added app

app.py

@@ -0,0 +1,31 @@
+import openai
+import gradio as gr
+import subprocess
+openai.api_key =  "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"
+messages = [ { "role": "system", "content":"You are a helpful therapist. I am very concise and give short answers."} ]
+
+def transcribe(audio):
+    global messages
+    audio_file = open(audio, "rb")
+    transcript = openai.Audio.transcribe("whisper-1", audio_file)
+
+    messages.append({"role": "user", "content": transcript["text"]})
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=messages
+    )
+
+    system_message = response["choices"][0]["message"]["content"]
+
+    messages.append({ "role": "assistant", "content": system_message })
+
+    chat_transcript = ""
+    for message in messages:
+        if message['role'] != 'system':
+            chat_transcript += message['role'] + ": " + message['content'] + "\n----------------------\n"
+    subprocess.call(["say", system_message])
+    return chat_transcript
+
+
+ui = gr.Interface(fn=transcribe, inputs=gr.Audio(source="microphone", type="filepath"), outputs="text")
+ui.launch(share=True)