add app

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from langchain.tools import Tool
+from langchain_community.utilities import GoogleSearchAPIWrapper
+import os
+
+os.environ["GOOGLE_CSE_ID"] = "222a4a8ae035a4d1d"
+os.environ["GOOGLE_API_KEY"] = "AIzaSyBxEUXINrQ313UZbgHEQXZSvTNADgOv9K0"
+
+def get_search(query:str="", k:int=1):
+    search = GoogleSearchAPIWrapper(k=k)
+    def search_results(query):
+        return search.results(query, k)
+    tool = Tool(
+        name="Google Search Snippets",
+        description="Search Google for recent results.",
+        func=search_results,
+    )
+    ref_text = tool.run(query)
+    return ref_text 
+
+def search(query:str):
+  search_result = get_search(query,1)[0]
+  title = search_result['title']
+  link = search_result['link']
+  return_str = f"""title: {title}\nlink: {link}"""
+  return return_str
+
+demo = gr.Interface(fn=search, inputs="textbox", outputs="textbox")
+    
+if __name__ == "__main__":
+    demo.launch()   

requirements.txt

@@ -0,0 +1,5 @@
+gradio
+openai
+langchain
+tiktoken
+html2text