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| import os | |
| import gradio as gr | |
| from together import Together | |
| # Function to interact with the model and process responses | |
| def chatbot_response(query): | |
| # Hugging Face API key setup (replace with your actual key) | |
| api_key = os.getenv("TOGETHER_API_KEY") | |
| if not api_key: | |
| return "Error: API key not found. Please configure your TOGETHER_API_KEY." | |
| client = Together(api_key=api_key) | |
| # Chat request to Hugging Face model | |
| response = client.chat.completions.create( | |
| model="NousResearch/Hermes-3-Llama-3.1-405B-Turbo", | |
| messages=[{"role": "user", "content": query}], | |
| ) | |
| # Extract and return the response | |
| return response.choices[0].message.content | |
| # Navigation and feature-specific responses | |
| def website_navigation(query): | |
| lower_query = query.lower() | |
| if "mentorship" in lower_query: | |
| return "You can explore our mentorship programs here: [Mentorship Program](#)" | |
| elif "alumni events" in lower_query or "meetups" in lower_query: | |
| return "Check out upcoming alumni events: [Alumni Events](#)" | |
| elif "career guidance" in lower_query: | |
| return "For career guidance sessions, visit: [Career Guidance](#)" | |
| elif "academic support" in lower_query: | |
| return "Need academic support? Find resources here: [Academic Support](#)" | |
| elif "placement assistance" in lower_query: | |
| return "Our placement assistance services are available here: [Placement Assistance](#)" | |
| elif "forums" in lower_query or "discussions" in lower_query: | |
| return "Join discussions on our forum: [Discussion Forums](#)" | |
| else: | |
| # Fallback to AI-generated responses | |
| return chatbot_response(query) | |
| # Gradio Interface | |
| with gr.Blocks() as demo: | |
| gr.Markdown("<h1>Alumni-Student Interaction Platform Assistant</h1>") | |
| gr.Markdown("Ask me about mentorship, alumni events, career guidance, academic support, placement assistance, or anything related to our platform.") | |
| chatbot = gr.Chatbot() | |
| query_input = gr.Textbox(placeholder="Type your question here (e.g., 'How can I find career guidance?')") | |
| def respond(query, chat_history): | |
| # Get response from website navigation or AI | |
| response = website_navigation(query) | |
| chat_history.append((query, response)) | |
| return chat_history, chat_history | |
| query_input.submit(respond, [query_input, chatbot], [chatbot, chatbot]) | |
| # Launch the app | |
| demo.launch() | |