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import google.generativeai as genai | |
import gradio as gr | |
import numpy as np | |
import PIL.Image | |
genai.configure(api_key="AIzaSyAj-b3sO_wUguMdpXWScxKzMHxb8C5cels") | |
def ImageChat(image, prompt): | |
# load model | |
model = genai.GenerativeModel("gemini-pro-vision") | |
# check image file and convert to a Numpy array | |
if isinstance(image, np.ndarray): | |
img = PIL.Image.fromarray(image) | |
else: | |
img = PIL.Image.open(image) | |
response = model.generate_content([prompt, img]) | |
return response.text | |
app = gr.Interface(ImageChat, | |
inputs = [gr.Image(), gr.Text()], | |
outputs = gr.Text(), | |
title = "Image Chat", | |
theme = gr.themes.Soft()) | |
app.launch() | |