Create app.py

app.py

@@ -0,0 +1,48 @@
+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"  # Ollama API
+    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)