Create app.py

app.py

@@ -0,0 +1,128 @@
+import json
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
+
+
+def system_instructions(question_difficulty, tone, topic):
+    return f"""<s> [INST] Your task is to create 10 questions with 4 choices with a {question_difficulty} difficulty in a {tone} tone about {topic}, then create an answers. Index in JSON, the questions as "Q#":"" to "Q#":"", the four choices as "Q#:C1":"" to "Q#:C4":"", and the answers as "A#":"Q#:C#" to "A#":"Q#:C#". [/INST]"""
+
+
+with gr.Blocks(title="Quizmona", theme=gr.themes.Default(primary_hue="green", secondary_hue="green"), css="style.css") as demo:
+    gr.HTML("""
+<center>
+<h1>Quizmona</h1>
+<h2>AI-powered Learning Game</h2>
+</center>
+""")
+
+    topic = gr.Textbox(label="Topic", placeholder="Write any topic")
+
+    with gr.Row():
+        radio = gr.Radio(
+            ["easy", "average", "hard"], label="How difficult should the quiz be?"
+        )
+
+        radio_tone = gr.Radio(
+            ["casual", "professional", "academic"], label="What tone should the quiz be?"
+        )
+
+    generate_quiz_btn = gr.Button("Generate Quiz!🚀")
+
+    question_radios = [gr.Radio(visible=False), gr.Radio(visible=False), gr.Radio(
+        visible=False), gr.Radio(visible=False), gr.Radio(visible=False), gr.Radio(visible=False), gr.Radio(visible=False), gr.Radio(
+        visible=False), gr.Radio(visible=False), gr.Radio(visible=False)]
+
+    print(question_radios)
+
+    @generate_quiz_btn.click(inputs=[radio, radio_tone, topic], outputs=question_radios, api_name="generate_quiz")
+    def generate_quiz(question_difficulty, tone, user_prompt):
+        formatted_prompt = system_instructions(
+            question_difficulty, tone, user_prompt)
+
+        pre_prompt = [
+            {"role": "system", "content": formatted_prompt}
+        ]
+
+        generate_kwargs = dict(
+            temperature=0.5,
+            max_new_tokens=1024,
+            top_p=0.95,
+            repetition_penalty=1.0,
+            do_sample=True,
+            seed=42,
+        )
+
+        response = client.text_generation(
+            formatted_prompt, **generate_kwargs, stream=False, details=False, return_full_text=False,
+            # One question with choices and answer is on average 57 tokens
+        )
+
+        filtered_response = response.choices[0].message.content
+
+        output_json = json.loads(f"{filtered_response}")
+
+        print(output_json)
+
+        global quiz_data
+
+        quiz_data = output_json
+
+        question_radio_list = []
+
+        for question_num in range(1, 11):
+            question_key = f"Q{question_num}"
+            answer_key = f"A{question_num}"
+
+            question = quiz_data.get(question_key)
+            answer = quiz_data.get(quiz_data.get(answer_key))
+
+            if not question or not answer:
+                continue
+
+            choice_keys = [f"{question_key}:C{i}" for i in range(1, 5)]
+            choice_list = []
+            for choice_key in choice_keys:
+                choice = quiz_data.get(choice_key, "Choice not found")
+                choice_list.append(f"{choice}")
+
+            radio = gr.Radio(choices=choice_list, label=question,
+                             visible=True, interactive=True)
+
+            question_radio_list.append(radio)
+
+        print(question_radio_list)
+
+        return question_radio_list
+
+    check_button = gr.Button("Check Score")
+
+    score_textbox = gr.Markdown()
+
+    @check_button.click(inputs=question_radios, outputs=score_textbox)
+    def compare_answers(*user_answers):
+        user_anwser_list = []
+        user_anwser_list = user_answers
+
+        answers_list = []
+
+        for question_num in range(1, 20):
+            answer_key = f"A{question_num}"
+            answer = quiz_data.get(quiz_data.get(answer_key))
+            if not answer:
+                break
+            answers_list.append(answer)
+
+        score = 0
+
+        for item in user_anwser_list:
+            if item in answers_list:
+                score += 1
+
+        message = f"### You got {score} over 10!"
+
+        return message
+
+if __name__ == "__main__":
+    demo.launch(show_api=False)