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):

  # 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(["write a short story about the image", img])

  return response.text


app = gr.Interface(ImageChat,
                   inputs = gr.Image(label = "Image"),
                   outputs = gr.Text(label = "Story"),
                   examples = ["rubiks cube.jpg","giraffe.jpg","street.jpg"],
                   title = "Image-To-Story",
                   theme = gr.themes.Soft())


app.launch()