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import os
import time
from typing import List, Tuple, Optional
import google.generativeai as genai
import gradio as gr
from PIL import Image
print("google-generativeai:", genai.__version__)
GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
TITLE = """<h1 align="center">🕹️ Google Gemini Chatbot 🔥</h1>"""
SUBTITLE = """<h2 align="center">🎨 Create with Multimodal Gemini</h2>"""
DUPLICATE = """
<div style="text-align: center; display: flex; justify-content: center; align-items: center;">
<a href="https://huggingface.co/spaces/Rahatara/build_with_gemini/blob/main/allgemapp.py?duplicate=true">
<img src="https://bit.ly/3gLdBN6" alt="Duplicate Space" style="margin-right: 10px;">
</a>
<span>Duplicate the Space and run securely with your
<a href="https://makersuite.google.com/app/apikey">GOOGLE API KEY</a>.
</span>
</div>
"""
IMAGE_WIDTH = 512
def preprocess_stop_sequences(stop_sequences: str) -> Optional[List[str]]:
return [seq.strip() for seq in stop_sequences.split(",")] if stop_sequences else None
def preprocess_image(image: Image.Image) -> Image.Image:
image_height = int(image.height * IMAGE_WIDTH / image.width)
return image.resize((IMAGE_WIDTH, image_height))
def user(text_prompt: str, chatbot: List[Tuple[str, str]]):
return "", chatbot + [[text_prompt, None]]
def bot(
google_key: str,
image_prompt: Optional[Image.Image],
text_prompt: str,
temperature: float,
max_output_tokens: int,
stop_sequences: str,
top_k: int,
top_p: float,
chatbot: List[Tuple[str, str]]
):
google_key = google_key or GOOGLE_API_KEY
if not google_key:
raise ValueError("GOOGLE_API_KEY is not set. Please set it up.")
genai.configure(api_key=google_key)
instructions = "You are an expert stylist. You suggest and evaluate any style-related question to make anyone, regardless of gender, race, or any other demographic diversity, look stylish."
model_name = 'gemini-pro-vision' if image_prompt else 'gemini-1.5-pro-latest'
inputs = [text_prompt, instructions]
if image_prompt:
inputs.append(preprocess_image(image_prompt))
model = genai.GenerativeModel(model_name)
response = model.generate_content(inputs, stream=True, generation_config=genai.types.GenerationConfig(
temperature=temperature,
max_output_tokens=max_output_tokens,
stop_sequences=preprocess_stop_sequences(stop_sequences),
top_k=top_k,
top_p=top_p
))
response.resolve()
chatbot[-1][1] = ""
for chunk in response:
for i in range(0, len(chunk.text), 10):
chatbot[-1][1] += chunk.text[i:i + 10]
time.sleep(0.01)
yield chatbot
google_key_component = gr.Textbox(
label="GOOGLE API KEY",
type="password",
placeholder="Enter your Google API Key",
visible=GOOGLE_API_KEY is None
)
image_prompt_component = gr.Image(type="pil", label="Upload Image", width=200)
text_prompt_component = gr.Textbox(
placeholder="Describe your style needs",
label="Enter your prompt",
width=300
)
run_button_component = gr.Button("Ask Stylist")
user_inputs = [text_prompt_component, chatbot_component]
bot_inputs = [google_key_component, image_prompt_component, text_prompt_component, temperature_component, max_output_tokens_component, stop_sequences_component, top_k_component, top_p_component, chatbot_component]
with gr.Blocks() as demo:
gr.HTML(TITLE)
gr.HTML(SUBTITLE)
gr.HTML(DUPLICATE)
with gr.Row():
google_key_component.render()
with gr.Row():
text_prompt_component.render()
image_prompt_component.render()
chatbot_component = gr.Chatbot(label='Gemini Personal Stylist')
chatbot_component.render()
run_button_component.render()
run_button_component.click(
fn=user,
inputs=user_inputs,
outputs=[text_prompt_component, chatbot_component],
queue=False
).then(
fn=bot, inputs=bot_inputs, outputs=[chatbot_component]
)
text_prompt_component.submit(
fn=user,
inputs=user_inputs,
outputs=[text_prompt_component, chatbot_component],
queue=False
).then(
fn=bot, inputs=bot_inputs, outputs=[chatbot_component]
)
demo.launch()
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