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