Upload folder using huggingface_hub

chat.py

@@ -20,9 +20,10 @@ for a in assistants:
 instruction = codecs.open("instruction.txt", "r", "utf-8").read()
 #instruction = "You are helpful assistant. Keep your responses clear and concise."
 model = "gpt-4o"
-#model = "gpt-3.5-turbo"
+model = "gpt-3.5-turbo"
 assistant = client.beta.assistants.create(name="Patient Sim", instructions=instruction, model=model)
 toggle_js = open("toggle_speech.js").read()
+play_js = open("play.js").read()
 
 def start_thread():
 	return client.beta.threads.create()
@@ -60,7 +61,7 @@ def speak(history):
 	speech = client.audio.speech.create(model="tts-1", voice="alloy", input=text)
 	audio = base64.b64encode(speech.read()).decode("utf-8")
 	src = f"data:audio/mpeg;base64,{audio}"
-	audio_element = f'<audio src="{src}" controls autoplay></audio>'
+	audio_element = f'<audio src="{src}"></audio>'
 	return audio_element
 
 def vote(data: gr.LikeData):
@@ -89,13 +90,12 @@ with gr.Blocks(title="Paitient Sim", css=css) as demo:
 		speech = gr.Button("Record", size="sm", elem_id="speech")
 		speech.click(None, js=toggle_js)
 		msg = gr.Textbox(label="Say something.", elem_id="textbox")
-		mic = gr.Microphone(type="filepath", format="mp3", editable=False, waveform_options={"show_controls": False}, visible=False)
+		mic = gr.Microphone(type="filepath", format="mp3", editable=False, waveform_options={"show_controls": False}, visible=False, elem_id="recorder")
 		thread = gr.State(start_thread)
-		audio_html = gr.HTML(visible=False)
+		audio_html = gr.HTML(visible=False, elem_id="player")
 		msg.submit(user, [msg, mic, chatbot, thread], [msg, chatbot]).then(
-			bot, [chatbot, thread], chatbot
-		).then(
-			speak, chatbot, audio_html
+			bot, [chatbot, thread], chatbot).then(
+			speak, chatbot, audio_html, js=play_js
 		)
 		mic.stop_recording(user, [msg, mic, chatbot, thread], [msg, chatbot]).then(
 			lambda:None, None, mic).then(