Update app.py
Browse files
app.py
CHANGED
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@@ -28,7 +28,7 @@ Your task is to **align three sources**:
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- Use `##` for main questions and `###` for sub-questions.
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- Write **QP | MS | AS** exactly in that order.
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- Preserve all mathematical expressions inside fenced code blocks.
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- Do not re-create diagrams/graphs. Write `[Graph]`.
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- If part of the student's answer is unreadable, write `[illegible]`.
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- If a student skipped a question, write `[No response]`.
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- Keep MS annotations (M1, A1, R1, etc.) exactly as in the original.
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@@ -98,7 +98,6 @@ After the table, provide:
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}
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}
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-
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# -------------------- CONFIG --------------------
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genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
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@@ -112,88 +111,76 @@ def save_as_pdf(text, filename="output.pdf"):
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# ---------- HELPER: Create Model with Fallback ----------
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def create_model():
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try:
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return genai.GenerativeModel("gemini-2.5-pro", generation_config={"temperature": 0})
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except Exception:
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return genai.GenerativeModel("gemini-2.5-flash", generation_config={"temperature": 0})
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# ----------
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def
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try:
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qp_uploaded = genai.upload_file(path=qp_file, display_name="Question Paper")
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ms_uploaded = genai.upload_file(path=ms_file, display_name="Markscheme")
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ans_uploaded = genai.upload_file(path=ans_file, display_name="Answer Sheet")
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model = create_model()
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resp = model.generate_content([
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PROMPTS["ALIGNMENT_PROMPT"]["content"],
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qp_uploaded,
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ms_uploaded,
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ans_uploaded
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])
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-
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aligned_text = getattr(resp, "text", None)
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if not aligned_text and resp.candidates:
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aligned_text = resp.candidates[0].content.parts[0].text
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return aligned_text, pdf_path
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except Exception as e:
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return f"❌ Error during alignment: {e}", None
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#
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def grade(aligned_text, ans_file):
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try:
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model = create_model()
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response = model.generate_content([
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PROMPTS["GRADING_PROMPT"]["content"],
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aligned_text
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])
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grading = getattr(response, "text", None)
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if not grading and response.candidates:
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grading = response.candidates[0].content.parts[0].text
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#
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base_name = os.path.splitext(os.path.basename(ans_file))[0]
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pdf_path = save_as_pdf(grading, pdf_name)
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return grading, pdf_path
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except Exception as e:
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return f"❌ Error
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# ---------- GRADIO APP ----------
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with gr.Blocks(title="LeadIB AI Grading (Alignment + Grading)") as demo:
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gr.Markdown("## LeadIB AI Grading\nUpload Question Paper, Markscheme, and Student Answer Sheet
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with gr.Row():
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qp_file = gr.File(label="Upload Question Paper (PDF)", type="filepath")
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ms_file = gr.File(label="Upload Markscheme (PDF)", type="filepath")
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ans_file = gr.File(label="Upload Student Answer Sheet (PDF)", type="filepath")
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-
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with gr.Row():
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aligned_out = gr.Textbox(label="📄 Aligned QP | MS | AS", lines=20)
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aligned_pdf = gr.File(label="⬇️ Download Aligned (PDF)")
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# Step 2: Grading
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grade_btn = gr.Button("Step 2: Grade the Student")
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with gr.Row():
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grading_out = gr.Textbox(label="✅ Grading Report", lines=20)
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grading_pdf = gr.File(label="⬇️ Download Grading Report (PDF)")
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-
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-
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fn=align_documents,
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inputs=[qp_file, ms_file, ans_file],
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outputs=[aligned_out, aligned_pdf],
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show_progress=True
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)
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grade_btn.click(
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fn=grade,
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inputs=[aligned_out, ans_file],
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outputs=[grading_out, grading_pdf],
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show_progress=True
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)
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- Use `##` for main questions and `###` for sub-questions.
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- Write **QP | MS | AS** exactly in that order.
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- Preserve all mathematical expressions inside fenced code blocks.
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+
- Do not re-create diagrams/graphs. Write `[Graph omitted]`.
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- If part of the student's answer is unreadable, write `[illegible]`.
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- If a student skipped a question, write `[No response]`.
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- Keep MS annotations (M1, A1, R1, etc.) exactly as in the original.
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}
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}
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# -------------------- CONFIG --------------------
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genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
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# ---------- HELPER: Create Model with Fallback ----------
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def create_model():
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try:
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print("⚡ Using gemini-2.5-pro model")
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return genai.GenerativeModel("gemini-2.5-pro", generation_config={"temperature": 0})
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except Exception:
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print("⚡ Falling back to gemini-2.5-flash model")
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return genai.GenerativeModel("gemini-2.5-flash", generation_config={"temperature": 0})
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# ---------- PIPELINE: ALIGN + GRADE ----------
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def align_and_grade(qp_file, ms_file, ans_file):
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try:
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# Uploads
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qp_uploaded = genai.upload_file(path=qp_file, display_name="Question Paper")
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ms_uploaded = genai.upload_file(path=ms_file, display_name="Markscheme")
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ans_uploaded = genai.upload_file(path=ans_file, display_name="Answer Sheet")
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model = create_model()
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# Step 1: Alignment
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resp = model.generate_content([
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PROMPTS["ALIGNMENT_PROMPT"]["content"],
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qp_uploaded,
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ms_uploaded,
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ans_uploaded
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])
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aligned_text = getattr(resp, "text", None)
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if not aligned_text and resp.candidates:
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aligned_text = resp.candidates[0].content.parts[0].text
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aligned_pdf_path = save_as_pdf(aligned_text, "aligned_qp_ms_as.pdf")
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# Step 2: Grading (automatic)
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response = model.generate_content([
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PROMPTS["GRADING_PROMPT"]["content"],
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aligned_text
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])
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grading = getattr(response, "text", None)
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if not grading and response.candidates:
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grading = response.candidates[0].content.parts[0].text
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# Save grading report with student's answer filename
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base_name = os.path.splitext(os.path.basename(ans_file))[0]
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grading_pdf_path = save_as_pdf(grading, f"{base_name}_graded.pdf")
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return aligned_text, aligned_pdf_path, grading, grading_pdf_path
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except Exception as e:
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return f"❌ Error: {e}", None, None, None
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# ---------- GRADIO APP ----------
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with gr.Blocks(title="LeadIB AI Grading (Alignment + Auto-Grading)") as demo:
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gr.Markdown("## LeadIB AI Grading\nUpload Question Paper, Markscheme, and Student Answer Sheet.\nThe system will align and grade automatically.")
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with gr.Row():
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qp_file = gr.File(label="Upload Question Paper (PDF)", type="filepath")
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ms_file = gr.File(label="Upload Markscheme (PDF)", type="filepath")
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ans_file = gr.File(label="Upload Student Answer Sheet (PDF)", type="filepath")
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run_btn = gr.Button("Start Alignment + Auto-Grading")
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with gr.Row():
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aligned_out = gr.Textbox(label="📄 Aligned QP | MS | AS", lines=20)
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aligned_pdf = gr.File(label="⬇️ Download Aligned (PDF)")
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with gr.Row():
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grading_out = gr.Textbox(label="✅ Grading Report", lines=20)
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grading_pdf = gr.File(label="⬇️ Download Grading Report (PDF)")
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run_btn.click(
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fn=align_and_grade,
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inputs=[qp_file, ms_file, ans_file],
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outputs=[aligned_out, aligned_pdf, grading_out, grading_pdf],
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show_progress=True
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)
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