create app.py

app.py

@@ -0,0 +1,62 @@
+import whisper
+import gradio as gr 
+import openai
+from TTS.api import TTS
+# Create an instance of the TTS class
+tts = TTS()
+
+# Call the list_models() method on the instance
+model_list = tts.list_models()
+
+# Now, you can access the models in the model_list and choose one
+model_name = model_list[9]
+
+# Create another instance of the TTS class with the selected model
+tts = TTS(model_name)
+tts.tts_to_file(text="I love playing Chess", file_path="output.wav")
+from IPython.display import Audio, display
+
+display(Audio('output.wav', autoplay=True))
+model = whisper.load_model("medium")
+openai.api_key = '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'
+def voice_chat(user_voice):
+
+    messages = [
+    {"role": "system", "content": "You are a kind helpful assistant."},
+    ]
+          
+    
+    user_message = model.transcribe(user_voice)["text"]
+
+    #reply = user_message
+
+    messages.append(
+        {"role": "user", "content": user_message},
+    )
+
+    print(messages)
+
+    chat = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo", messages=messages
+    )
+    
+    reply = chat.choices[0].message.content
+    
+    messages.append({"role": "assistant", "content": reply})
+
+    tts.tts_to_file(text=reply, file_path="output.wav")
+
+    return(reply, 'output.wav')
+text_reply = gr.Textbox(label="ChatGPT Text")
+voice_reply = gr.Audio('output.wav')
+
+gr.Interface(
+    title = 'AI Voice Assistant with ChatGPT AI', 
+    fn=voice_chat, 
+    inputs=[
+        gr.inputs.Audio(source="microphone", type="filepath")
+    ],
+
+    outputs=[
+        text_reply,  voice_reply
+    ], live = True).launch(debug = True)