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| import os | |
| import time | |
| from typing import List, Tuple, Optional, Dict, Union | |
| import requests | |
| import gradio as gr | |
| TITLE = """<h1 align="center">Insight LLM π¬</h1>""" | |
| SUBTITLE = """<h2 align="center">Effortlessly analyze and compare Thai stocks from 56-1 One Report with advanced LLM insights.</h2>""" | |
| DUPLICATE = """ | |
| <div style="text-align: center; display: flex; justify-content: center; align-items: center;"> | |
| <span>Duplicate the Space and run securely with your API KEY.</span> | |
| </div> | |
| """ | |
| AVATAR_IMAGES = ( | |
| None, | |
| "https://media.roboflow.com/spaces/gemini-icon.png" | |
| ) | |
| CHAT_HISTORY = List[Tuple[Optional[Union[Tuple[str], str]], Optional[str]]] | |
| def preprocess_chat_history( | |
| history: CHAT_HISTORY | |
| ) -> List[Dict[str, Union[str, List[str]]]]: | |
| messages = [] | |
| for user_message, model_message in history: | |
| if isinstance(user_message, tuple): | |
| pass | |
| elif user_message is not None: | |
| messages.append({'role': 'user', 'parts': [user_message]}) | |
| if model_message is not None: | |
| messages.append({'role': 'model', 'parts': [model_message]}) | |
| return messages | |
| def user(text_prompt: str, chatbot: CHAT_HISTORY): | |
| if text_prompt: | |
| chatbot.append((text_prompt, None)) | |
| return "", chatbot | |
| def bot( | |
| chatbot: CHAT_HISTORY | |
| ): | |
| if len(chatbot) == 0: | |
| return chatbot | |
| if chatbot[-1][0] and isinstance(chatbot[-1][0], str): | |
| text_prompt = chatbot[-1][0] | |
| try: | |
| response = requests.get( | |
| "https://api-obon.conf.in.th/team15/query", | |
| params={"text": text_prompt} | |
| ) | |
| response.raise_for_status() # Raise an error for bad status codes | |
| try: | |
| response_json = response.json() | |
| chatbot[-1][1] = response_json.get("text", "") | |
| except ValueError: | |
| chatbot[-1][1] = f"{response.text}" | |
| except requests.exceptions.RequestException as e: | |
| chatbot[-1][1] = f"Error: {e}" | |
| else: | |
| chatbot[-1][1] = "Invalid input" | |
| return chatbot | |
| chatbot_component = gr.Chatbot( | |
| label='API Chatbot', | |
| bubble_full_width=False, | |
| avatar_images=AVATAR_IMAGES, | |
| scale=2, | |
| height=400 | |
| ) | |
| text_prompt_component = gr.Textbox( | |
| placeholder="Hi there! [press Enter]", show_label=False, autofocus=True, scale=8 | |
| ) | |
| run_button_component = gr.Button(value="Run", variant="primary", scale=1) | |
| user_inputs = [ | |
| text_prompt_component, | |
| chatbot_component | |
| ] | |
| bot_inputs = [ | |
| chatbot_component | |
| ] | |
| with gr.Blocks() as demo: | |
| gr.HTML(TITLE) | |
| gr.HTML(SUBTITLE) | |
| gr.HTML(DUPLICATE) | |
| with gr.Column(): | |
| chatbot_component.render() | |
| with gr.Row(): | |
| text_prompt_component.render() | |
| run_button_component.render() | |
| run_button_component.click( | |
| fn=user, | |
| inputs=user_inputs, | |
| outputs=[text_prompt_component, chatbot_component], | |
| queue=False | |
| ).then( | |
| fn=bot, inputs=bot_inputs, outputs=[chatbot_component], | |
| ) | |
| text_prompt_component.submit( | |
| fn=user, | |
| inputs=user_inputs, | |
| outputs=[text_prompt_component, chatbot_component], | |
| queue=False | |
| ).then( | |
| fn=bot, inputs=bot_inputs, outputs=[chatbot_component], | |
| ) | |
| # Adding the detail about currently available stock data within the Blocks context | |
| stock_detail = """ | |
| <div style="text-align: center; display: flex; justify-content: center; align-items: center; margin-top: 20px;"> | |
| <span>Currently, we have data for the following stocks: KBANK, SCB, TTB, AIS, TRUE, SANSIRI, ORIGIN.</span> | |
| </div> | |
| """ | |
| gr.HTML(stock_detail) | |
| demo.queue(max_size=99).launch(debug=False, show_error=True) | |