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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:
```bash
pip install -r requirements.txt
```
3. Run the model:
```bash
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](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. |