Sentiment Analysis: Analyze text sentiment to gauge opinions.

Language Translator: Translate text between languages.

Speech Synthesis: Convert text to speech.

Summarization: Automatically summarize text content.

Table Question Answering System: Extract answers from tabular data.

Question Answering System: Retrieve answers to user queries.

Choose NLP Operation: Select from the available NLP tasks.

Input Text: Provide the text or data to be processed.

Perform NLP Task: Click the task-specific button to execute the chosen NLP operation.

View Results: Observe the results, which may include sentiment scores, translated text, synthesized speech, summarized content, or extracted answers.

Interactive UI with Streamlit: Utilized the Streamlit web framework to create a user-friendly and interactive interface for seamless NLP operations.

Natural Language Processing (NLP)

Streamlit Web Framework

Hugging Face Models

Hugging Face Spaces

Sentiment Analysis

Language Translation

Speech Synthesis

Text Summarization

Table Question Answering

QA Systems

Implemented Sentiment Analysis with accurate sentiment scoring for text analysis.

Developed Language Translator for smooth translation between various languages.

Engineered Speech Synthesis module for converting text to natural and clear speech.

Orchestrated Summarization feature for automatic summarization of text content.

Created Table QA system for extracting answers from tabular data.

Implemented QA system for retrieving relevant answers to user queries.

Deployed a Streamlit application effortlessly on Hugging Face Spaces, ensuring a smooth and efficient deployment experience for users.