Create app.py

app.py

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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()