import gradio as gr

models=[
    "nadiamaqbool81/starcoderbase-1b-hf",   
    "nadiamaqbool81/starcoderbase-1b-hf_python",
    "nadiamaqbool81/codet5-large-hf",
    "nadiamaqbool81/codet5-large-hf-python",    
    "nadiamaqbool81/llama-2-7b-int4-java-code-1.178k",
    "nadiamaqbool81/llama-2-7b-int4-python-code-510"
]
names=[
    "nadiamaqbool81/starcoderbase-java",   
    "nadiamaqbool81/starcoderbase-python",
    "nadiamaqbool81/codet5-java",
    "nadiamaqbool81/codet5-python",    
    "nadiamaqbool81/llama-2-java",
    "nadiamaqbool81/llama-2-python"
]
model_box=[
    gr.load(f"models/{models[0]}"),
    gr.load(f"models/{models[1]}"),
    gr.load(f"models/{models[2]}"),
    gr.load(f"models/{models[3]}"),
    gr.load(f"models/{models[4]}"),
    gr.load(f"models/{models[5]}"),
]
current_model=model_box[0]

def the_process(input_text, model_choice):
    a_variable = model_box[model_choice]
    output = a_variable(input_text)
    return(output)

gr.HTML("""<h1 style="font-weight:600;font-size:50;margin-top:4px;margin-bottom:4px;text-align:center;">Text to Code Generation</h1></div>""")
model_choice = gr.Dropdown(label="Select Model", choices=[m for m in names], type="index", interactive=True)
input_text = gr.Textbox(label="Input Prompt")
output_window = gr.Code(label="Generated Code")
title="Text to Code Generation Models Comparison"
interface = gr.Interface(fn=the_process, inputs=[input_text, model_choice], outputs="text", title = title)
interface.launch()