Finish app.py and requirements.txt

app.py

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+import chromadb
+import gradio
+import sentence_transformers
+from chromadb.config import Settings
+import gradio as gr
+
+from sentence_transformers import SentenceTransformer
+model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
+
+# Creating client
+client = chromadb.PersistentClient(path="./chromadb")
+collection = client.get_or_create_collection("my_collection")
+# The above code snippet was created by chatGPT 5.0 at 1:55p on 11/17/25
+
+print(collection.count())
+
+# Define a search function
+def semantic_search(query):
+    query_embedding = model.encode([query])
+    results = collection.query(query_embeddings=query_embedding.tolist(), n_results=1)
+    return "\n\n".join(results['documents'][0])
+
+# Simple Gradio interface
+demo = gr.Interface(
+    fn=semantic_search,
+    inputs=gr.Textbox(label="Enter your search query"),
+    outputs=gr.Textbox(label="Top Matches"),
+    title="Semantic Search Engine",
+    description="Search over your custom dataset using semantic similarity."
+)
+
+demo.launch()

requirements.txt

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+nltk
+sentence_transformers
+chromadb
+gradio