try requirements

app.py

@@ -1,6 +1,20 @@
 import gradio as gr
+import chromadb
+import pandas as pd
 
 def greet(name):
+    client = chromadb.Client()
+    collection = client.create_collection("bolivian-recipes")
+    df = pd.read_parquet("hf://datasets/asoria/bolivian-recipes@~parquet/default/other/0000.parquet")
+    text_column = "preparation"
+    ids = [str(i) for i in range(df.shape[0])]
+    documents = df[text_column].to_list()
+    metadatas = df.drop(text_column, axis=1).to_dict("records")
+
+    collection.add(ids=ids, documents=documents, metadatas=metadatas)
+
+    results = collection.query(query_texts=["sausage"], n_results=4)
+    print(results)
     return "Hello " + name + "!!"
 
 iface = gr.Interface(fn=greet, inputs="text", outputs="text")

requirements.txt

@@ -0,0 +1,2 @@
+chromadb
+pandas