app.py

# Попробую писать коментарии на двух языках.
# I'll try to write bilingual comments.

#=========
#=========
# Library Import

print("=========\nBegin import library\n")

import random
import gradio as gr
from huggingface_hub import InferenceClient

print("\nEnd import library\n=========")

#=========
#=========
# Backend Logic

print("=========\nBegin definition Backend Logic\n")

def random_response(message, history):
    return random.choice(["Yes", "No"])

print("\nEnd definition Backend Logic\n=========")

# =========
# =========
# User Interface (UI) Definition

print("=========\nBegin definition User Interface (UI)\n")

with gr.Blocks(theme=gr.themes.Soft(primary_hue="teal", secondary_hue="slate", neutral_hue="neutral")) as demo: # Using Soft theme with adjusted hues for a refined look
    print("Create visitor badge")
    gr.HTML("""<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2Fzelk12%2FChat_interface_test_With_backend">
               <img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2Fzelk12%2FChat_interface_test_With_backend&countColor=%23263759" />
               </a>""")

    print("Create API block")
    with gr.Accordion(
      "API",
       open=False,
    ):
        print("Create API key textbox row")
        with gr.Row():
            print("Create API key textbox")
            Textbox_Block_API_key = gr.Textbox(
                label="API key",
                scale=4,
            )
            
        print("Create API block button row")
        with gr.Row():
            print("Create API apply button")
            Button_Block_Apply_API_key = gr.Button(
                value="Apply",
                scale=1,
            )
            print("Create API reset button")
            Button_Block_Reset_API_key = gr.Button(
                value="Reset",
                scale=1,
            )

        print("Create API state markdown")
        Markdown_Block_API_key_State = gr.Markdown("API key State: False")
        # Возможные варианты, используеться стандартный API ключь и используеться выбранный API ключь.
        # Possible options, standard API key is used and selected API key is used.

        print("Create provider dropdown")
        Dropdown_Block_Choose_provider = gr.Dropdown(label="Choose provider")
        # На данный момент времени единственным провайдером будет Google и Google API для доступа к Gemini. (19.04.2025)
        # At this point in time, the only provider will be Google and the Google API to access Gemini. (19.04.2025)

        print("Create provider state")
        Markdown_Block_Povider_State = gr.Markdown("Provider State: False")
        # Варианты используеться, выбранный провайдер и указание его наименования и провайдер не используеться, и причины.
        # The options are used, the selected provider and the name of the provider and the provider not used, and the reasons.

    print("Create main chat window")
    ChatIntarface_Block_Main_chat_window = gr.ChatInterface(random_response, 
                                                            multimodal=True,
                                                            chatbot=gr.Chatbot(
                                                                label="output",
                                                            ),
                                                            type="messages",
                                                            textbox=gr.MultimodalTextbox(
                                                                label="input",
                                                            ),
                                                            editable=True,
                                                            title="Chat interface test",
                                                            save_history=True,
                                                            )
    
    print("Create output token markdown")
    Markdown_Block_Output_token = gr.Markdown("Token in output: False")
    print("Create input token markdown")
    Markdown_Block_Input_token = gr.Markdown("Token in input: False")

    print("Create ssettings block")
    with gr.Accordion(
        "Settings",
        open=False,
    ):
        print("Create model dropdown")
        Dropdown_Block_Choose_model = gr.Dropdown(label="Choose model")
        # От Google будут использованы следующие модели: Gemini 2.5 Flash Preview 04-17 (10 зпаросов в минуту, 250.000 токенов в минуту, 500 запросов в день) (19.04.2025)
        # Gemini 2.5 Pro Experimental (5 зпаросов в минуту, 250.000 токенов в минуту, 25 запросов в день) (19.04.2025)
        # Gemini 2.0 Flash (15 зпаросов в минуту, 1.000.000 токенов в минуту, 1.500 запросов в день) (19.04.2025)
        # Gemini 2.0 Flash Experimental  (10 зпаросов в минуту, 1.000.000 токенов в минуту, 1.500 запросов в день) (19.04.2025)
        # Gemini 2.0 Flash-Lite  (30 зпаросов в минуту, 1.000.000 токенов в минуту, 1.500 запросов в день) (19.04.2025)
        # Gemini 1.5 Flash  (15 зпаросов в минуту, 1.000.000 токенов в минуту, 1.500 запросов в день) (19.04.2025)
        # Gemini 1.5 Flash-8B  (15 зпаросов в минуту, 1.000.000 токенов в минуту, 1.500 запросов в день) (19.04.2025)
        # Gemini 1.5 Pro  (2 зпаросов в минуту, 32.000 токенов в минуту, 50 запросов в день) (19.04.2025)
        # Gemma 3  (30 зпаросов в минуту, 15.000 токенов в минуту, 14.400 запросов в день) (19.04.2025)
        # По умалчанию будет выбрана модель: Gemini 2.0 Flash Experimental (19.04.2025)
        #
        # The following models will be used from Google: Gemini 2.5 Flash Preview 04-17 (10 zparos per minute, 250,000 tokens per minute, 500 requests per day) (19.04.2025)
        # Gemini 2.5 Pro Experimental (5 drops per minute, 250,000 tokens per minute, 25 requests per day) (19.04.2025)
        # Gemini 2.0 Flash (15 drops per minute, 1,000,000 tokens per minute, 1,500 requests per day) (19.04.2025)
        # Gemini 2.0 Flash Experimental (10 drops per minute, 1,000,000 tokens per minute, 1,500 requests per day) (19.04.2025)
        # Gemini 2.0 Flash-Lite (30 drops per minute, 1,000,000 tokens per minute, 1,500 requests per day) (19.04.2025)
        # Gemini 1.5 Flash (15 drops per minute, 1,000,000 tokens per minute, 1,500 requests per day) (19.04.2025)
        # Gemini 1.5 Flash-8B (15 drops per minute, 1,000,000 tokens per minute, 1,500 requests per day) (19.04.2025)
        # Gemini 1.5 Pro (2 drops per minute, 32,000 tokens per minute, 50 requests per day) (19.04.2025)
        # Gemma 3 (30 zparos per minute, 15.000 tokens per minute, 14.400 requests per day) (19.04.2025)
        # Gemini 2.0 Flash Experimental will be chosen by default. (19.04.2025)
        # Translated with www.DeepL.com/Translator (free version)

        # Я даже не буду исправлять этот преревод.
        # I'm not even gonna fix this pre-translation #

        print("Create system instructions textbox")
        Textbox_Block_System_instructions = gr.Textbox(label="System instructions",)
        print("Create slider model temperature")
        Slier_Block_Model_Temperature = gr.Slider(label="temperature",
                                                    interactive=True,
                                                    minimum=0,
                                                    maximum=2,
                                                    value=0.95)
        print("Create slider model topP")
        Slier_Block_Model_topP = gr.Slider(label="topP",
                                            interactive=True,
                                            minimum=0,
                                            maximum=1,
                                            value=0.5)
        print("Create slider model topK")
        Slier_Block_Model_topK = gr.Slider(label="topK",
                                            interactive=True,
                                            value=100)
        print("Create checkbox output stream")
        Checkbox_Block_Output_Stream = gr.Checkbox(
                                                    label="Enable output stream"
                                                    )
        print("Create checkbox Grounding with Google Search")
        Checkbox_Block_Google_Grounding_Search = gr.Checkbox(
                                                                label="Grounding with Google Search"
                                                                )

print("\nEnd definition User Interface (UI)\n=========")

print("=========\nBegin launch demo\n")

if __name__ == "__main__":
    demo.launch()

print("\nEnd launch demo\n=========")