README.md

import gradio as gr from transformers import AutoModelForCausalLM, AutoTokenizer from gtts import gTTS import os

Load Mistral 7B Chat Model

model_name = "mistralai/Mistral-7B-Instruct" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModelForCausalLM.from_pretrained(model_name)

Function to generate AI response

def chatbot_response(user_input): inputs = tokenizer(user_input, return_tensors="pt") outputs = model.generate(**inputs, max_length=200) response = tokenizer.decode(outputs[0], skip_special_tokens=True) return response

Function to convert AI response to speech

def text_to_speech(text): tts = gTTS(text=text, lang="en") filename = "response.mp3" tts.save(filename) return filename

Gradio Interface

def chat_interface(user_input): ai_response = chatbot_response(user_input) audio_file = text_to_speech(ai_response) return ai_response, audio_file

Launch Gradio UI

demo = gr.Interface( fn=chat_interface, inputs=gr.Textbox(label="Ask ZEAL.AI"), outputs=[gr.Textbox(label="AI Response"), gr.Audio(label="Text-to-Speech Output")], title="ZEAL.AI - Bible AI Chatbot", description="Ask anything and get a spoken response!" )

demo.launch()

## Installation (Local)

To run **Moodly** locally, follow these steps:

1. Clone the repository:

   ```bash
   git clone https://github.com/RummyAx/Mood-Parser.git

2. Install required libraries:

   pip install -r requirements.txt
   

3. Run the model:

   python app.py
   

This will allow you to use the model on your local machine.

Contributing

We welcome contributions to this project! To contribute:

1. Fork the repository
2. Create a new branch (git checkout -b feature-branch)
3. Commit your changes (git commit -am 'Add new feature')
4. Push to the branch (git push origin feature-branch)
5. Create a Pull Request

License

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

Acknowledgments

• Hugging Face for providing the platform and hosting the model.
• The authors of BERT and RoBERTa for their powerful transformer models.
• The open-source community for their contributions to NLP.

This updated README reflects the correct repository name `RummyAx/Mood-Parser` and includes links and API usage instructions for your Hugging Face project. Make sure to replace the `YOUR_HUGGINGFACE_API_KEY` placeholder with your actual Hugging Face API key.