Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the Hugging Face model for question answering
+qa_model = pipeline("question-answering")
+
+# Function to handle PDF input and return chatbot responses
+def chatbot_function(pdf_file):
+    # Your PDF processing logic here
+    # For simplicity, let's assume you convert the PDF to text
+    with open(pdf_file, "r", encoding="utf-8") as file:
+        pdf_text = file.read()
+
+    # Use the question answering model to get responses
+    question = "What is your question?"
+    answer = qa_model(question=question, context=pdf_text)
+
+    return answer["answer"]
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=chatbot_function,
+    inputs=gr.File(type="file", label="Upload PDF File"),
+    outputs="text",
+    live=True,
+    title="Chatbot for PDF Documents",
+    description="Upload a PDF document and ask questions to the chatbot.",
+)
+
+# Launch the Gradio app
+iface.launch()