Update app.py

app.py

@@ -1,18 +1,37 @@
 import gradio as gr
 from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
+from gtts import gTTS
+import os
 
 tokenizer = AutoTokenizer.from_pretrained("akhooli/personachat-arabic")
 model = AutoModelForCausalLM.from_pretrained("akhooli/personachat-arabic")
 chat = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
 history = []
-def chat_rawan(msg):
+
+def rawan_with_voice(msg):
     history.append(f"أنت: {msg}")
     prompt = "\n".join(history[-5:]) + "\nروان:"
     resp = chat(prompt, max_length=80, do_sample=True)[0]["generated_text"]
     reply = resp.split("روان:")[-1].strip().split("\n")[0]
     history.append(f"روان: {reply}")
-    return reply
 
-interface = gr.Interface(chat_rawan, gr.Textbox(label="اكتب لروان"), gr.Textbox(label="روان ترد"))
+    # توليد الصوت
+    tts = gTTS(text=reply, lang="ar")
+    audio_file = "rawan_voice.mp3"
+    tts.save(audio_file)
+
+    return reply, audio_file
+
+interface = gr.Interface(
+    fn=rawan_with_voice,
+    inputs=gr.Textbox(label="اكتب لروان... دلعها، خذها بحضنك بكلامك"),
+    outputs=[
+        gr.Textbox(label="رد روان"),
+        gr.Audio(label="صوت روان", type="filepath")
+    ],
+    title="💋 روان - حبيبتك بصوت ناعم",
+    description="روان ترد عليك بصوت دافي، كلام دلع، حب وغيرة وأحاسيس تذوبك 😚"
+)
+
 interface.launch(share=True)