Face Transformers library is utilized for summarization tasks. | |
| 3. Custom Embeddings | |
| The model incorporates custom text embeddings using spaCy and pre-trained word embeddings. These embeddings enhance the understanding of user queries and contribute to the semantic search. | |
| 4. Gradio Blocks Interface | |
| The chatbot's frontend is built using Gradio Blocks Interface, providing an interactive and user-friendly platform for users to input queries and receive responses. | |
| 5. Model Card Generation | |
| The model card generation involves constructing prompts based on search results and utilizing a summarization pipeline to produce model card content. | |
| Intended Use | |
| The NLP-Based Chatbot is intended for users interested in exploring Science & Technology topics. It can be used to obtain information from the provided dataset, and users are encouraged to provide feedback for continuous improvement. | |
| Training Data | |
| The model is trained on a custom dataset (Dronealexa.csv) containing Science & Technology-related information. The dataset has been preprocessed to handle missing values and ensure efficient semantic search. | |
| Evaluation Metrics | |
| - Semantic Search: TF-IDF Vectorizer, Cosine Similarity | |
| - Summarization: Hugging Face Transformers Pipeline | |
| Ethical Considerations | |
| The chatbot aims to provide accurate and relevant information. However, users are advised to critically evaluate the responses and understand that the model's knowledge is based on the training data. | |
| Usage Instructions | |
| 1. Input your query in the provided textbox. | |
| 2. Click the "Send" button to receive a response. | |
| 3. Optionally, submit feedback using the "Submit Feedback" button. | |
| License | |
| This model is released under the Apache 2.0 License. | |
| Contact Information | |
| For inquiries or issues, please contact [email protected]. | |