Update app.py

app.py

@@ -12,12 +12,21 @@ from langchain import HuggingFaceHub
 
 # Set your API keys
 API_KEY = os.environ["API_KEY"] 
+pdf_path = '/home/user/Adventure Works Analysis Report.pdf'
 
 # Create a temporary upload directory
 
 # Define global variables for loaders and index
 index = None
-
+def load_file(pdf_path):
+                global index
+                pdf_loader = UnstructuredPDFLoader(pdf_path)
+                index = VectorstoreIndexCreator(
+                embedding=HuggingFaceEmbeddings(),
+                text_splitter=CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
+                ).from_loaders([pdf_loader])
+                return "DONE ✅"
+load_file(pdf_path)
 
 def chat(message,history):
     global index
@@ -48,23 +57,8 @@ chat_interface = gr.ChatInterface(
 
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     with gr.Row():
-        with gr.Column(scale=1):
-            with gr.Row():
-                upload_file = gr.File(label="Upload a PDF",file_types=["pdf"])
-            with gr.Row():
-                upload_button = gr.Button(label="Upload a PDF")
-            with gr.Row():
-                text = gr.Textbox(label="Status")
-            def load_file(pdf_file):
-                global index
-                pdf_loader = UnstructuredPDFLoader(pdf_file.name)
-                index = VectorstoreIndexCreator(
-                embedding=HuggingFaceEmbeddings(),
-                text_splitter=CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-                ).from_loaders([pdf_loader])
-                return "DONE ✅"
-            upload_button.click(load_file, [upload_file], text)
-        with gr.Column(scale=2):
+        with gr.Column():
+            # text = gr.Textbox(load_file, [pdf_path],label="Status")
             chat_interface = gr.ChatInterface(
                             chat,
                             theme=gr.themes.Soft()