added code

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+import fitz  # PyMuPDF
+from transformers import pipeline
+
+# Load the Hugging Face question-answering pipeline
+qa_pipeline = pipeline("question-answering")
+
+def answer_question(pdf_file, question):
+    # Read the PDF file
+    doc = fitz.open(stream=pdf_file.read(), filetype="pdf")
+    text = ""
+    for page in doc:
+        text += page.get_text()
+
+    # Use the QA model to answer the question
+    answer = qa_pipeline(question=question, context=text)
+    return answer['answer']
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=answer_question,
+    inputs=[gr.inputs.File(type="pdf"), gr.inputs.Textbox(lines=2, placeholder="Type your question here...")],
+    outputs="text",
+    title="PDF Question Answering",
+    description="Upload a PDF document and ask a question based on its content."
+)
+
+interface.launch()