import os
import gradio as gr
import google.generativeai as genai
GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
genai.configure(api_key=GEMINI_API_KEY)
model = genai.GenerativeModel('gemini-pro')
header = r"""
Gemini Chat
This demo is for code reference, instead of use it, clone it and set your own Api key
Get an Api Key: Google Ai Studio
"""
footer = r"""
Demo for Google Gemini
"""
with gr.Blocks(title="Gemini Chat") as app:
gr.HTML(header)
with gr.Row(equal_height=True):
with gr.Column():
chatbot = gr.Chatbot()
msg = gr.Textbox()
clear = gr.Button("Clear")
def user(user_message, history):
return "", history + [[user_message, None]]
def bot(history):
response = model.generate_content(history[-1][0], stream=True)
history[-1][1] = ""
for chunk in response:
history[-1][1] += chunk.text
yield history
msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
bot, chatbot, chatbot
)
clear.click(lambda: None, None, chatbot, queue=False)
with gr.Row():
gr.HTML(footer)
app.queue()
app.launch(share=True, debug=True, show_error=True)