| import httpx |
| import json |
| def safe_json_parse(text: str): |
| try: |
| return json.loads(text) |
| except: |
| return {"error": "Invalid JSON", "raw_output": text} |
|
|
|
|
|
|
| def grade_answer_image(student_answer: str, model: str = "grader"): |
| url = "http://localhost:11434/api/generate" |
| payload = { |
| "model": model, |
| "prompt": f"Student Answer:\n{student_answer}", |
| "stream": False |
| } |
| with httpx.Client() as client: |
| response = client.post(url, json=payload, timeout=None) |
| output = response.json().get("response", "") |
| return safe_json_parse(output) |
|
|
|
|
|
|
| from google import genai |
|
|
| def extract_ans(image_path): |
| client = genai.Client(api_key="AIzaSyCMdx_XOa_u6VqatyFTenwaaUg5VEJ3cDE") |
|
|
| myfile = client.files.upload(file=image_path) |
|
|
| response = client.models.generate_content( |
| model="gemini-2.5-flash", contents=["Extract text from this image", myfile] |
| ) |
|
|
| |
| return grade_answer_image(response.text) |
|
|
|
|
|
|
| import gradio as gr |
|
|
| interface=gr.Interface( |
| fn=extract_ans, |
| inputs=gr.Image(type="filepath", label="Upload Image"), |
| outputs=gr.JSON(label="Grading Result (JSON Output from Model)"), |
| ) |
| interface.launch(debug=True) |
