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from typing import List, Tuple, Optional |
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import google.generativeai as genai |
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import gradio as gr |
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from PIL import Image |
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TITLE = """<h1 align="center">Gemini Pro and Pro Vision via API 🚀</h1>""" |
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DUPLICATE = """ |
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<div style="text-align: center; display: flex; justify-content: center; align-items: center;"> |
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<a href="https://huggingface.co/spaces/SkalskiP/ChatGemini?duplicate=true"> |
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<img src="https://bit.ly/3gLdBN6" alt="Duplicate Space" style="margin-right: 10px;"> |
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</a> |
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<span>Duplicate the Space and run securely with your |
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<a href="https://makersuite.google.com/app/apikey">GOOGLE API KEY</a>. |
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</span> |
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</div> |
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""" |
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print("google-generativeai:", genai.__version__) |
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def predict( |
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google_key: str, |
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text_prompt: str, |
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image_prompt: Optional[Image.Image], |
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temperature: float, |
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chatbot: List[Tuple[str, str]] |
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) -> Tuple[str, List[Tuple[str, str]]]: |
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if not google_key: |
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raise ValueError( |
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"GOOGLE_API_KEY is not set. " |
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"Please follow the instructions in the README to set it up.") |
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genai.configure(api_key=google_key) |
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generation_config = genai.types.GenerationConfig(temperature=temperature) |
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if image_prompt is None: |
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model = genai.GenerativeModel('gemini-pro') |
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response = model.generate_content( |
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text_prompt, |
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stream=True, |
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generation_config=generation_config) |
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response.resolve() |
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else: |
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model = genai.GenerativeModel('gemini-pro-vision') |
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response = model.generate_content( |
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[text_prompt, image_prompt], |
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stream=True, |
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generation_config=generation_config) |
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response.resolve() |
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chatbot.append((text_prompt, response.text)) |
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return "", chatbot |
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google_key_component = gr.Textbox( |
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label="GOOGLE API KEY", |
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value="", |
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type="password", |
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placeholder="...", |
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info="You have to provide your own GOOGLE_API_KEY for this app to function properly", |
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) |
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image_prompt_component = gr.Image(type="pil", label="Image", scale=1) |
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chatbot_component = gr.Chatbot(label='Gemini', scale=2) |
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text_prompt_component = gr.Textbox( |
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placeholder="Hi there!", |
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label="Ask me anything and press Enter" |
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) |
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run_button_component = gr.Button() |
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temperature_component = gr.Slider( |
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minimum=0, |
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maximum=1.0, |
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value=0.5, |
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step=0.05, |
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label="Temperature", |
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info="Controls the randomness of the output.") |
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inputs = [ |
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google_key_component, |
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text_prompt_component, |
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image_prompt_component, |
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temperature_component, |
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chatbot_component |
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] |
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with gr.Blocks() as demo: |
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gr.HTML(TITLE) |
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gr.HTML(DUPLICATE) |
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with gr.Column(): |
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google_key_component.render() |
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with gr.Row(): |
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image_prompt_component.render() |
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chatbot_component.render() |
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text_prompt_component.render() |
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run_button_component.render() |
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with gr.Accordion("Parameters", open=False): |
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temperature_component.render() |
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run_button_component.click( |
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fn=predict, |
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inputs=inputs, |
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outputs=[text_prompt_component, chatbot_component], |
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) |
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text_prompt_component.submit( |
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fn=predict, |
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inputs=inputs, |
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outputs=[text_prompt_component, chatbot_component], |
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) |
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demo.queue(max_size=99).launch(debug=True) |
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