Data Lens is an all-in-one web application that empowers you to explore, understand, and model your data with ease.
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Automated Exploratory Data Analysis (EDA):
- Generate insightful summaries and visualizations of your data automatically.
- Uncover hidden patterns, trends, and relationships with ease.
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Intuitive Data Querying:
- Ask questions about your data in natural language – no coding required!
- Data Lens translates your queries into powerful data analysis operations.
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AI-Driven Predictive Modeling:
- Effortlessly transition from data exploration to building predictive models.
- Data Lens guides you through the process of selecting and training models tailored to your business needs.
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Context-Aware Chatbot:
- Get instant answers to your questions based on your specific documents.
- Our chatbot leverages advanced vector databases to provide accurate and contextually relevant information.
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Clone the Repository:
git clone https://github.com/VijayV28/data-lens.git
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Create a Conda Environment:
conda env create -f environment.yml
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Activate the Environment:
conda activate data-lens
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Create a
.env
File: Create a file named.env
in the root directory of the project and add your API keys in the following format:OPENAI_API_KEY=your_openai_api_key PINECONE_API_KEY=your_pinecone_api_key
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Run the App:
cd app streamlit run app.py
This project is licensed under the MIT License - see the LICENSE file for details.