Upload 2 files

app.py

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+import os
+from google import genai
+from google.genai import types
+import gradio as gr
+from google.colab import userdata
+
+client=genai.Client(api_key=os.get("GEMINI_API_KEY"))
+
+Question_type={
+    "MCQs":"Generate question of MCQs type based upon the content given.",
+    "Short Answer":"Generate question of short-answer type based upon the content given.",
+    "Interview":"Generate question of Interview type based upon the content given."
+}
+def question_generator(content,question_type):
+  system_prompt=Question_type[question_type]
+  
+  response=client.models.generate_content(
+      model="gemini-2.5-flash",
+      config=types.GenerateContentConfig(
+          system_instruction=system_prompt,
+          temperature=0.7,
+          max_output_tokens=1000
+      ),
+      Contents=content
+  )
+  return response.text
+
+  demo=gr.Interface(
+      fn=question_generator,
+      inputs=[gr.Textbox(lines=4,placeholder="Paste Content/study material...",label="inputContent"),
+              gr.Dropdown(choices=list(Question_type.keys()),label="question_type",value="MCQs")],
+      outputs=gr.Textbox(lines=12,label="Generated Questions"),
+      title="Question Generator",
+      description="Paste the Content/Study material and get the questions of the selected type."
+  )
+
+  demo.launch(debug=True)

requirement.txt

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+gradio
+google-genai