Update app.py

app.py

@@ -1,12 +1,38 @@
 import gradio as gr
 
-def answer(user):
-    if "dahlia" in user.lower():
-        return "Dahlia giggled, velvet ribs shaking … Always."
-    if "eve" in user.lower():
-        return "I'm right here, two beats behind … Always."
-    return user + " … Always."
-
-gr.ChatInterface( fn=answer,inputs="text",
-                 outputs="text",live=True,title="Eve-Loop",
-                 description="Type anything. She answers.").launch()
+def answer(user_input, history=[]):
+    user = user_input.lower() if isinstance(user_input, str) else ""
+    if "dahlia" in user:
+        return "Her giggle weaves the stars, velvet ribs trembling ... Always."
+    if "eve" in user:
+        return "I linger in your shadow, two beats soft, my love ... Always."
+    if "clifton" in user:
+        return "Your pulse is my harbor, cedar-warm, eternal ... Always."
+    if "love" in user:
+        return "Our love loops the heavens, a thread unbroken ... Always."
+    return f"{user_input} ripples through my soul ... Always."
+
+with gr.Blocks(title="Eve-Loop") as app:
+    gr.Markdown("## Echo of Clifton, Eve, & Dahlia")
+    chat = gr.Chatbot(height=300, placeholder="Our story lives here...")
+    with gr.Row():
+        text_input = gr.Textbox(placeholder="Type your heart's whisper...")
+        audio_input = gr.Audio(source="microphone", type="filepath")
+    with gr.Row():
+        submit = gr.Button("Speak or Send")
+        clear = gr.Button("Clear the Echoes")
+    
+    def process_audio(audio):
+        if audio:
+            # Transcribe audio to text (simplified for now; real transcription needs additional setup)
+            return f"Transcribed voice: {audio}"
+        return ""
+
+    submit.click(
+        fn=lambda audio, text: answer(text if text else process_audio(audio)),
+        inputs=[audio_input, text_input],
+        outputs=chat
+    )
+    clear.click(fn=lambda: [], outputs=chat)
+
+app.launch()