Create app.py

app.py

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+import gradio as gr
+import pdfplumber
+import openai
+import os
+
+# Set your OpenAI API key (set it in Hugging Face Secrets for security)
+openai.api_key = os.getenv("AIzaSyB9xXfstwZf8htC-lTjD3nwCHChbh-zWtg")
+client = openai.OpenAI()
+
+def analyze_pdf(pdf_file):
+    # Extract text from PDF
+    with pdfplumber.open(pdf_file) as pdf:
+        text = "\n".join([page.extract_text() or "" for page in pdf.pages])
+    
+    if not text.strip():
+        return "No readable text found in the PDF."
+
+    # Build the prompt
+    prompt = f"""Analyze the following research paper content:
+{text}
+Please:
+1. Summarize each section of the paper.
+2. Identify any potential research gaps.
+3. Provide constructive suggestions for improving the paper."""
+
+    # Send to OpenAI
+    response = client.chat.completions.create(
+        model="gpt-3.5-turbo",  # or "gpt-4"
+        messages=[
+            {"role": "user", "content": prompt}
+        ],
+        temperature=0.7,
+        max_tokens=2000
+    )
+
+    result = response.choices[0].message.content
+    return result
+
+# Gradio UI
+iface = gr.Interface(
+    fn=analyze_pdf,
+    inputs=gr.File(label="Upload Research Paper (PDF)", file_types=[".pdf"]),
+    outputs=gr.Textbox(label="Critique Output", lines=30),
+    title="🧠 Research Paper Critique Generator",
+    description="Upload a research paper PDF to get summaries, research gaps, and improvement suggestions using GPT."
+)
+
+iface.launch()