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import os
import gradio as gr
from google import genai
from google.genai.types import GenerateContentConfig, GoogleSearch, Tool
# Initialize GenAI Client
API_KEY = os.getenv("GOOGLE_API_KEY") # Ensure to set this in Hugging Face Secrets
client = genai.Client(api_key=API_KEY)
MODEL_ID = "gemini-2.0-flash-exp" # Replace with your desired model ID
def google_search_query(question, use_web_search):
try:
# Generate the AI response without web search initially
response = client.models.generate_content(
model=MODEL_ID,
contents=question,
)
ai_response = response.text # AI response as plain text
if use_web_search:
# If user selects web search, redefine the tool and generate response with web search
google_search_tool = Tool(google_search=GoogleSearch())
response = client.models.generate_content(
model=MODEL_ID,
contents=question,
config=GenerateContentConfig(tools=[google_search_tool]),
)
search_results = response.candidates[0].grounding_metadata.search_entry_point.rendered_content
else:
search_results = "Web search not used."
return ai_response, search_results
except Exception as e:
return f"Error: {str(e)}", ""
# Gradio Interface using Chatbot and conditional web search
with gr.Blocks(theme=gr.themes.Glass(secondary_hue = "violet")) as app:
gr.Markdown("# Gemini 2.0 Google Search Custom UI")
with gr.Row():
chatbot = gr.Chatbot(label="Chatbot Responses")
with gr.Row():
question_input = gr.Textbox(lines=2, label="Ask a Question")
web_search_checkbox = gr.Checkbox(label="Enhance with Web Search", value=False)
with gr.Row():
submit_button = gr.Button("Submit")
def update_chatbot(question, use_web_search, chat_log):
ai_response, search_results = google_search_query(question, use_web_search)
chat_log.append(("You", question))
chat_log.append(("AI", ai_response))
if use_web_search:
chat_log.append(("AI + Web Search", search_results))
return chat_log
submit_button.click(
fn=update_chatbot,
inputs=[question_input, web_search_checkbox, chatbot],
outputs=[chatbot]
)
app.launch()
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