Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+import duckdb
+from langchain_community.embeddings import HuggingFaceEmbeddings
+from langchain_community.vectorstores import DuckDB
+
+conn = duckdb.connect('your_database.duckdb')
+
+embedding_function = HuggingFaceEmbeddings()
+vector_store = DuckDB(conn, embedding_function)
+
+# Define a data structure for user data
+class User:
+    def __init__(self, phone: str, features: str):
+        self.phone = phone
+        self.features = features
+    def create(self):
+        vector_store.add_texts([f'#features\n{self.features}\n\n#phone\n{self.phone}')
+    def search(self):
+        return vector_store.similarity_search(self.features, k=1)
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+demo = gr.Interface(fn=greet, inputs=["textbox", "button"], outputs="text")
+# demo.launch()
+demo.launch(share=True, auth=("username", "password"))