# refer to repo https://github.com/gradio-app/gradio/blob/main/demo/chatbot_multimodal/run.ipynb for enhancement import PIL.Image import gradio as gr import base64 import time import os import google.generativeai as genai import pathlib txt_model = genai.GenerativeModel('gemini-pro') vis_model = genai.GenerativeModel('gemini-pro-vision') txt_prompt_1 = """The image contains the contents of a letter. I'd like to follow the request mentioned in the letter. Please provide 3 actionable items to assist me. When responding, use the following format: # Sender and Subject # 1- Action 1 (no more than 20 words) 2- Action 2 (no more than 20 words) 3- Action 3 (no more than 20 words) For example: # From Richard regarding 'Shipping to Customer ABC' # 1- Pack Product A 2- Ship before 3:00 PM today 3- Notify Richard after shipment """ txt_display_1 = 'content of the letter: ' import os GOOGLE_API_KEY=os.getenv('GOOGLE_API_KEY') genai.configure(api_key=GOOGLE_API_KEY) sms_text ="..." # Image to Base 64 Converter def image_to_base64(image_path): with open(image_path, 'rb') as img: encoded_string = base64.b64encode(img.read()) return encoded_string.decode('utf-8') def app1_query(img): if not img: return txt_prompt_1 base64 = image_to_base64(img) data_url = f"data:image/jpeg;base64,{base64}" outputText = [(f"{txt_display_1} ![]({data_url})", None)] return outputText # Function that takes User Inputs, generates Response and displays on Chat UI def app1_response(img): if not img: response = txt_model.generate_content(txt_prompt_1) return response else: img = PIL.Image.open(img) response = vis_model.generate_content([txt_prompt_1,img]) return response.text def app2_response(text): resp = text + ``` ======= from twilio.rest import Client account_sid = 'ACc19799c83b997cdde06b0d6d2496aec3' auth_token = 'XXXXX' client = Client(account_sid, auth_token) message = client.messages.create( from_='+18447195622', body='Bot messsage /TWil', to='+18587331029' ) print(message.sid) ``` return resp # gradio block with gr.Blocks() as app1: with gr.Column(): image_box = gr.Image(type="filepath") btn1 = gr.Button("Make a Plan") out1 = gr.Textbox(label="here are the plans...") btn2 = gr.Button("Send to My Mobile") out2 = gr.Textbox(label="from SMS gateway...") btn1.click(fn=app1_response, inputs=[image_box], outputs=out1) btn2.click(fn=app2_response, inputs=out1, outputs=out2) gr.Markdown(""" # Make a Plan # - screen capture (Win + shift + S) - click **Make a Plan** to upload - await LLM Bot (Gemini, in this case) response - receive THREE actionable items [demo](https://youtu.be/lJ4jIAEVRNY) """) app1.queue() app1.launch()