unity2009/swarm-agents

1import gradio as gr2import os 3import json 4import requests5 6#Streaming endpoint 7API_URL = "https://api.openai.com/v1/chat/completions" #os.getenv("API_URL") + "/generate_stream"8 9#Huggingface provided GPT4 OpenAI API Key 10OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") 11 12#Inferenec function13def predict(system_msg, inputs, top_p, temperature, chat_counter, chatbot=[], history=[]):  14 15    headers = {16    "Content-Type": "application/json",17    "Authorization": f"Bearer {OPENAI_API_KEY}"18    }19    print(f"system message is ^^ {system_msg}")20    if system_msg.strip() == '':21        initial_message = [{"role": "user", "content": f"{inputs}"},]22        multi_turn_message = []23    else:24        initial_message= [{"role": "system", "content": system_msg},25                   {"role": "user", "content": f"{inputs}"},]26        multi_turn_message = [{"role": "system", "content": system_msg},]27        28    if chat_counter == 0 :29        payload = {30        "model": "gpt-3.5-turbo",31        "messages": initial_message , 32        "temperature" : 1.0,33        "top_p":1.0,34        "n" : 1,35        "stream": True,36        "presence_penalty":0,37        "frequency_penalty":0,38        }39        print(f"chat_counter - {chat_counter}")40    else: #if chat_counter != 0 :41        messages=multi_turn_message # Of the type of - [{"role": "system", "content": system_msg},]42        for data in chatbot:43          user = {}44          user["role"] = "user" 45          user["content"] = data[0] 46          assistant = {}47          assistant["role"] = "assistant" 48          assistant["content"] = data[1]49          messages.append(user)50          messages.append(assistant)51        temp = {}52        temp["role"] = "user" 53        temp["content"] = inputs54        messages.append(temp)55        #messages56        payload = {57        "model": "gpt-3.5-turbo",58        "messages": messages, # Of the type of [{"role": "user", "content": f"{inputs}"}],59        "temperature" : temperature, #1.0,60        "top_p": top_p, #1.0,61        "n" : 1,62        "stream": True,63        "presence_penalty":0,64        "frequency_penalty":0,}65 66    chat_counter+=167 68    history.append(inputs)69    print(f"Logging : payload is - {payload}")70    # make a POST request to the API endpoint using the requests.post method, passing in stream=True71    response = requests.post(API_URL, headers=headers, json=payload, stream=True)72    print(f"Logging : response code - {response}")73    token_counter = 0 74    partial_words = "" 75 76    counter=077    for chunk in response.iter_lines():78        #Skipping first chunk79        if counter == 0:80          counter+=181          continue82        # check whether each line is non-empty83        if chunk.decode() :84          chunk = chunk.decode()85          # decode each line as response data is in bytes86          if len(chunk) > 12 and "content" in json.loads(chunk[6:])['choices'][0]['delta']:87              partial_words = partial_words + json.loads(chunk[6:])['choices'][0]["delta"]["content"]88              if token_counter == 0:89                history.append(" " + partial_words)90              else:91                history[-1] = partial_words92              chat = [(history[i], history[i + 1]) for i in range(0, len(history) - 1, 2) ]  # convert to tuples of list93              token_counter+=194              yield chat, history, chat_counter, response  # resembles {chatbot: chat, state: history}  95                   96#Resetting to blank97def reset_textbox():98    return gr.update(value='')99 100#to set a component as visible=False101def set_visible_false():102    return gr.update(visible=False)103 104#to set a component as visible=True105def set_visible_true():106    return gr.update(visible=True)107 108title = """<h1 align="center">🔍 Swarm Intelligence Agents 🐜🔎</h1>"""109 110#display message for themes feature111theme_addon_msg = """<center>🌟 he swarm of agents combines a huge number of parallel agents divided into roles, including examiners, QA, evaluators, managers, analytics, and googlers. 112<br>🏆The agents use smart task decomposition and optimization processes to ensure accurate and efficient research on any topic.🎨</center>113"""114 115#Using info to add additional information about System message in GPT4116system_msg_info = """Swarm pre-configured for best practices using whitelists of top internet resources'"""117 118#Modifying existing Gradio Theme119theme = gr.themes.Soft(primary_hue="zinc", secondary_hue="green", neutral_hue="green",120                      text_size=gr.themes.sizes.text_lg)                121 122with gr.Blocks(css = """#col_container { margin-left: auto; margin-right: auto;} #chatbot {height: 520px; overflow: auto;}""",123                      theme=theme) as demo:124    gr.HTML(title)125    gr.HTML("""<h3 align="center">🔥Using a swarm of automated agents, we can perform fast and accurate research on any topic. 🚀🐝. 🎉🥳🎉You don't need to spent tons of hours during reseachy🙌</h1>""")126    gr.HTML(theme_addon_msg)127    gr.HTML('''<center><a href="https://huggingface.co/spaces/swarm-agents/swarm-agents?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space and run securely with your OpenAI API Key</center>''')128 129    with gr.Column(elem_id = "col_container"):130        #GPT4 API Key is provided by Huggingface 131        with gr.Accordion(label="System message:", open=False):132            system_msg = gr.Textbox(label="Instruct the AI Assistant to set its beaviour", info = system_msg_info, value="")133            accordion_msg = gr.HTML(value="🚧 To set System message you will have to refresh the app", visible=False)134        chatbot = gr.Chatbot(label='Swarm Intelligence Search', elem_id="chatbot")135        inputs = gr.Textbox(placeholder= "Enter your search query here...", label= "Type an input and press Enter")136        state = gr.State([]) 137        with gr.Row():138            with gr.Column(scale=7):139                b1 = gr.Button().style(full_width=True)140            with gr.Column(scale=3):141                server_status_code = gr.Textbox(label="Status code from OpenAI server", )142    143        #top_p, temperature144        with gr.Accordion("Parameters", open=False):145            top_p = gr.Slider( minimum=-0, maximum=1.0, value=1.0, step=0.05, interactive=True, label="Top-p (nucleus sampling)",)146            temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature",)147            chat_counter = gr.Number(value=0, visible=False, precision=0)148 149    #Event handling150    inputs.submit( predict, [system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code],)  #openai_api_key151    b1.click( predict, [system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code],)  #openai_api_key152    153    inputs.submit(set_visible_false, [], [system_msg])154    b1.click(set_visible_false, [], [system_msg])155    inputs.submit(set_visible_true, [], [accordion_msg])156    b1.click(set_visible_true, [], [accordion_msg])157    158    b1.click(reset_textbox, [], [inputs])159    inputs.submit(reset_textbox, [], [inputs])160        161demo.queue(max_size=99, concurrency_count=20).launch(debug=True)