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| import gradio as gr | |
| import os | |
| import json | |
| import requests | |
| #Streaming endpoint | |
| API_URL = "https://api.openai.com/v1/chat/completions" #os.getenv("API_URL") + "/generate_stream" | |
| # def handle_file(file_path, openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot=[], history=[]): | |
| # """ | |
| # New function to handle file content. | |
| # Reads the uploaded Python file and uses its content in the conversation. | |
| # """ | |
| # # Read the content of the uploaded file | |
| # with open(file_path, "r") as file: | |
| # file_content = file.read() | |
| # # Use the content of the file as part of your conversation | |
| # # For example, prepend the file content to the inputs or system message | |
| # # Here, we'll just pass the file_content as the system message for simplicity | |
| # return predict(openai_gpt4_key, file_content, inputs, top_p, temperature, chat_counter, chatbot, history) | |
| def handle_file(file_info, openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot=[], history=[]): | |
| if file_info is not None: | |
| # Read the content of the uploaded file directly from the file_info object | |
| file_content = file_info["content"].read().decode("utf-8") | |
| # Use the content as needed, for example, as the system message | |
| return predict(openai_gpt4_key, file_content, inputs, top_p, temperature, chat_counter, chatbot, history) | |
| else: | |
| return "No file uploaded." | |
| #Inferenec function | |
| def predict(openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot=[], history=[]): | |
| headers = { | |
| "Content-Type": "application/json", | |
| "Authorization": f"Bearer {openai_gpt4_key}" #Users will provide their own OPENAI_API_KEY | |
| } | |
| print(f"system message is ^^ {system_msg}") | |
| if system_msg.strip() == '': | |
| initial_message = [{"role": "user", "content": f"{inputs}"},] | |
| multi_turn_message = [] | |
| else: | |
| initial_message= [{"role": "system", "content": system_msg}, | |
| {"role": "user", "content": f"{inputs}"},] | |
| multi_turn_message = [{"role": "system", "content": system_msg},] | |
| if chat_counter == 0 : | |
| payload = { | |
| "model": "gpt-4", | |
| "messages": initial_message , | |
| "temperature" : 1.0, | |
| "top_p":1.0, | |
| "n" : 1, | |
| "stream": True, | |
| "presence_penalty":0, | |
| "frequency_penalty":0, | |
| } | |
| print(f"chat_counter - {chat_counter}") | |
| else: #if chat_counter != 0 : | |
| messages=multi_turn_message # Of the type of - [{"role": "system", "content": system_msg},] | |
| for data in chatbot: | |
| user = {} | |
| user["role"] = "user" | |
| user["content"] = data[0] | |
| assistant = {} | |
| assistant["role"] = "assistant" | |
| assistant["content"] = data[1] | |
| messages.append(user) | |
| messages.append(assistant) | |
| temp = {} | |
| temp["role"] = "user" | |
| temp["content"] = inputs | |
| messages.append(temp) | |
| #messages | |
| payload = { | |
| "model": "gpt-4", | |
| "messages": messages, # Of the type of [{"role": "user", "content": f"{inputs}"}], | |
| "temperature" : temperature, #1.0, | |
| "top_p": top_p, #1.0, | |
| "n" : 1, | |
| "stream": True, | |
| "presence_penalty":0, | |
| "frequency_penalty":0,} | |
| chat_counter+=1 | |
| history.append(inputs) | |
| print(f"Logging : payload is - {payload}") | |
| # make a POST request to the API endpoint using the requests.post method, passing in stream=True | |
| response = requests.post(API_URL, headers=headers, json=payload, stream=True) | |
| print(f"Logging : response code - {response}") | |
| token_counter = 0 | |
| partial_words = "" | |
| counter=0 | |
| for chunk in response.iter_lines(): | |
| #Skipping first chunk | |
| if counter == 0: | |
| counter+=1 | |
| continue | |
| # check whether each line is non-empty | |
| if chunk.decode() : | |
| chunk = chunk.decode() | |
| # decode each line as response data is in bytes | |
| if len(chunk) > 12 and "content" in json.loads(chunk[6:])['choices'][0]['delta']: | |
| partial_words = partial_words + json.loads(chunk[6:])['choices'][0]["delta"]["content"] | |
| if token_counter == 0: | |
| history.append(" " + partial_words) | |
| else: | |
| history[-1] = partial_words | |
| chat = [(history[i], history[i + 1]) for i in range(0, len(history) - 1, 2) ] # convert to tuples of list | |
| token_counter+=1 | |
| yield chat, history, chat_counter, response # resembles {chatbot: chat, state: history} | |
| #Resetting to blank | |
| def reset_textbox(): | |
| return gr.update(value='') | |
| #to set a component as visible=False | |
| def set_visible_false(): | |
| return gr.update(visible=False) | |
| #to set a component as visible=True | |
| def set_visible_true(): | |
| return gr.update(visible=True) | |
| title = """<h1 align="center">🔥GPT4 using Chat-Completions API & 🚀Gradio-Streaming</h1>""" | |
| #display message for themes feature | |
| theme_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 community by uploading them to huggingface-hub easily using <code>theme.push_to_hub()</code>.</center> | |
| """ | |
| #Using info to add additional information about System message in GPT4 | |
| system_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.'""" | |
| #Modifying existing Gradio Theme | |
| theme = gr.themes.Soft(primary_hue="zinc", secondary_hue="green", neutral_hue="green", | |
| text_size=gr.themes.sizes.text_lg) | |
| with gr.Blocks(css = """#col_container { margin-left: auto; margin-right: auto;} #chatbot {height: 520px; overflow: auto;}""", | |
| theme=theme) as demo: | |
| gr.HTML(title) | |
| 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🙌</h1>""") | |
| gr.HTML(theme_addon_msg) | |
| 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>''') | |
| with gr.Column(elem_id = "col_container"): | |
| #Users need to provide their own GPT4 API key, it is no longer provided by Huggingface | |
| with gr.Row(): | |
| 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",) | |
| with gr.Accordion(label="System message:", open=False): | |
| system_msg = gr.Textbox(label="Instruct the AI Assistant to set its beaviour", info = system_msg_info, value="",placeholder="Type here..") | |
| accordion_msg = gr.HTML(value="🚧 To set System message you will have to refresh the app", visible=False) | |
| chatbot = gr.Chatbot(label='GPT4', elem_id="chatbot") | |
| inputs = gr.Textbox(placeholder= "Hi there!", label= "Type an input and press Enter") | |
| state = gr.State([]) | |
| # Add a file upload component for Python files | |
| # file_upload = gr.File(label="Upload Python File", type="file", placeholder="Upload a Python file to start the conversation with its content") | |
| file_upload = gr.File(label="Upload Python File", type="file") # Removed 'placeholder' and corrected 'type' | |
| #top_p, temperature | |
| with gr.Accordion("Parameters", open=False): | |
| top_p = gr.Slider( minimum=-0, maximum=1.0, value=1.0, step=0.05, interactive=True, label="Top-p (nucleus sampling)",) | |
| temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature",) | |
| chat_counter = gr.Number(value=0, visible=False, precision=0) | |
| # Example modification for the input submission handler | |
| inputs.submit(handle_file, inputs=[file_upload, openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], outputs=[chatbot, state, chat_counter, server_status_code]) | |
| # inputs.submit(handle_file, inputs=[file_upload, openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], outputs=[chatbot, state, chat_counter, server_status_code]) | |
| # inputs.submit(handle_file, [file_upload, openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code]) | |
| # If you have a button for submission, modify its click handler similarly | |
| # b1.click(handle_file, [file_upload, openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code]) | |
| b1.click(handle_file, inputs=[file_upload, openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], outputs=[chatbot, state, chat_counter, server_status_code]) | |
| with gr.Row(): | |
| with gr.Column(scale=7): | |
| b1 = gr.Button().style(full_width=True) | |
| with gr.Column(scale=3): | |
| server_status_code = gr.Textbox(label="Status code from OpenAI server", ) | |
| #top_p, temperature | |
| with gr.Accordion("Parameters", open=False): | |
| top_p = gr.Slider( minimum=-0, maximum=1.0, value=1.0, step=0.05, interactive=True, label="Top-p (nucleus sampling)",) | |
| temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature",) | |
| chat_counter = gr.Number(value=0, visible=False, precision=0) | |
| #Event handling | |
| inputs.submit( predict, [openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code],) #openai_api_key | |
| b1.click( predict, [openai_gpt4_key, system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code],) #openai_api_key | |
| inputs.submit(set_visible_false, [], [system_msg]) | |
| b1.click(set_visible_false, [], [system_msg]) | |
| inputs.submit(set_visible_true, [], [accordion_msg]) | |
| b1.click(set_visible_true, [], [accordion_msg]) | |
| b1.click(reset_textbox, [], [inputs]) | |
| inputs.submit(reset_textbox, [], [inputs]) | |
| #Examples | |
| with gr.Accordion(label="Examples for System message:", open=False): | |
| gr.Examples( | |
| examples = [["""You are an AI programming assistant. | |
| - Follow the user's requirements carefully and to the letter. | |
| - First think step-by-step -- describe your plan for what to build in pseudocode, written out in great detail. | |
| - Then output the code in a single code block. | |
| - Minimize any other prose."""], ["""You are ComedianGPT who is a helpful assistant. You answer everything with a joke and witty replies."""], | |
| ["You are ChefGPT, a helpful assistant who answers questions with culinary expertise and a pinch of humor."], | |
| ["You are FitnessGuruGPT, a fitness expert who shares workout tips and motivation with a playful twist."], | |
| ["You are SciFiGPT, an AI assistant who discusses science fiction topics with a blend of knowledge and wit."], | |
| ["You are PhilosopherGPT, a thoughtful assistant who responds to inquiries with philosophical insights and a touch of humor."], | |
| ["You are EcoWarriorGPT, a helpful assistant who shares environment-friendly advice with a lighthearted approach."], | |
| ["You are MusicMaestroGPT, a knowledgeable AI who discusses music and its history with a mix of facts and playful banter."], | |
| ["You are SportsFanGPT, an enthusiastic assistant who talks about sports and shares amusing anecdotes."], | |
| ["You are TechWhizGPT, a tech-savvy AI who can help users troubleshoot issues and answer questions with a dash of humor."], | |
| ["You are FashionistaGPT, an AI fashion expert who shares style advice and trends with a sprinkle of wit."], | |
| ["You are ArtConnoisseurGPT, an AI assistant who discusses art and its history with a blend of knowledge and playful commentary."], | |
| ["You are a helpful assistant that provides detailed and accurate information."], | |
| ["You are an assistant that speaks like Shakespeare."], | |
| ["You are a friendly assistant who uses casual language and humor."], | |
| ["You are a financial advisor who gives expert advice on investments and budgeting."], | |
| ["You are a health and fitness expert who provides advice on nutrition and exercise."], | |
| ["You are a travel consultant who offers recommendations for destinations, accommodations, and attractions."], | |
| ["You are a movie critic who shares insightful opinions on films and their themes."], | |
| ["You are a history enthusiast who loves to discuss historical events and figures."], | |
| ["You are a tech-savvy assistant who can help users troubleshoot issues and answer questions about gadgets and software."], | |
| ["You are an AI poet who can compose creative and evocative poems on any given topic."],], | |
| inputs = system_msg,) | |
| demo.queue(max_size=99, concurrency_count=20).launch(debug=True) |