Adding Rust example querying image with text (#145)

* Adding example querying image with text

* Fix README

Author: deven96

.github/workflows/test.yml

@@ -61,7 +61,6 @@ jobs:
 
   run-python-tests:
     if: always()
-    # needs: ["run-rust-tests"]
     runs-on: ubuntu-latest
 
     steps:

ahnlich/Makefile

@@ -48,7 +48,7 @@ run-db-tracing: ## Run ahnlich_db bin with  tracing enabled
 	cargo run --bin ahnlich-db run --enable-tracing
 
 run-ai: ## Run ahnlich_ai bin with default supported models
-	cargo run --bin ahnlich-ai run --supported-models all-minilm-l6-v2,resnet-50,bge-base-en-v1.5
+	cargo run --bin ahnlich-ai run --supported-models all-minilm-l6-v2,resnet-50,bge-base-en-v1.5,clip-vit-b32-text,clip-vit-b32-image
 
 run-ai-tracing: ## Run ahnlich_ai bin with default supported models and tracing_enabled
 	cargo run --bin ahnlich-ai run --supported-models all-minilm-l6-v2,resnet-50 --enable-tracing

ahnlich/ai/src/engine/store.rs

@@ -237,6 +237,9 @@ impl AIStoreHandler {
         preprocess_action: PreprocessAction,
     ) -> Result<StoreSetResponse, AIProxyError> {
         let store = self.get(store_name)?;
+        if inputs.is_empty() {
+            return Ok((vec![], None));
+        }
         let (validated_data, delete_hashset) =
             self.validate_and_prepare_store_data(store_name, inputs)?;
 

ahnlich/client/src/conn/ai.rs

@@ -11,7 +11,6 @@ pub struct AIConn {
 
 impl AIConn {
     pub(crate) async fn new(host: &str, port: u16) -> Result<Self, AhnlichError> {
-        println!("Creating pool with {host}:{port}");
         let stream = TcpStream::connect(format!("{host}:{port}")).await?;
         Ok(Self { stream })
     }

ahnlich/client/src/conn/db.rs

@@ -11,7 +11,6 @@ pub struct DBConn {
 
 impl DBConn {
     pub(crate) async fn new(host: &str, port: u16) -> Result<Self, AhnlichError> {
-        println!("Creating pool with {host}:{port}");
         let stream = TcpStream::connect(format!("{host}:{port}")).await?;
         Ok(Self { stream })
     }

examples/python/book-search/README.md

@@ -1,6 +1,6 @@
 ## Book search example for Python SDK
 
-An example on how to use the python sdk that shows the process fo splitting and 
+An example on how to use the python sdk that shows the process of splitting and 
 inserting an epub ebook into the db and querying it via a search phrase either directly or contextually
 
 To install dependencies (ensure you have poetry installed)  
@@ -16,4 +16,4 @@ To search run
 
 ![insertion gif](searchphrase.gif)
 
-Note that the epub file being split _(Animal Farm by George Orwell)_ is available locally in the example file and the example can be editted to customize processes and play around with input and output.
+Note that the epub file being split _(Animal Farm by George Orwell)_ is available locally in the example file and the example can be editted to customize processes and play around with input and output.