Update app.py

app.py

@@ -27,39 +27,12 @@ iface = gr.Interface(
         ["Regulations", "How much cannabis can I buy in New Mexico."],
         ["Best Practices", "What are the best practices for managing inventory?"],
         ["General Question", "How to increase sales for my dispensary?"]
-    ],
-    theme="huggingface"
+    ]
+    
 )
 
 iface.launch()
 
-messages = [{"role": "system", "content": "You are an expert in Technical Support and Customer Service that specializes in New Mexico Cannabis Regulatory Compliance and training people how to use software called BioTrack"}]
 
-def CustomChatGPT(category, user_input):
-    user_input = "In the context of {category} specifically and using your expertise and knowledge of cannabis regulations in New Mexico and BioTrack" + user_input
-    messages.append({"role": "user", "content": user_input})
-    response = openai.ChatCompletion.create(
-    model="gpt-3.5-turbo",
-    messages=messages
-    )
-    ChatGPT_reply = response["choices"][0]["message"]["content"]
-    messages.append({"role": "assistant", "content": ChatGPT_reply})
-    return ChatGPT_reply
 
-iface = gr.Interface(
-    fn=CustomChatGPT, 
-    inputs=[gr.inputs.Dropdown(choices=['BioTrack', 'Regulations', 'Best Practices', 'General Question'], label='Category'), gr.inputs.Textbox(lines=1, placeholder='Type here...', label='Your Question')], 
-    outputs=gr.outputs.Textbox(label='AI Response'), 
-    title="CannaAssist AI Assistant",
-    description="Welcome to the CannaAssist AI Assistant. This tool is designed to provide expert guidance on BioTrack and cannabis regulations in New Mexico. DISCLAIMER: This is a proof of concept and not an official product.",
-    examples=[
-        ["BioTrack", "How to add wholesale flower into my inventory?"],
-        ["Regulations", "How much cannabis can I buy in New Mexico."],
-        ["Best Practices", "What are the best practices for managing inventory?"],
-        ["General Question", "How to increase sales for my dispensary?"]
-    ],
-    
-)
-
-iface.launch()