Create app.py

app.py

@@ -0,0 +1,57 @@
+import gradio as gr
+import openai, config, subprocess
+openai.api_key = os.environ['API_TOKEN']
+
+messages = [{"role": "system", "content": 'You are a helpful technology assistant.'}]
+
+def audioGPT(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"]
+    messages.append(system_message)
+
+    chats = ""
+    for msg in messages:
+        if msg['role'] != 'system':
+            chats += msg['role'] + ": " + msg['content'] + "\n\n"
+
+    return chats
+
+
+def textGPT(text):
+    global messages
+
+    messages.append({"role": "user", "content": text})
+
+    response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages)
+
+    system_message = response["choices"][0]["message"]
+    messages.append(system_message)
+
+    chats = ""
+    for msg in messages:
+        if msg['role'] != 'system':
+            chats += msg['role'] + ": " + msg['content'] + "\n\n"
+
+    return chats
+
+
+
+
+
+
+
+text = gr.Interface(fn=textGPT, inputs="text", outputs="text")
+audio = gr.Interface(fn=audioGPT, inputs=gr.Audio(source="microphone", type="filepath"), outputs="text")
+demo = gr.TabbedInterface([text, audio], [ "chatGPT", "audioGPT"])
+
+if __name__ == "__main__":
+    demo.launch(share=True, auth=("os.environ['username']", "os.environ['password']"))
+    #demo.launch()