Spaces:
Runtime error
Runtime error
File size: 3,304 Bytes
eeb8511 908d449 eeb8511 7916190 eeb8511 908d449 12a2b97 908d449 eeb8511 7916190 eeb8511 908d449 7916190 eeb8511 7916190 eeb8511 7916190 eeb8511 908d449 eeb8511 908d449 eeb8511 908d449 eeb8511 908d449 7916190 908d449 eeb8511 7916190 eeb8511 908d449 eeb8511 908d449 eeb8511 908d449 7916190 908d449 eeb8511 908d449 eeb8511 908d449 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 |
from typing import List, Tuple, Optional
import google.generativeai as genai
import gradio as gr
from PIL import Image
TITLE = """<h1 align="center">Gemini Pro and Pro Vision via API 🚀</h1>"""
DUPLICATE = """
<div style="text-align: center; display: flex; justify-content: center; align-items: center;">
<a href="https://huggingface.co/spaces/SkalskiP/ChatGemini?duplicate=true">
<img src="https://bit.ly/3gLdBN6" alt="Duplicate Space" style="margin-right: 10px;">
</a>
<span>Duplicate the Space and run securely with your
<a href="https://makersuite.google.com/app/apikey">GOOGLE API KEY</a>.
</span>
</div>
"""
print("google-generativeai:", genai.__version__)
def predict(
google_key: str,
text_prompt: str,
image_prompt: Optional[Image.Image],
temperature: float,
chatbot: List[Tuple[str, str]]
) -> Tuple[str, List[Tuple[str, str]]]:
if not google_key:
raise ValueError(
"GOOGLE_API_KEY is not set. "
"Please follow the instructions in the README to set it up.")
genai.configure(api_key=google_key)
generation_config = genai.types.GenerationConfig(temperature=temperature)
if image_prompt is None:
model = genai.GenerativeModel('gemini-pro')
response = model.generate_content(
text_prompt,
stream=True,
generation_config=generation_config)
response.resolve()
else:
model = genai.GenerativeModel('gemini-pro-vision')
response = model.generate_content(
[text_prompt, image_prompt],
stream=True,
generation_config=generation_config)
response.resolve()
chatbot.append((text_prompt, response.text))
return "", chatbot
google_key_component = gr.Textbox(
label="GOOGLE API KEY",
value="",
type="password",
placeholder="...",
info="You have to provide your own GOOGLE_API_KEY for this app to function properly",
)
image_prompt_component = gr.Image(type="pil", label="Image", scale=1)
chatbot_component = gr.Chatbot(label='Gemini', scale=2)
text_prompt_component = gr.Textbox(
placeholder="Hi there!",
label="Ask me anything and press Enter"
)
run_button_component = gr.Button()
temperature_component = gr.Slider(
minimum=0,
maximum=1.0,
value=0.5,
step=0.05,
label="Temperature",
info="Controls the randomness of the output.")
inputs = [
google_key_component,
text_prompt_component,
image_prompt_component,
temperature_component,
chatbot_component
]
with gr.Blocks() as demo:
gr.HTML(TITLE)
gr.HTML(DUPLICATE)
with gr.Column():
google_key_component.render()
with gr.Row():
image_prompt_component.render()
chatbot_component.render()
text_prompt_component.render()
run_button_component.render()
with gr.Accordion("Parameters", open=False):
temperature_component.render()
run_button_component.click(
fn=predict,
inputs=inputs,
outputs=[text_prompt_component, chatbot_component],
)
text_prompt_component.submit(
fn=predict,
inputs=inputs,
outputs=[text_prompt_component, chatbot_component],
)
demo.queue(max_size=99).launch(debug=True)
|