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()