Delete app.py

app.py

@@ -1,108 +0,0 @@
-
-# import required packages
-import google.generativeai as genai
-import os
-import PIL.Image
-import gradio as gr
-from gradio_multimodalchatbot import MultimodalChatbot
-from gradio.data_classes import FileData
-
-# For better security practices, retrieve sensitive information like API keys from environment variables.
-
-# Fetch an environment variable.
-GOOGLE_API_KEY = os.environ.get('AIzaSyCXIlf8IiA0Ew8i0-Ki1ObN2kJCIzLghfU')
-genai.configure(api_key=AIzaSyCXIlf8IiA0Ew8i0-Ki1ObN2kJCIzLghfU)
-
-# These codelines are just to verify if your api key is correct or not
-# Use them when you clone the repo and build locally
-#!curl \
-#-H 'Content-Type: application/json' \
-#-d '{ "prompt": { "text": "Write a very short story about a magic backpack"} }' \
-#"https://generativelanguage.googleapis.com/v1beta3/models/text-bison-001:generateText?key=<enter-your-key-here>"
-
-# Initialize genai models
-model = genai.GenerativeModel('gemini-pro')
-modelvis = genai.GenerativeModel('gemini-pro-vision')
-
-def gemini(input, file, chatbot=[]):
-    """
-    Function to handle gemini model and gemini vision model interactions.
-
-    Parameters:
-    input (str): The input text.
-    file (File): An optional file object for image processing.
-    chatbot (list): A list to keep track of chatbot interactions.
-
-    Returns:
-    tuple: Updated chatbot interaction list, an empty string, and None.
-    """
-
-    messages = []
-    print(chatbot)
-
-    # Process previous chatbot messages if present
-    if len(chatbot) != 0:
-        for user, bot in chatbot:
-            user, bot = user.text, bot.text
-            messages.extend([
-                {'role': 'user', 'parts': [user]},
-                {'role': 'model', 'parts': [bot]}
-            ])
-        messages.append({'role': 'user', 'parts': [input]})
-    else:
-        messages.append({'role': 'user', 'parts': [input]})
-
-    try:
-        # Process image if file is provided
-        if file is not None:
-            with PIL.Image.open(file.name) as img:
-                message = [{'role': 'user', 'parts': [input, img]}]
-                response = modelvis.generate_content(message)
-                gemini_video_resp = response.text
-                messages.append({'role': 'model', 'parts': [gemini_video_resp]})
-
-                # Construct list of messages in the required format
-                user_msg = {"text": input, "files": [{"file": FileData(path=file.name)}]}
-                bot_msg = {"text": gemini_video_resp, "files": []}
-                chatbot.append([user_msg, bot_msg])
-        else:
-            response = model.generate_content(messages)
-            gemini_resp = response.text
-
-            # Construct list of messages in the required format
-            user_msg = {"text": input, "files": []}
-            bot_msg = {"text": gemini_resp, "files": []}
-            chatbot.append([user_msg, bot_msg])
-    except Exception as e:
-        # Handling exceptions and raising error to the modal
-        print(f"An error occurred: {e}")
-        raise gr.Error(e)
-
-    return chatbot, "", None
-
-# Define the Gradio Blocks interface
-with gr.Blocks() as demo:
-    # Add a centered header using HTML
-    gr.HTML("<center><h1>Gemini-PRO & Gemini-PRO-Vision API</h1></center>")
-
-    # Initialize the MultimodalChatbot component
-    multi = MultimodalChatbot(value=[], height=800)
-
-    with gr.Row():
-        # Textbox for user input with increased scale for better visibility
-        tb = gr.Textbox(scale=4, placeholder='Input text and press Enter')
-
-        # Upload button for image files
-        up = gr.UploadButton("Upload Image", file_types=["image"], scale=1)
-
-    # Define the behavior on text submission
-    tb.submit(gemini, [tb, up, multi], [multi, tb, up])
-
-    # Define the behavior on image upload
-    # Using chained then() calls to update the upload button's state
-    up.upload(lambda: gr.UploadButton("Uploading Image..."), [], up) \
-       .then(lambda: gr.UploadButton("Image Uploaded"), [], up) \
-       .then(lambda: gr.UploadButton("Upload Image"), [], up)
-
-# Launch the demo with a queue to handle multiple users
-demo.queue().launch()