Upload app.py

app.py

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+
+import gradio as gr
+import openai
+import os
+
+# Ensure your OpenAI key is set in your HF Secrets (Settings > Secrets)
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+def summarize_pdf(file):
+    try:
+        # Read PDF file content
+        with open(file.name, "rb") as f:
+            import PyPDF2
+            reader = PyPDF2.PdfReader(f)
+            text = ""
+            for page in reader.pages:
+                text += page.extract_text()
+
+        if not text.strip():
+            return "❌ No extractable text found in the uploaded PDF."
+
+        # Send to OpenAI for summarization
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant that summarizes academic papers."},
+                {"role": "user", "content": f"Summarize this paper:\n\n{text}"}
+            ],
+            temperature=0.7,
+            max_tokens=1000
+        )
+
+        summary = response["choices"][0]["message"]["content"]
+        return summary.strip()
+
+    except Exception as e:
+        return f"⚠️ Error: {str(e)}"
+
+# Gradio UI
+demo = gr.Interface(
+    fn=summarize_pdf,
+    inputs=gr.File(label="Upload Research Paper PDF", file_types=[".pdf"]),
+    outputs=gr.Textbox(label="Full Summary"),
+    title="📄 Paper News Summarizer",
+    description="Upload a research paper PDF and get a human-friendly summary. Powered by GPT-3.5."
+)
+
+demo.launch()