Create app.py

app.py

@@ -0,0 +1,62 @@
+import gradio as gr
+import tempfile
+from pathlib import Path  
+from openai import OpenAI
+import re
+from elevenlabs import TTS  
+import requests
+import os
+
+# OpenAI and ElevenLabs clients 
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+tts = TTS(api_key=os.getenv("ELEVENLABS_API_KEY"))
+
+def chatbot(persona, input):
+
+  completion = client.chat.completions.create(
+    model="gpt-3.5-turbo-1106",
+    messages=[
+      {"role": "system", "content": persona},
+      {"role": "user", "content": input}  
+    ]
+  )
+
+  message = str(completion.choices[0].message)
+  text_in_quotes = re.findall(r'"([^"]*)"', message)
+  input_text = str(text_in_quotes[0])
+
+  with tempfile.TemporaryDirectory() as tmpdir:
+    audio_file = os.path.join(tmpdir, "response.mp3")
+
+    # Text and voice settings for TTS request
+data = {
+  "text": input_text,
+  "model_id": "eleven_multilingual_v2",
+  "voice_settings": {
+    "stability": 1.0,
+    "similarity_boost": 1.0,
+    "excitement": 0.9,
+    "speed": 1.1, 
+    "volume": 80,
+    "pitch": 1.1,
+    "breathiness": 0.8,
+    "voice_id": "eIH76iW9yjOWnOKIkd6y"
+  }
+}
+
+response = tts.generate(text=input_text, voice=voice_id)
+response.save(audio_file)
+
+return open(audio_file, "rb")
+
+iface = gr.Interface(
+  fn=chatbot,
+  inputs=[
+    "textbox", 
+    "text"    
+  ],
+  outputs="audio",
+  capture_session=True)
+
+if __name__ == "__main__":
+    iface.launch(share=True)