Create app.py

app.py

@@ -0,0 +1,56 @@
+import gradio as gr
+import openai
+import winsound
+from elevenlabslib import *
+from pydub import AudioSegment
+from pydub.playback import play
+import io
+import config
+
+openai.api_key = config.OPENAI_API_KEY
+api_key = config.ELEVENLABS_API_KEY
+from elevenlabslib import ElevenLabsUser
+user = ElevenLabsUser(api_key)
+
+messages = ["You are an advisor. Please respond to all input in 50 words or less."]
+
+def transcribe(audio):
+    global messages
+
+    audio_file = open(audio, "rb")
+    transcript = openai.Audio.transcribe("whisper-1", audio_file)
+
+    messages.append(f"\nUser: {transcript['text']}")
+
+    response = openai.Completion.create(
+        engine="text-davinci-003",
+        prompt=messages[-1],
+        max_tokens=80,
+        n=1,
+        stop=None,
+        temperature=0.5,
+    )
+
+    system_message = response["choices"][0]["text"]
+    messages.append(f"{system_message}")
+
+    voice = user.get_voices_by_name("Antoni")[0]
+    audio = voice.generate_audio_bytes(system_message)
+
+    audio = AudioSegment.from_file(io.BytesIO(audio), format="mp3")
+    audio.export("output.wav", format="wav")
+
+    winsound.PlaySound("output.wav", winsound.SND_FILENAME)
+
+    chat_transcript = "\n".join(messages)
+    return chat_transcript
+
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(source="microphone", type="filepath", placeholder="Please start speaking..."),
+    outputs="text",
+    title="🤖 My Desktop ChatGPT Assistant 🤖",
+    description="🌟 Please ask me your question and I will respond both verbally and in text to you...",
+)
+
+iface.launch()