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- --------------
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  language: en
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  tags:
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  - chatbot
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  - natural language processing
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- license: Apache 2.0
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- datasets:
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- - Custom Dataset (Dronealexa)
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- ---------------
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  Model Card: NLP-Based Chatbot
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- ----------Overview---------
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  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.
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@@ -20,7 +18,7 @@ Model Details
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  - Model Type: Natural Language Processing (NLP) Chatbot
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  - Framework: Gradio Blocks Interface, spaCy, Transformers
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- --------Components------------
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  1. Semantic Search
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@@ -42,34 +40,39 @@ The chatbot's frontend is built using Gradio Blocks Interface, providing an inte
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  The model card generation involves constructing prompts based on search results and utilizing a summarization pipeline to produce model card content.
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- -----------Intended Use--------------
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  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.
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- ---------------Training Data----------
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  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.
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- ------------Evaluation Metrics---------------
 
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  - Semantic Search: TF-IDF Vectorizer, Cosine Similarity
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  - Summarization: Hugging Face Transformers Pipeline
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- ----------------Ethical Considerations---------------------
 
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  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.
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- -----------------Usage Instructions----------------------
 
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  1. Input your query in the provided textbox.
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  2. Click the "Send" button to receive a response.
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  3. Optionally, submit feedback using the "Submit Feedback" button.
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- --------------License--------------------
 
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  This model is released under the Apache 2.0 License.
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- --------------Contact Information---------------------
 
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  For inquiries or issues, please contact [email protected].
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+ ---
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  language: en
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  tags:
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  - chatbot
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  - natural language processing
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+ license: mit
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+ ---
 
 
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  Model Card: NLP-Based Chatbot
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+ Overview
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  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.
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  - Model Type: Natural Language Processing (NLP) Chatbot
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  - Framework: Gradio Blocks Interface, spaCy, Transformers
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+ Components
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  1. Semantic Search
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  The model card generation involves constructing prompts based on search results and utilizing a summarization pipeline to produce model card content.
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+ Intended Use
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  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.
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+ Training Data
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  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.
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+
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+ Evaluation Metrics
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  - Semantic Search: TF-IDF Vectorizer, Cosine Similarity
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  - Summarization: Hugging Face Transformers Pipeline
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+
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+ Ethical Considerations
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  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.
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+
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+ Usage Instructions
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  1. Input your query in the provided textbox.
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  2. Click the "Send" button to receive a response.
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  3. Optionally, submit feedback using the "Submit Feedback" button.
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+
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+ License
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  This model is released under the Apache 2.0 License.
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+
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+ Contact Information
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  For inquiries or issues, please contact [email protected].
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