app.py

import gradio as gr
import google.generativeai as genai
from PIL import Image
import os

# Configure the Gemini API
genai.configure(api_key=os.environ.get("AIzaSyCFdxcKVO6VSxEBaNE2W3LIvRLPEPpyMGw"))

# Set up the model
model = genai.GenerativeModel('gemini-pro-vision')

def chat_with_gemini(history, user_message, image):
    history = history or []
    
    if image is not None:
        # If an image is uploaded, include it in the message
        response = model.generate_content([user_message, image])
    else:
        # Text-only message
        response = model.generate_content(user_message)
    
    history.append((user_message, response.text))
    return history, history

def clear_conversation():
    return None

# Define the Gradio interface
with gr.Blocks() as demo:
    chatbot = gr.Chatbot(label="Chat with Gemini")
    msg = gr.Textbox(label="Type your message here")
    clear = gr.Button("Clear")
    image_upload = gr.Image(type="pil", label="Upload an image (optional)")

    msg.submit(chat_with_gemini, [chatbot, msg, image_upload], [chatbot, chatbot])
    clear.click(clear_conversation, outputs=[chatbot])

# Launch the app
if __name__ == "__main__":
    demo.launch()

# Requirements for Hugging Face Spaces
# requirements.txt
'''
gradio==3.50.2
google-generativeai==0.3.1
Pillow==10.0.0
'''