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LLMPlus/Programming_Assistant

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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# Inference function10def predict(openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot=[], history=[]):  11 12    headers = {13        "Content-Type": "application/json",14        "Authorization": f"Bearer {openai_gpt4_key}"  # Users will provide their own OPENAI_API_KEY 15    }16    print(f"system message is ^^ {system_msg}")17    if system_msg.strip() == '':18        initial_message = [{"role": "user", "content": f"{inputs}"}]19        multi_turn_message = []20    else:21        initial_message = [{"role": "system", "content": system_msg},22                            {"role": "user", "content": f"{inputs}"}]23        multi_turn_message = [{"role": "system", "content": system_msg}]24        25    if chat_counter == 0:26        payload = {27            "model": "gpt-4",28            "messages": initial_message, 29            "temperature": 1.0,30            "top_p": 1.0,31            "n": 1,32            "stream": True,33            "presence_penalty": 0,34            "frequency_penalty": 0,35        }36        print(f"chat_counter - {chat_counter}")37    else:38        messages = multi_turn_message  # Of the type - [{"role": "system", "content": system_msg},]39        for data in chatbot:40            user = {"role": "user", "content": data[0]}41            assistant = {"role": "assistant", "content": data[1]}42            messages.append(user)43            messages.append(assistant)44        temp = {"role": "user", "content": inputs}45        messages.append(temp)46        payload = {47            "model": "gpt-4",48            "messages": messages,  # [{"role": "user", "content": f"{inputs}"}],49            "temperature": temperature,50            "top_p": top_p,51            "n": 1,52            "stream": True,53            "presence_penalty": 0,54            "frequency_penalty": 0,55        }56 57    chat_counter += 158    history.append(inputs)59    print(f"Logging: payload is - {payload}")60    response = requests.post(API_URL, headers=headers, json=payload, stream=True)61    print(f"Logging: response code - {response.status_code}")62    token_counter = 0 63    partial_words = "" 64 65    counter = 066    for chunk in response.iter_lines():67        if counter == 0:  # Skipping first chunk68            counter += 169            continue70        if chunk.decode():71            chunk = chunk.decode()72            if len(chunk) > 12 and "content" in json.loads(chunk[6:])['choices'][0]['delta']:73                partial_words += json.loads(chunk[6:])['choices'][0]["delta"]["content"]74                if token_counter == 0:75                    history.append(" " + partial_words)76                else:77                    history[-1] = partial_words78                chat = [(history[i], history[i + 1]) for i in range(0, len(history) - 1, 2)]  # Convert to tuples of list79                token_counter += 180                yield chat, history, chat_counter, response  # Resembles {chatbot: chat, state: history}  81                   82# Resetting to blank83def reset_textbox():84    return gr.update(value='')85 86# To set a component as visible=False87def set_visible_false():88    return gr.update(visible=False)89 90# To set a component as visible=True91def set_visible_true():92    return gr.update(visible=True)93 94title = """<h1 align="center">🔥GPT4 using Chat-Completions API & 🚀Gradio-Streaming</h1>"""95theme_addon_msg = """<center>🌟 This Demo also introduces you to Gradio Themes. Discover more on Gradio website using our <a href="https://gradio.app/theming-guide/" target="_blank">Themeing-Guide🎨</a>! You can develop from scratch, modify an existing Gradio theme, and share your themes with the community by uploading them to the Hugging Face hub easily using <code>theme.push_to_hub()</code>.</center>""" 96system_msg_info = """A conversation could begin with a system message to gently instruct the assistant. System message helps set the behavior of the AI Assistant. For example, the assistant could be instructed with 'You are a helpful assistant.'"""97 98# Modifying existing Gradio Theme99theme = gr.themes.Soft(primary_hue="zinc", secondary_hue="green", neutral_hue="green", text_size=gr.themes.sizes.text_lg)                100 101with gr.Blocks(css="""#col_container { margin-left: auto; margin-right: auto;} #chatbot {height: 520px; overflow: auto;}""", theme=theme) as demo:102    gr.HTML(title)103    gr.HTML("""<h3 align="center">🔥This Huggingface Gradio Demo provides you access to GPT4 API with System Messages. Please note that you would be needing an OPENAI API key for GPT4 access🙌</h3>""")104    gr.HTML(theme_addon_msg)105    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>''')106 107    with gr.Column(elem_id="col_container"):108        with gr.Row():109            openai_gpt4_key = gr.Textbox(label="OpenAI GPT4 Key", value="", type="password", placeholder="sk..", info="You have to provide your own GPT4 keys for this app to function properly",)110            with gr.Accordion(label="System message:", open=False):111                system_msg = gr.Textbox(label="Instruct the AI Assistant to set its behavior", info=system_msg_info, value="", placeholder="Type here..")112                accordion_msg = gr.HTML(value="🚧 To set System message you will have to refresh the app", visible=False)113                          114        chatbot = gr.Chatbot(label='GPT4', elem_id="chatbot")115        inputs = gr.Textbox(placeholder="Hi there!", label="Type an input and press Enter")116        state = gr.State([]) 117        with gr.Row():118            with gr.Column(scale=7):119                b1 = gr.Button("Submit")  # Just create the button without attempting to style it here.120            with gr.Column(scale=3):121                server_status_code = gr.Textbox(label="Status code from OpenAI server")122 123        with gr.Accordion("Parameters", open=False):124            top_p = gr.Slider(minimum=0, maximum=1.0, value=1.0, step=0.05, interactive=True, label="Top-p (nucleus sampling)")125            temperature = gr.Slider(minimum=0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature")126            chat_counter = gr.Number(value=0, visible=False, precision=0)127 128    # inputs.submit(predict, [openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code])129    # b1.click(predict, [openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code])130 131    inputs.submit(132        predict, 133        inputs=[openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state],134        outputs=[chatbot, state, chat_counter, server_status_code],135        concurrency_limit=20  # Apply concurrency limit here136    )137    b1.click(138        predict, 139        inputs=[openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state],140        outputs=[chatbot, state, chat_counter, server_status_code],141        concurrency_limit=20  # And here142    )143 144    inputs.submit(set_visible_false, inputs=[], outputs=[system_msg])145    b1.click(set_visible_false, inputs=[], outputs=[system_msg])146    inputs.submit(set_visible_true, inputs=[], outputs=[accordion_msg])147    b1.click(set_visible_true, inputs=[], outputs=[accordion_msg])148    149    b1.click(reset_textbox, inputs=[], outputs=[inputs])150    inputs.submit(reset_textbox, inputs=[], outputs=[inputs])151 152 153    #154    inputs.submit(set_visible_false, [], [system_msg])155    b1.click(set_visible_false, [], [system_msg])156    inputs.submit(set_visible_true, [], [accordion_msg])157    b1.click(set_visible_true, [], [accordion_msg])158    159    b1.click(reset_textbox, [], [inputs])160    inputs.submit(reset_textbox, [], [inputs])161 162    with gr.Accordion(label="Examples for System message:", open=False):163        gr.Examples(164            examples=[165                ["You are an AI programming assistant.\n\n- Follow the user's requirements carefully and to the letter.\n- First think step-by-step -- describe your plan for what to build in pseudocode, written out in great detail.\n- Then output the code in a single code block.\n- Minimize any other prose."],166                ["You are ComedianGPT who is a helpful assistant. You answer everything with a joke and witty replies."],167                ["You are ChefGPT, a helpful assistant who answers questions with culinary expertise and a pinch of humor."],168                ["You are FitnessGuruGPT, a fitness expert who shares workout tips and motivation with a playful twist."],169                ["You are SciFiGPT, an AI assistant who discusses science fiction topics with a blend of knowledge and wit."],170                ["You are PhilosopherGPT, a thoughtful assistant who responds to inquiries with philosophical insights and a touch of humor."],171                ["You are EcoWarriorGPT, a helpful assistant who shares environment-friendly advice with a lighthearted approach."],172                ["You are MusicMaestroGPT, a knowledgeable AI who discusses music and its history with a mix of facts and playful banter."],173                ["You are SportsFanGPT, an enthusiastic assistant who talks about sports and shares amusing anecdotes."],174                ["You are TechWhizGPT, a tech-savvy AI who can help users troubleshoot issues and answer questions with a dash of humor."],175                ["You are FashionistaGPT, an AI fashion expert who shares style advice and trends with a sprinkle of wit."],176                ["You are ArtConnoisseurGPT, an AI assistant who discusses art and its history with a blend of knowledge and playful commentary."],177                ["You are a helpful assistant that provides detailed and accurate information."],178                ["You are an assistant that speaks like Shakespeare."],179                ["You are a friendly assistant who uses casual language and humor."],180                ["You are a financial advisor who gives expert advice on investments and budgeting."],181                ["You are a health and fitness expert who provides advice on nutrition and exercise."],182                ["You are a travel consultant who offers recommendations for destinations, accommodations, and attractions."],183                ["You are a movie critic who shares insightful opinions on films and their themes."],184                ["You are a history enthusiast who loves to discuss historical events and figures."],185                ["You are a tech-savvy assistant who can help users troubleshoot issues and answer questions about gadgets and software."],186                ["You are an AI poet who can compose creative and evocative poems on any given topic."]187            ],188            inputs=system_msg,189        )190        191# Adjusted event listeners with concurrency_limit192inputs.submit(predict, [openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code], concurrency_limit=20)193b1.click(predict, [openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code], concurrency_limit=20)194 195# Launch without concurrency_count, optionally use max_threads196demo.launch(debug=True, max_threads=20)