Update app.py

with gr.Blocks(
title="PDF Q&A Chatbot",
css=".clear-btn button { height: 100%; }"
) as demo:

gr.Markdown("## 📄 PDF Q&A Chatbot\nUpload a PDF and ask questions about its content.")

state = gr.State({"chunks": [], "index": None, 'pdf_count':0})

with gr.Row():
with gr.Column(scale=1):
pdf_input = gr.File(label="Upload PDF(s)", file_types=[".pdf"], multiple=True)
pdf_status = gr.Textbox(label="Status", interactive=False)

with gr.Column(scale=2):
with gr.Row():
question = gr.Textbox(label="Your question", lines=2, scale =3)
clear_button = gr.Button("Clear", scale=1, min_width=80, elem_classes="clear-btn")

answer = gr.Textbox(label="Answer", lines=8)
ask_button = gr.Button("Ask")


pdf_input.upload(load_pdf, inputs=[pdf_input, state], outputs=[pdf_status, state])
ask_button.click(answer_question, inputs=[question, state], outputs=answer)
clear_button.click(lambda: "", outputs=question)

app.py

@@ -146,32 +146,35 @@ def generate_answer(question, context):
 # GRADIO CALLBACKS
 # ============================================================
 
-def load_pdf(file, state):
-    if file is None:
+def load_pdf(files, state):
+    if not files:
         return "No file uploaded.", state
 
     try:
-        # Read and chunk the new PDF
-        text = read_pdf(file)
-        new_chunks = chunk_text(text)
+        for file in files:
+            text = read_pdf(file)
+            new_chunks = chunk_text(text)
 
-        if not new_chunks:
-            return "Could not extract text from PDF.", state
+            if not new_chunks:
+                continue
 
-        # Append to existing chunks
-        state["chunks"].extend(new_chunks)
+            state["chunks"].extend(new_chunks)
+            state["pdf_count"] += 1
 
         # Rebuild vectorstore with ALL chunks
         index, _ = build_vectorstore(state["chunks"])
         state["index"] = index
 
-        state["pdf_count"] += 1
-        return f"PDF #{state['pdf_count']} added. Total chunks: {len(state['chunks'])}", state
+        return (
+            f"{state['pdf_count']} PDF(s) loaded. Total chunks: {len(state['chunks'])}",
+            state,
+        )
 
     except Exception as e:
         return f"Error processing PDF: {e}", state
 
 
+
 def answer_question(question, state):
     
     print("HF_TOKEN loaded:", HF_TOKEN is not None)
@@ -197,20 +200,24 @@ def answer_question(question, state):
 # GRADIO UI
 # ============================================================
 
-with gr.Blocks(title="PDF Q&A Chatbot") as demo:
+with gr.Blocks(
+        title="PDF Q&A Chatbot",
+        css=".clear-btn button { height: 100%; }"
+    ) as demo:
+    
     gr.Markdown("## 📄 PDF Q&A Chatbot\nUpload a PDF and ask questions about its content.")
 
     state = gr.State({"chunks": [], "index": None, 'pdf_count':0})
 
     with gr.Row():
         with gr.Column(scale=1):
-            pdf_input = gr.File(label="Upload PDF", file_types=[".pdf"])
+            pdf_input = gr.File(label="Upload PDF(s)", file_types=[".pdf"], multiple=True)
             pdf_status = gr.Textbox(label="Status", interactive=False)
 
         with gr.Column(scale=2):
             with gr.Row():
-                question = gr.Textbox(label="Your question", lines=2)
-                clear_button = gr.Button("Clear Question")
+                question = gr.Textbox(label="Your question", lines=2, scale =3)
+                clear_button = gr.Button("Clear", scale=1, min_width=80, elem_classes="clear-btn")
             
             answer = gr.Textbox(label="Answer", lines=8)
             ask_button = gr.Button("Ask")
@@ -222,5 +229,6 @@ with gr.Blocks(title="PDF Q&A Chatbot") as demo:
 
 
 
+
 if __name__ == "__main__":
     demo.launch()