This chatbot is built using the LangChain library, which leverages the OpenAI GPT model to generate responses in the style of Harvey Specter. The project includes a Streamlit app for easy interaction and a dataset (harv_dataset.csv) containing responses for training and retrieval.
- Clone the repository:
git clone https://github.com/yourusername/HarveySpecterChatbot.git cd HarveySpecterChatbot
Certainly! Below is a basic template for your Readme.md file. Make sure to customize it according to your project's specific details and requirements.
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HarveySpecterChatbot is an AI-powered chatbot that emulates the sharp wit and legal expertise of Harvey Specter from Suits. Get quick and savvy responses to your questions, just as if you were consulting the legendary legal mind himself.
This chatbot is built using the LangChain library, which leverages the OpenAI GPT model to generate responses in the style of Harvey Specter. The project includes a Streamlit app for easy interaction and a dataset (harv_dataset.csv) containing responses for training and retrieval.
- Clone the repository:
git clone https://github.com/yourusername/HarveySpecterChatbot.git cd HarveySpecterChatbot
pip install -r requirements.txt
Add your own OpenAi Api key in apikey file key = "your_openai_api_key_here"
Run the Streamlit app: streamlit run app.py Visit the provided URL to interact with HarveySpecterChatbot and get responses in the style of Harvey Specter.
The chatbot relies on a dataset (harv_dataset.csv) for retrieval-based responses. Make sure this dataset is appropriately populated for the chatbot to generate contextually relevant answers.
Feel free to contribute to the project by opening issues, suggesting improvements, or submitting pull requests. All contributions are welcome!
This project is licensed under the MIT License.