Merge pull request #50 from pcwerk/hf_dropdown

Hf dropdown

backend/routes/langchainCallRoute.js

@@ -72,4 +72,29 @@ langchainCallRoute.post("/updateTokenLimit", async (req, res) => {
   }
 });
 
+//Endpoint for HuggingFaceSQLCAll
+langchainCallRoute.post("/askhf", async (req, res) => {
+  //call fastapi from this endpoint
+  try {
+    //get user input
+    const userInput = req.body.data;
+
+    //make request to fastapi server
+    const fastResponse = await axios.post(
+      "http://langchain:8000/hfprocesstext",
+      {
+        human_input: userInput,
+      }
+    );
+
+    //response from fastapi
+    const dataFromFastapi = fastResponse.data;
+
+    res.json({ message: "Successful call to FastAPI", dataFromFastapi });
+  } catch (error) {
+    console.error("Error calling FastAPI", error);
+    res.status(500).json({ error: "Failed to call FastAPI" });
+  }
+});
+
 export default langchainCallRoute;

docker-compose.yml

@@ -1,7 +1,6 @@
-version: '3.8'
+version: "3.8"
 
 services:
-
   frontend:
     container_name: lp-toolkit-frontend
     build:
@@ -42,6 +41,7 @@ services:
       - ./langchain/app:/usr/src/app
     environment:
       - OPENAI_API_KEY=${OPENAI_API_KEY}
+      - HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
     restart: unless-stopped
     networks:
       - express-mongo

frontend/src/components/Chat.jsx

@@ -18,7 +18,7 @@ const chatOptionsData = [
     title: "Hugging Face",
     message: "Leverage Hugging Face models for diverse AI tasks.",
     image: huggingfaceIcon,
-    apiEndpoint: "http://localhost:5050/huggingFaceCallRoute/ask",
+    apiEndpoint: "http://localhost:5050/langchainCallRoute/askhf",
   },
 ];