Update app.py

app.py

@@ -12,8 +12,8 @@ from langchain.schema import Document
 from langchain_groq import ChatGroq
 
 # --- Environment Variables ---
-GROQ_API_KEY = os.getenv("GROQ_API_KEY", "your-groq-api-key")
-HUGGINGFACE_API_KEY = os.getenv("HUGGINGFACE_API_KEY", "your-huggingface-api-key")
+# GROQ_API_KEY = os.getenv("GROQ_API_KEY", "your-groq-api-key")
+# HUGGINGFACE_API_KEY = os.getenv("HUGGINGFACE_API_KEY", "your-huggingface-api-key")
 
 # --- Initialize Groq LLM ---
 # llm = GroqLLM(
@@ -28,14 +28,14 @@ llm = ChatGroq(
 )
 
 # --- HuggingFace Embeddings ---
-# embedding = HuggingFaceEmbeddings(
-#     model_name="sentence-transformers/all-MiniLM-L6-v2",
-#     cache_folder="./hf_cache",
-#     huggingfacehub_api_token=HUGGINGFACE_API_KEY
-# )
 embedding = HuggingFaceEmbeddings(
-    model_name="sentence-transformers/all-MiniLM-L6-v2"
+    model_name="sentence-transformers/all-MiniLM-L6-v2",
+    cache_folder="./hf_cache",
+    huggingfacehub_api_token=HUGGINGFACE_API_KEY
 )
+# embedding = HuggingFaceEmbeddings(
+#     model_name="sentence-transformers/all-MiniLM-L6-v2"
+# )
 
 # --- Streamlit UI ---
 st.title("📄📥 Chat with PDF or Text using Groq + RAG")