Update app.py

app.py

@@ -13,6 +13,10 @@ import plotly.express as px
 import time
 import threading
 import random
+import openai
+
+# Replace with your OpenAI API key
+openai.api_key = "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"
 
 # Database setup for user authentication
 def init_db():
@@ -208,6 +212,18 @@ def generate_dashboard():
                                     title='Sustainability Score vs. Product Price')
     return lifecycle_fig, price_trend_fig, engagement_fig, sustainability_fig
 
+# Define chatbot function
+def chatbot_response(user_input):
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-4",
+            messages=[{"role": "system", "content": "You are an AI expert in circular economy and sustainable product recommendations."},
+                      {"role": "user", "content": user_input}]
+        )
+        return response["choices"][0]["message"]["content"]
+    except Exception as e:
+        return f"Error: {str(e)}"
+
 # Gradio Interfaces
 with gr.Blocks() as app:
     gr.Markdown("# 🔐 Circular Economy Marketplace")
@@ -268,6 +284,11 @@ with gr.Blocks() as app:
         ]
         dashboard_btn = gr.Button("Generate Dashboard")
         dashboard_btn.click(generate_dashboard, inputs=[], outputs=dashboard_outputs)
+    with gr.Tab("AI Chatbot"):
+        chatbot_input = gr.Textbox(label="Ask me anything about circular economy, product lifecycle, dynamic pricing, and recommendations!")
+        chatbot_output = gr.Textbox(label="AI Response")
+        chatbot_btn = gr.Button("Ask")
+        chatbot_btn.click(chatbot_response, inputs=chatbot_input, outputs=chatbot_output)
 
 # Simulate real-time data updates
 def live_update():