Update app.py

app.py

@@ -1,5 +1,3 @@
-
-
 import os
 from docx import Document
 from sentence_transformers import SentenceTransformer
@@ -9,6 +7,7 @@ import pickle
 from langchain_community.llms import HuggingFaceEndpoint
 from langchain_community.vectorstores import FAISS
 from langchain_community.embeddings import HuggingFaceEmbeddings
+import gradio as gr
 
 # Initialize the embedding model
 embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
@@ -112,15 +111,17 @@ def query_text(text):
         return f"Error querying text: {e}"
 
 # Sample Gradio integration (for illustration)
-import gradio as gr
-
 def main():
     gr.Interface(
-        [upload_files, query_text],
-        ["files", "text"],
-        ["text", "text"],
-        title="Document Upload and Query System",
-        description="Upload DOCX files to build an index, then query for answers based on uploaded documents.",
+        [
+            upload_files,
+            query_text
+        ],
+        [
+            "files",
+            "text"
+        ],
+        "text"
     ).launch()
 
 if __name__ == "__main__":
@@ -135,13 +136,3 @@ if __name__ == "__main__":
 
 
 
- 
-       
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-