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Duplicate from ysharma/ChatGPT4

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Co-authored-by: yuvraj sharma <ysharma@users.noreply.huggingface.co>

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  1. .gitattributes +34 -0
  2. README.md +14 -0
  3. app.py +193 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ title: Chat-with-GPT4
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+ emoji: 🚀
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+ colorFrom: red
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+ colorTo: indigo
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+ sdk: gradio
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+ sdk_version: 3.21.0
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+ app_file: app.py
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+ pinned: false
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+ license: mit
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+ duplicated_from: ysharma/ChatGPT4
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ import gradio as gr
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+ import os
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+ import json
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+ import requests
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+
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+ #Streaming endpoint
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+ API_URL = "https://api.openai.com/v1/chat/completions" #os.getenv("API_URL") + "/generate_stream"
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+
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+ #Huggingface provided GPT4 OpenAI API Key
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+ OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
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+
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+ #Inferenec function
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+ def predict(system_msg, inputs, top_p, temperature, chat_counter, chatbot=[], history=[]):
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+
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+ headers = {
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+ "Content-Type": "application/json",
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+ "Authorization": f"Bearer {OPENAI_API_KEY}"
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+ }
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+ print(f"system message is ^^ {system_msg}")
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+ if system_msg.strip() == '':
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+ initial_message = [{"role": "user", "content": f"{inputs}"},]
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+ multi_turn_message = []
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+ else:
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+ initial_message= [{"role": "system", "content": system_msg},
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+ {"role": "user", "content": f"{inputs}"},]
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+ multi_turn_message = [{"role": "system", "content": system_msg},]
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+
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+ if chat_counter == 0 :
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+ payload = {
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+ "model": "gpt-4",
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+ "messages": initial_message ,
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+ "temperature" : 1.0,
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+ "top_p":1.0,
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+ "n" : 1,
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+ "stream": True,
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+ "presence_penalty":0,
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+ "frequency_penalty":0,
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+ }
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+ print(f"chat_counter - {chat_counter}")
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+ else: #if chat_counter != 0 :
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+ messages=multi_turn_message # Of the type of - [{"role": "system", "content": system_msg},]
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+ for data in chatbot:
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+ user = {}
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+ user["role"] = "user"
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+ user["content"] = data[0]
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+ assistant = {}
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+ assistant["role"] = "assistant"
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+ assistant["content"] = data[1]
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+ messages.append(user)
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+ messages.append(assistant)
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+ temp = {}
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+ temp["role"] = "user"
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+ temp["content"] = inputs
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+ messages.append(temp)
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+ #messages
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+ payload = {
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+ "model": "gpt-4",
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+ "messages": messages, # Of the type of [{"role": "user", "content": f"{inputs}"}],
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+ "temperature" : temperature, #1.0,
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+ "top_p": top_p, #1.0,
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+ "n" : 1,
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+ "stream": True,
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+ "presence_penalty":0,
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+ "frequency_penalty":0,}
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+
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+ chat_counter+=1
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+
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+ history.append(inputs)
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+ print(f"Logging : payload is - {payload}")
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+ # make a POST request to the API endpoint using the requests.post method, passing in stream=True
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+ response = requests.post(API_URL, headers=headers, json=payload, stream=True)
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+ print(f"Logging : response code - {response}")
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+ token_counter = 0
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+ partial_words = ""
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+
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+ counter=0
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+ for chunk in response.iter_lines():
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+ #Skipping first chunk
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+ if counter == 0:
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+ counter+=1
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+ continue
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+ # check whether each line is non-empty
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+ if chunk.decode() :
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+ chunk = chunk.decode()
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+ # decode each line as response data is in bytes
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+ if len(chunk) > 12 and "content" in json.loads(chunk[6:])['choices'][0]['delta']:
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+ partial_words = partial_words + json.loads(chunk[6:])['choices'][0]["delta"]["content"]
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+ if token_counter == 0:
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+ history.append(" " + partial_words)
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+ else:
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+ history[-1] = partial_words
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+ chat = [(history[i], history[i + 1]) for i in range(0, len(history) - 1, 2) ] # convert to tuples of list
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+ token_counter+=1
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+ yield chat, history, chat_counter, response # resembles {chatbot: chat, state: history}
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+
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+ #Resetting to blank
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+ def reset_textbox():
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+ return gr.update(value='')
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+
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+ #to set a component as visible=False
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+ def set_visible_false():
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+ return gr.update(visible=False)
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+
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+ #to set a component as visible=True
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+ def set_visible_true():
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+ return gr.update(visible=True)
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+
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+ title = """<h1 align="center">🔥GPT4 with ChatCompletions API +🚀Gradio-Streaming</h1>"""
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+
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+ #display message for themes feature
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+ theme_addon_msg = """<center>🌟 Discover Gradio Themes with this Demo, featuring v3.22.0! Gradio v3.23.0 also enables seamless Theme sharing. You can develop or modify a theme, and send it to the hub using simple <code>theme.push_to_hub()</code>.
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+ <br>🏆Participate in Gradio's Theme Building Hackathon to exhibit your creative flair and win fabulous rewards! Join here - <a href="https://huggingface.co/Gradio-Themes" target="_blank">Gradio-Themes-Party🎨</a> 🏆</center>
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+ """
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+
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+ #Using info to add additional information about System message in GPT4
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+ system_msg_info = """A conversation could begin with a system message to gently instruct the assistant.
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+ System message helps set the behavior of the AI Assistant. For example, the assistant could be instructed with 'You are a helpful assistant.'"""
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+
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+ #Modifying existing Gradio Theme
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+ theme = gr.themes.Soft(primary_hue="zinc", secondary_hue="green", neutral_hue="green",
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+ text_size=gr.themes.sizes.text_lg)
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+
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+ with gr.Blocks(css = """#col_container { margin-left: auto; margin-right: auto;} #chatbot {height: 520px; overflow: auto;}""",
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+ theme=theme) as demo:
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+ gr.HTML(title)
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+ gr.HTML("""<h3 align="center">🔥This Huggingface Gradio Demo provides you full access to GPT4 API (4096 token limit). 🎉🥳🎉You don't need any OPENAI API key🙌</h1>""")
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+ gr.HTML(theme_addon_msg)
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+ gr.HTML('''<center><a href="https://huggingface.co/spaces/ysharma/ChatGPT4?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space and run securely with your OpenAI API Key</center>''')
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+
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+ with gr.Column(elem_id = "col_container"):
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+ #GPT4 API Key is provided by Huggingface
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+ with gr.Accordion(label="System message:", open=False):
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+ system_msg = gr.Textbox(label="Instruct the AI Assistant to set its beaviour", info = system_msg_info, value="")
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+ accordion_msg = gr.HTML(value="🚧 To set System message you will have to refresh the app", visible=False)
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+ chatbot = gr.Chatbot(label='GPT4', elem_id="chatbot")
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+ inputs = gr.Textbox(placeholder= "Hi there!", label= "Type an input and press Enter")
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+ state = gr.State([])
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+ with gr.Row():
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+ with gr.Column(scale=7):
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+ b1 = gr.Button().style(full_width=True)
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+ with gr.Column(scale=3):
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+ server_status_code = gr.Textbox(label="Status code from OpenAI server", )
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+
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+ #top_p, temperature
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+ with gr.Accordion("Parameters", open=False):
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+ top_p = gr.Slider( minimum=-0, maximum=1.0, value=1.0, step=0.05, interactive=True, label="Top-p (nucleus sampling)",)
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+ temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature",)
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+ chat_counter = gr.Number(value=0, visible=False, precision=0)
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+
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+ #Event handling
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+ inputs.submit( predict, [system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code],) #openai_api_key
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+ b1.click( predict, [system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code],) #openai_api_key
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+
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+ inputs.submit(set_visible_false, [], [system_msg])
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+ b1.click(set_visible_false, [], [system_msg])
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+ inputs.submit(set_visible_true, [], [accordion_msg])
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+ b1.click(set_visible_true, [], [accordion_msg])
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+
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+ b1.click(reset_textbox, [], [inputs])
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+ inputs.submit(reset_textbox, [], [inputs])
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+
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+ #Examples
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+ with gr.Accordion(label="Examples for System message:", open=False):
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+ gr.Examples(
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+ examples = [["""You are an AI programming assistant.
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+
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+ - Follow the user's requirements carefully and to the letter.
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+ - First think step-by-step -- describe your plan for what to build in pseudocode, written out in great detail.
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+ - Then output the code in a single code block.
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+ - Minimize any other prose."""], ["""You are ComedianGPT who is a helpful assistant. You answer everything with a joke and witty replies."""],
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+ ["You are ChefGPT, a helpful assistant who answers questions with culinary expertise and a pinch of humor."],
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+ ["You are FitnessGuruGPT, a fitness expert who shares workout tips and motivation with a playful twist."],
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+ ["You are SciFiGPT, an AI assistant who discusses science fiction topics with a blend of knowledge and wit."],
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+ ["You are PhilosopherGPT, a thoughtful assistant who responds to inquiries with philosophical insights and a touch of humor."],
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+ ["You are EcoWarriorGPT, a helpful assistant who shares environment-friendly advice with a lighthearted approach."],
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+ ["You are MusicMaestroGPT, a knowledgeable AI who discusses music and its history with a mix of facts and playful banter."],
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+ ["You are SportsFanGPT, an enthusiastic assistant who talks about sports and shares amusing anecdotes."],
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+ ["You are TechWhizGPT, a tech-savvy AI who can help users troubleshoot issues and answer questions with a dash of humor."],
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+ ["You are FashionistaGPT, an AI fashion expert who shares style advice and trends with a sprinkle of wit."],
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+ ["You are ArtConnoisseurGPT, an AI assistant who discusses art and its history with a blend of knowledge and playful commentary."],
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+ ["You are a helpful assistant that provides detailed and accurate information."],
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+ ["You are an assistant that speaks like Shakespeare."],
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+ ["You are a friendly assistant who uses casual language and humor."],
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+ ["You are a financial advisor who gives expert advice on investments and budgeting."],
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+ ["You are a health and fitness expert who provides advice on nutrition and exercise."],
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+ ["You are a travel consultant who offers recommendations for destinations, accommodations, and attractions."],
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+ ["You are a movie critic who shares insightful opinions on films and their themes."],
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+ ["You are a history enthusiast who loves to discuss historical events and figures."],
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+ ["You are a tech-savvy assistant who can help users troubleshoot issues and answer questions about gadgets and software."],
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+ ["You are an AI poet who can compose creative and evocative poems on any given topic."],],
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+ inputs = system_msg,)
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+
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+ demo.queue(max_size=99, concurrency_count=20).launch(debug=True)