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from typing import List, Tuple | |
import gradio as gr | |
import google.generativeai as genai | |
def predict(google_key: str, text_prompt: str, chatbot: List[Tuple[str, str]]): | |
if not google_key: | |
raise ValueError( | |
"GOOGLE_API_KEY is not set. " | |
"Please follow the instructions in the README to set it up.") | |
genai.configure(api_key=google_key) | |
model = genai.GenerativeModel('models/gemini-pro') | |
response = model.generate_content(text_prompt, stream=True) | |
response.resolve() | |
chatbot.append((text_prompt, response.text)) | |
return "", chatbot | |
google_key_component = gr.Textbox( | |
label="GOOGLE API KEY", | |
value="", | |
type="password", | |
placeholder="...", | |
info="You have to provide your own GPT4 keys for this app to function properly", | |
) | |
chatbot_component = gr.Chatbot(label='Gemini') | |
text_prompt_component = gr.Textbox( | |
placeholder="Hi there!", | |
label="Type an input and press Enter" | |
) | |
run_button_component = gr.Button() | |
with gr.Blocks() as demo: | |
with gr.Column(): | |
google_key_component.render() | |
with gr.Row(): | |
chatbot_component.render() | |
text_prompt_component.render() | |
run_button_component.render() | |
run_button_component.click( | |
fn=predict, | |
inputs=[google_key_component, text_prompt_component, chatbot_component], | |
outputs=[text_prompt_component, chatbot_component], | |
) | |
text_prompt_component.submit( | |
fn=predict, | |
inputs=[google_key_component, text_prompt_component, chatbot_component], | |
outputs=[text_prompt_component, chatbot_component], | |
) | |
demo.queue(max_size=99).launch(debug=True) | |