Delete app2.py

app2.py

@@ -1,150 +0,0 @@
-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 email'
-
-import os
-
-GOOGLE_API_KEY=os.getenv('GOOGLE_API_KEY')
-
-genai.configure(api_key=GOOGLE_API_KEY)
-
-# 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')
-
-# Function that takes User Inputs and displays it on ChatUI
-def app2_query(history,txt,img):
-    if not img:
-        history += [(txt,None)]
-        return history
-    base64 = image_to_base64(img)
-    data_url = f"data:image/jpeg;base64,{base64}"
-    history += [(f"{txt} ![]({data_url})", None)]
-    return history
-
-# Function that takes User Inputs, generates Response and displays on Chat UI
-def app2_response(history,text,img):
-    if not img:
-        response = txt_model.generate_content(text)
-        history += [(None,response.text)]
-        return history
-
-    else:
-        img = PIL.Image.open(img)
-        response = vis_model.generate_content([text,img])
-        history += [(None,response.text)]
-        return history
-
-# Function that takes User Inputs and displays it on ChatUI
-
-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.txt
-
-        
-# Interface Code- Selector method
-
-def sentence_builder(animal, place):
-    return f"""how many {animal}s from the {place} are shown in the picture?"""
-
-# gradio block
-    
-with gr.Blocks(theme='snehilsanyal/scikit-learn') as app1:
-    with gr.Column():    
-        outputbox = gr.Textbox(label="here are the plans...")
-        image_box = gr.Image(type="filepath")
-        
-    btn = gr.Button("Make a Plan")
-    clicked = btn.click(app1_query,
-                        [image_box],
-                        outputbox
-                        ).then(app1_response,
-                                [image_box],
-                                outputbox
-                                )
-    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)
-
-    """)
-
-with gr.Blocks(theme='snehilsanyal/scikit-learn') as app2:
-    gr.Markdown("check the image...")
-    with gr.Row():
-        image_box = gr.Image(type="filepath")
-    
-        chatbot = gr.Chatbot(
-            scale = 2,
-            height=750
-        )
-    text_box = gr.Dropdown(
-                ["what is in the image", 
-                 "provide alternative title for the image", 
-                 "how many parts can be seen in the picture?",
-                  "check ID and expiration date"], 
-                 label="Select--", 
-                 info="ask Bot"
-            )
-
-    btn = gr.Button("Submit")
-    clicked = btn.click(app2_query,
-                        [chatbot,text_box,image_box],
-                        chatbot
-                        ).then(app2_response,
-                                [chatbot,text_box],
-                                chatbot
-                                )
-with gr.Blocks(theme='snehilsanyal/scikit-learn') as demo:
-    gr.Markdown("## Workflow Bot ##")
-    gr.TabbedInterface([app1, app2], ["Make a Plan!", "Check This!"])
-
-demo.queue()
-demo.launch()