Create app.py

app.py

@@ -0,0 +1,48 @@
+import gradio as gr
+from transformers import pipeline
+import PyPDF2
+
+# Load the explainer model
+explainer = pipeline("text2text-generation", model="google/flan-t5-base")
+
+def extract_text_from_pdf(pdf_file):
+    text = ""
+    try:
+        with open(pdf_file.name, 'rb') as pdfFileObj:
+            pdfReader = PyPDF2.PdfReader(pdfFileObj)
+            for pageNum in range(len(pdfReader.pages)):
+                pageObj = pdfReader.pages[pageNum]
+                text += pageObj.extract_text()
+    except Exception as e:
+        return f"Error reading PDF: {e}"
+    return text
+
+def process_and_explain(pdf_file, concept_to_explain):
+    if pdf_file is not None:
+        extracted_text = extract_text_from_pdf(pdf_file)
+        if "Error reading PDF" in extracted_text or not extracted_text.strip():
+            return "Could not extract text from the PDF. Please try another file."
+
+        prompt = f"Explain the concept of '{concept_to_explain}' based on this text: '{extracted_text[:1500]}...' in simple terms." # Limiting text for the model
+        explanation_result = explainer(prompt, max_length=300, do_sample=False)
+        explanation = explanation_result[0]["generated_text"]
+        return f"**Extracted Text Snippet:**\n{extracted_text[:500]}...\n\n**Explanation of '{concept_to_explain}':**\n{explanation}"
+    else:
+        return "Please upload a PDF file."
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Explain Concepts from Uploaded PDFs")
+    gr.Markdown("Upload a PDF, and then specify a concept you'd like explained based on its content.")
+
+    pdf_input = gr.File(label="Upload PDF", file_types=[".pdf"])
+    concept_input = gr.Textbox(label="Concept to Explain", placeholder="E.g., Climate Change")
+    explain_button = gr.Button("Explain Concept")
+    output_text = gr.Markdown(label="Explanation")
+
+    explain_button.click(
+        fn=process_and_explain,
+        inputs=[pdf_input, concept_input],
+        outputs=output_text
+    )
+
+demo.launch()