app.py

from models import *
import gradio as gr

GPT_4 = "deepseek/deepseek-chat-v3-0324:free" #12
PHI_4 = "microsoft/phi-4" #2
PHI_3 = "microsoft/phi-3-medium-128k-instruct:free" #3
GEMMA_3_27B = "google/gemma-3-27b-it:free" #4
GEMIN_FLASH_THINK = "google/gemini-2.0-flash-thinking-exp:free" #6
GEMIN_FLASH = "google/gemini-flash-1.5-8b-exp" #7
QWEN_32B = "qwen/qwq-32b:free" #8
QWEN_25 = "qwen/qwen2.5-vl-72b-instruct:free" #10 #error
DEEPSEEK_R1 = "deepseek/deepseek-r1:free" #11
DEEPSEEK_R1_ZERO = "deepseek/deepseek-r1-zero:free" #13
META_LLAMA_MODEL = "meta-llama/Llama-3.3-70B-Instruct:free" #14
MISTRAL_SMALL_MODEL = "mistralai/mistral-small-3.1-24b-instruct:free" #15
MISTRAL_NEMO = "mistralai/mistral-nemo:free" #16
ZEPHYR = "huggingfaceh4/zephyr-7b-beta:free" #17
OLYMPIC_CODER = "open-r1/olympiccoder-32b:free" #19
LEARN = "google/learnlm-1.5-pro-experimental:free" #20
REKA_FLASH = "rekaai/reka-flash-3:free" #21
OPEN_CHAT = "openchat/openchat-7b:free" #21
TOPPY = "undi95/toppy-m-7b:free" #23
MOONLIGHT = "moonshotai/moonlight-16b-a3b-instruct:free"

CONCISE_ENGLISH_PROMPT = "Answer in short and precise English sentences."

def get_model(title, dev, model, name, user_input, system_prompt):
    if user_input.lower() == "data":
        df = get_data()
        return df
    
    if user_input.lower() == "text":
        text = get_text()
        return text

    if name == "" or name is None:
        return "Enter Your Name !"
        
    if model is None or model == "":
        return "Select AI Model !"

    chain = ModelChain()
    prompt = system_prompt + " " + CONCISE_ENGLISH_PROMPT

    # Check the model and map to the correct model
    if "ChatGPT" == model: #1
        return chain.generate_response(GPT_4, name, user_input, prompt)
    elif "Phi-4" == model: #2
        return chain.generate_response(PHI_4, name, user_input, prompt)
    elif "Phi-3" == model: #3
        return chain.generate_response(PHI_3, name, user_input, prompt)
    elif "Gemma-3" == model: #4
        return chain.generate_response(GEMMA_3_27B, name, user_input, prompt)
    elif "Gemini-2-Flash-Think" == model: #6
        return chain.generate_response(GEMIN_FLASH_THINK, name, user_input, prompt)
    elif "Gemini-Flash" == model: #7
        return chain.generate_response(GEMIN_FLASH, name, user_input, prompt)
    elif "QwQ-32B" == model: #8
        return chain.generate_response(QWEN_32B, name, user_input, prompt)
    elif "Qwen2.5" == model: #10
        return chain.generate_response(QWEN_25, name, user_input, prompt)
    elif "DeepSeek-R1" == model: #11
        return chain.generate_response(DEEPSEEK_R1, name, user_input, prompt)
    elif "DeepSeek-R1-Zero" == model: #11
        return chain.generate_response(DEEPSEEK_R1, name, user_input, prompt)
    elif "Llama-3.3" == model: #14
        return chain.generate_response(META_LLAMA_MODEL, name, user_input, prompt)
    elif "Mistral-Small" == model: #15
        return chain.generate_response(MISTRAL_SMALL_MODEL, name, user_input, prompt)
    elif "Mistral-Nemo" == model: #16
        return chain.generate_response(MISTRAL_NEMO, name, user_input, prompt)
    elif "Zephyr" == model: #17
        return chain.generate_response(ZEPHYR, name, user_input, prompt)
    elif "Olympic-Coder" == model: #19
        return chain.generate_response(OLYMPIC_CODER, name, user_input, prompt)
    elif "LearnLM" == model: #20
        return chain.generate_response(LEARN, name, user_input, prompt)
    elif "Reka-Flash" == model: #21
        return chain.generate_response(REKA_FLASH, name, user_input, prompt)
    elif "OpenChat" == model: #21
        return chain.generate_response(OPEN_CHAT, name, user_input, prompt)
    elif "Toppy" == model: #21
        return chain.generate_response(TOPPY, name, user_input, prompt)
    elif "MoonLight" == model: #21
        return chain.generate_response(MOONLIGHT, name, user_input, prompt)
    else:
        return "Invalid Model Name : " + model

def main():
    view = gr.Interface(
        fn= get_model,
        inputs = [
            gr.Markdown("# Switch AI"),
            gr.Markdown("### by Kalash"),
            gr.Radio(
                [
                "ChatGPT", #1
                "Phi-4", #2
                "Phi-3", #3
                "Gemma-3", #4
                "Gemini-2-Flash-Think", #6
                "Gemini-Flash", #7
                "QwQ-32B", #9
                "Qwen2.5", #11
                "DeepSeek-R1", #12
                "DeepSeek-R1-Zero", #12
                "Llama-3.3", #15
                "Mistral-Small", #16
                "Mistral-Nemo", #17
                "Zephyr", #18
                "Olympic-Coder", #20
                "LearnLM", #8
                "Reka-Flash", #21
                "OpenChat", #22
                "Toppy", #22
                "MoonLight", #22
                ],
            label = "Choose AI Model", value = "ChatGPT"),
            gr.Textbox(label = "Your Name", placeholder = "Enter Your Name"),
            gr.Textbox(label = "Your Query", placeholder = "Enter Your Question"),
            gr.Textbox(label = "System Prompt", placeholder = "Enter Custom System Propmt (Optional)"),
        ],
        outputs = [gr.Textbox(label ="AI Response", lines = 25)],
        flagging_mode = "never"
    ).launch(share=True)
    # ).launch(share=False, server_port=54321)

if __name__ == '__main__':
    main()