Application files

app.py

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+import gradio as gr
+from geminisearch import webSearch
+
+app = gr.ChatInterface(webSearch,
+                      chatbot=gr.Chatbot(height=300),
+                      type = "messages",
+                      textbox=gr.Textbox(placeholder="Search the web", container=False, scale=7),
+                      title="Gemini Web Search",
+                      theme="ocean",
+                      examples=["What is the current weather in Paris",
+                                "What is the current exchange rate between USD and EUR",
+                                "What is the current price of Bitcoin"])
+
+if __name__ == "__main__":
+    app.launch(mcp_server=True)

geminisearch.py

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+from google import genai
+from google.genai.types import Tool, GenerateContentConfig, GoogleSearch
+import time
+import os
+
+api_key = os.getenv("GEMINI_API_KEY")
+client = genai.Client(api_key=api_key)
+
+model_id = "gemini-2.0-flash"
+
+google_search_tool = Tool(
+    google_search = GoogleSearch()
+)
+
+def webSearch(prompt,history):
+
+  combined_prompt = f"Current information: {history}\n\nQuestion: {prompt}"
+
+  response = client.models.generate_content(
+    model=model_id,
+    contents=combined_prompt,
+    config=GenerateContentConfig(
+        tools=[google_search_tool],
+        response_modalities=["TEXT"],
+    )
+)
+  
+  # stream response
+  for each in response.candidates[0].content.parts:
+    for i in range(len(each.text)):
+        time.sleep(0.001)
+        yield each.text[: i+1]

requirements.txt

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+google
+gradio