Update app.py

app.py

@@ -12,11 +12,7 @@ from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain_community.embeddings import SentenceTransformerEmbeddings
 from groq import Groq
 import gradio as gr
-from huggingface_hub import hf_hub_download, login
-
-# Login to Hugging Face Hub using your API token
-HUGGINGFACEHUB_API_TOKEN = os.getenv("HUGGINGFACEHUB_API_TOKEN")
-login(token=HUGGINGFACEHUB_API_TOKEN)
+import requests
 
 # Ensure the Tesseract OCR path is set correctly
 pytesseract.pytesseract.tesseract_cmd = r'/usr/bin/tesseract'
@@ -62,15 +58,16 @@ def compute_cosine_similarity_scores(query, retrieved_docs):
     return readable_scores
 
 def fetch_files_from_huggingface_space():
-    repo_id = "Luciferalive/goosev9"
-    file_names = [f"{i}.docx" for i in range(1, 22)]
+    base_url = "https://huggingface.co/spaces/Luciferalive/goosev9/blob/main/"
+    file_names = [f"{i}.docx" for i in range(2, 22)]
 
     file_contents = []
     for file_name in file_names:
+        file_url = f"{base_url}{file_name}"
         try:
-            file_path = hf_hub_download(repo_id, file_name)
-            with open(file_path, "rb") as f:
-                file_contents.append(f.read())
+            response = requests.get(file_url)
+            response.raise_for_status()
+            file_contents.append(response.content)
             print(f"Successfully downloaded {file_name}")
         except Exception as e:
             print(f"Failed to download {file_name}: {e}")
@@ -192,4 +189,3 @@ iface = gr.Interface(
 )
 
 iface.launch()
-