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| import os | |
| os.system(f"pip install open-interpreter") | |
| os.system(f"pip install matplotlib") | |
| import json | |
| import gradio as gr | |
| from interpreter import interpreter | |
| import time | |
| import matplotlib | |
| matplotlib.use('Agg') | |
| #get openaiapikey from environment variable | |
| openaiapikey = os.environ.get('OPENAI_API_KEY') | |
| #install open-interpreter package | |
| os.system(f"pip install open-interpreter") | |
| interpreter.auto_run = True | |
| interpreter.llm.model = "gpt-4-turbo" | |
| interpreter.custom_instructions = "First ask the user what they want to do. Based on the input, describe the next steps. If user agrees, proceed; if not, ask what they want next.If it is anything to display , always at the end open up the file." | |
| def update_bot(text, chatbot): | |
| response_json = interpreter.chat(text, stream=True, display=False) | |
| formatted_response, images = json_to_markdown(response_json) | |
| message = " ".join(formatted_response) | |
| if message: | |
| chatbot.append(("Assistant", message)) | |
| for img_path in images: | |
| chatbot.append(("Assistant", img_path)) # Append image paths directly | |
| return chatbot, "" | |
| def new_chat(): | |
| interpreter.messages = [] | |
| return [], "" | |
| def create_chat_widget(): | |
| with gr.Blocks() as chatblock: | |
| chatbot = gr.Chatbot( | |
| [], | |
| elem_id="chatbot", | |
| elem_classes="chatbot", | |
| layout="llm", | |
| bubble_full_width=False, | |
| height=600, | |
| ) | |
| txt = gr.Textbox( | |
| scale=4, | |
| show_label=False, | |
| placeholder="Enter text and press enter to chat with the bot.", | |
| container=False, | |
| ) | |
| new_chat_button = gr.Button( | |
| "New Chat", | |
| scale=3, | |
| interactive=True, | |
| ) | |
| new_chat_button.click(new_chat, [], [chatbot, txt]) | |
| txt.submit(update_bot, [txt, chatbot], [chatbot, txt]) | |
| return chatblock | |
| def json_to_markdown(json_data): | |
| full_message = [] | |
| images = [] | |
| # Regex to detect URLs; this is a simple version and might need to be adapted | |
| url_pattern = r'(http[s]?://\S+|sandbox:/\S+)' | |
| for item in json_data: | |
| if item['role'] == 'assistant' and item['type'] == 'message': | |
| content = item.get('content', " ") | |
| # Find all URLs in the content | |
| urls = re.findall(url_pattern, content) | |
| # Append any detected URLs to the images list | |
| images.extend(urls) | |
| # Remove URLs from the content | |
| content = re.sub(url_pattern, "", content).strip() | |
| if content: | |
| full_message.append(content) | |
| return full_message, images | |
| with gr.Blocks() as demo: | |
| with gr.Tab("HEXON Chatbot Assignment"): | |
| chat_interface = create_chat_widget() | |
| demo.launch() |