This project implements a chatbot using the GPT-2 model for generating responses based on input prompts.

The chatbot is built using the following components:

A pre-trained language model from Hugging Face Transformers library.

A Python framework for building APIs quickly and easily.

A Python library for building interactive web apps.

Generation of Text: Given an input prompt, the chatbot generates text based on the GPT-2 model.

Provides a RESTful API endpoint /generate/ to interact with the chatbot.

Uses Streamlit for a user-friendly web interface to interact with the chatbot.

Clone the repository:

bash Copy code git clone https://github.com/rushi-k12/Chatbot_GPT2.git cd Chatbot_GPT2 Install dependencies:

bash Copy code pip install -r requirements.txt

https://huggingface.co/spaces/rushi-k/app_11

Running the API bash Copy code uvicorn app:app --host 0.0.0.0 --port 8000 Access the API at http://localhost:8000. Running the Streamlit App bash Copy code streamlit run streamlit_app.py Access the Streamlit app in your browser at http://localhost:8501. API Endpoint Generate Text Endpoint: /generate/ Method: GET

prompt: The input prompt for generating text.

json Copy code { "generated_text": "Generated response from the chatbot." }

Contributions are welcome! If you'd like to improve the project, feel free to fork the repository and submit a pull request.

This project is licensed under the MIT License - see the LICENSE file for details.