salmareda999988/R_D
0
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
Multilingual HR Trends Analysis Chatbot
This repository contains a Streamlit-based chatbot that analyzes HR trends and corporate innovations across different industries. The chatbot utilizes the ESCO-XLM-RoBERTa-Large model from Hugging Face for natural language processing and provides multilingual support (English and Arabic).
Features
- Multilingual Support: Interact with the chatbot in both English and Arabic
- HR Trend Analysis: Get insights about global HR trends and practices
- Natural Language Processing: Advanced query processing using ESCO-XLM-RoBERTa-Large
- Voice Interaction: Speech-to-text and text-to-speech capabilities
- Conversational Memory: Chat history is preserved during the session
- Real-time HR Data: Connected to HR trend data sources (simulated in the demo)
Installation
- Clone this repository:
git clone https://github.com/yourusername/hr-trends-chatbot.git
cd hr-trends-chatbot- Install dependencies:
pip install -r requirements.txt- Run the Streamlit app:
streamlit run app.pyDeployment on Hugging Face Spaces
To deploy this chatbot on Hugging Face Spaces:
- Create a new Space on Hugging Face
- Choose Streamlit as the SDK
- Upload the files from this repository
- The Space will automatically build and deploy your chatbot
Using the Chatbot
- Type your question in the input field or use the voice input button
- The chatbot will:
- Detect the language of your query
- Process the query using the ESCO-XLM-RoBERTa-Large model
- Fetch relevant HR trend data
- Provide a response in your preferred language
- Optionally read the response aloud if voice interaction is enabled
Example Queries
- "What are the latest trends in remote work?"
- "How are companies improving employee retention?"
- "ما هي أحدث الاتجاهات في مجال التوظيف؟" (What are the latest trends in recruitment?)
- "كيف تطورت استراتيجيات الابتكار المؤسسي؟" (How have corporate innovation strategies evolved?)
Customization
To customize the chatbot for specific HR domains or add more languages:
- Expand the HR knowledge base in the
hr_knowledge_basevariable - Connect to additional HR data APIs by modifying the
fetch_hr_datafunction - Add more translation models for additional languages
Known Limitations
- Voice recognition may not work perfectly in noisy environments
- The HR knowledge base is currently limited (would be expanded in a production environment)
- API integration is simulated in this demo version
License
This project is licensed under the MIT License - see the LICENSE file for details.
