Update app.py

app.py

@@ -1,76 +1,4 @@
-import gradio as gr
-import time
-
-def print_like_dislike(x: gr.LikeData):
-    print(x.index, x.value, x.liked)
-
-def respond(message, history):
-    if not message:
-        return history
-
-    user_text = message.get("text", "") if isinstance(message, dict) else message
-    files = message.get("files", []) if isinstance(message, dict) else []
-
-    response = f"""
-**Your Question**: {user_text}
-**1. Understanding Your Need**  
-This is a project management task requiring an ethical, professional-grade prompt.
-**2. CLEAR + ROLE + SCARF Framework**  
-• **Role** → Senior PMI-certified Project Manager  
-• **Context** → MSc assignment with academic integrity rules  
-• **Learning Goal** → Build a prompt you can defend and cite  
-• **Expected Output** → Ready-to-copy with bias & autonomy checks  
-• **Audience** → Professor + future employer  
-• **SCARF Guardrails** → You keep final control (Autonomy, Fairness, Certainty)
-**3. Your Final Prompt**  
-(Here is your perfect, copy-paste-ready prompt — built with ethics first)
-**4. Critical Thinking Check**  
-Answer aloud before using:  
-1. Can I defend every word as my own judgment?  
-2. Did I check for bias?  
-3. Will I cite this assistance?  
-4. Am I still the Project Manager?
-**5.** Ready when you are — ask again to refine!"""
-
-    if files:
-        response += f"\n\n**Files received**: {len(files)} file(s) attached."
-
-    # Add user message to history
-    history.append({"role": "user", "content": user_text or "(file only)"})
-    history.append({"role": "assistant", "content": ""})
-
-    # Streaming response
-    for char in response:
-        history[-1]["content"] += char
-        time.sleep(0.015)
-        yield history
-
-with gr.Blocks(title="Ethical Student Project Bot") as demo:
-    gr.Markdown("# Ethical Project Management Chatbot for Students\n"
-                "Helps you create defensible, bias-checked prompts with PMI/SCARF ethics.")
-
-    chatbot = gr.Chatbot(height=600, like_user_message=True)
-
-    msg = gr.MultimodalTextbox(
-        placeholder="Ask about your assignment, upload files, or record audio...",
-        file_count="multiple",
-        file_types=[".pdf", ".docx", ".jpg", ".png", ".mp3", ".mp4"],
-        sources=["upload", "microphone"],
-        show_label=False,
-    )
-
-    gr.Examples(
-        examples=[
-            ["How should I structure a risk register for my MSc dissertation?"],
-            ["Help me write an ethical prompt for generating a Gantt chart"],
-        ],
-        inputs=msg,
-    )
-
-    msg.submit(respond, [msg, chatbot], chatbot).then(
-        lambda: gr.MultimodalTextbox(value=None, interactive=True), None, msg
-    )
-
-    chatbot.like(print_like_dislike)
+from gradio.sketch.run import create
 
+demo = create("test.py", "test.py.json")
 demo.launch()