app_working_v3.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"mount_file_id":"1GJqbnxXPPO52NoEkfeGGbEv9NWphTZEj","authorship_tag":"ABX9TyPB1m/8pgtV16I13OxGQoiq"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KBUivW1Ywyea","executionInfo":{"status":"ok","timestamp":1722767189003,"user_tz":-330,"elapsed":18075,"user":{"displayName":"Amanpreet Singh","userId":"16821451784776973157"}},"outputId":"c945c1b6-f848-42f1-e311-9b117c73bec4"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m43.7/43.7 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9.4/9.4 MB\u001b[0m \u001b[31m57.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h"]}],"source":["!pip install --quiet --upgrade gradio transformers"]},{"cell_type":"code","source":["import gradio as gr\n","import sys\n","import io\n","import pandas as pd\n","\n","def get_questions_list():\n","  path_to_data_files = \"/content/drive/MyDrive/official/Creations/hackathon-GeminiAPIDeveloper - Aug2024/synthetic_dataset/csv_equivalents/\"\n","  qa_file = path_to_data_files + \"financial_literacy_quiz.csv\"\n","  qa_df = pd.read_csv(qa_file)\n","  questions_list = []\n","  for row in qa_df.itertuples():\n","    question = row.Question\n","    options = [row.optionA, row.optionB, row.optionC, row.optionD]\n","    if row.Answer == \"A\":\n","      answer = row.optionA\n","    elif row.Answer == \"B\":\n","      answer = row.optionB\n","    elif row.Answer == \"C\":\n","      answer = row.optionC\n","    elif row.Answer == \"D\":\n","      answer = row.optionD\n","\n","    questions_list.append({\n","              \"question\": question,\n","              \"options\": options,\n","              \"answer\": answer\n","          })\n","  return questions_list\n","\n","def quiz():\n","    questions = get_questions_list()\n","\n","    def check_answer(question_index, selected_option):\n","        if selected_option == questions[question_index][\"answer\"]:\n","            return f\"#### Correct! The answer is {questions[question_index]['answer']}\"\n","        else:\n","            return f\"#### Incorrect. The correct answer is {questions[question_index]['answer']}\"\n","\n","\n","    with gr.Blocks() as interface:\n","\n","        question_index = gr.State(0)\n","        score = gr.State(0)\n","\n","        gr.Markdown(\"## Financial Literacy...\")\n","\n","        def display_question():\n","            return \"#### \" + questions[question_index.value][\"question\"]\n","\n","        def display_options():\n","            return questions[question_index.value][\"options\"]\n","\n","        question_text = gr.Markdown(display_question())\n","        sys.stdout.write(f\"\\nquestion_text.value: {question_text.value}\")\n","\n","        option_buttons = gr.Radio(display_options(), label=\"Options\")\n","        sys.stdout.write(f\"\\noption_buttons.value: {option_buttons.value}\")\n","\n","        check_button = gr.Button(\"Check Answer\")\n","        sys.stdout.write(f\"\\ncheck_button.value: {check_button.value}\")\n","\n","        result_text = gr.Markdown(\"\")\n","        sys.stdout.write(f\"\\nresult_text.value: {result_text.value}\")\n","\n","        score_text = gr.Markdown(f\"### Score: {score.value}\")\n","        sys.stdout.write(f\"\\nscore_text.value: {score_text.value}\")\n","\n","\n","        def update_question(selected_option):\n","\n","            sys.stdout.write(f\"Selected option index: {selected_option}\")  # Print the selected option index\n","            sys.stdout.write(f\"\\nCurrent question index: {question_index.value}\")  # Print the current question index\n","\n","            result = check_answer(question_index.value, selected_option)\n","            sys.stdout.write(f\"\\nResult from check_answer: {result}\")  # Print the result of answer checking\n","\n","            result_text.value = result\n","            sys.stdout.write(f\"\\nresult_text.value: {result_text.value}\")\n","            if \"Correct\" in result:\n","                score.value += 1\n","            score_text.value = f\"Score: {score.value}\"\n","            question_index.value += 1\n","\n","            sys.stdout.write(f\"\\nUpdated question index: {question_index.value}\")  # Print the updated question index\n","            sys.stdout.write(f\"\\nscore_text.value: {score_text.value}\")\n","\n","            if question_index.value < len(questions):\n","              return(\n","                result,\n","                \"#### \" + questions[question_index.value][\"question\"],\n","                gr.update(choices=questions[question_index.value][\"options\"]),  # Update choices here\n","                check_button.value,\n","                \"### \" + score_text.value\n","              )\n","            else:\n","              question_index.value = 0\n","              return(\n","                  result,\n","                  \"#### \" + questions[question_index.value][\"question\"],\n","                  gr.update(choices=questions[question_index.value][\"options\"]),  # Update choices here\n","                  check_button.value,\n","                  \"### \" + score_text.value\n","              )\n","\n","        check_button.click(update_question, inputs=[option_buttons], outputs=[result_text, question_text, option_buttons, check_button, score_text])\n","\n","    interface.launch(show_error=True)"],"metadata":{"id":"MPQHWTPHw26y","executionInfo":{"status":"ok","timestamp":1722765127364,"user_tz":-330,"elapsed":406,"user":{"displayName":"Amanpreet Singh","userId":"16821451784776973157"}}},"execution_count":18,"outputs":[]},{"cell_type":"code","source":["quiz()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":732},"id":"Uf6Rj-Whw3jI","executionInfo":{"status":"ok","timestamp":1722765130427,"user_tz":-330,"elapsed":1022,"user":{"displayName":"Amanpreet Singh","userId":"16821451784776973157"}},"outputId":"66e210eb-4777-4f1e-ec89-359fab37295b"},"execution_count":19,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","question_text.value: #### What's the first step to creating a budget?\n","option_buttons.value: None\n","check_button.value: Check Answer\n","result_text.value: \n","score_text.value: ### Score: 0Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n","\n","Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n","Running on public URL: https://fc0710e038d92793ca.gradio.live\n","\n","This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["<div><iframe src=\"https://fc0710e038d92793ca.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"]},"metadata":{}}]},{"cell_type":"code","source":["import gradio as gr\n","\n","def generate_markdown(input_text):\n","  \"\"\"\n","  This function takes input text and formats it into Markdown.\n","\n","  Args:\n","      input_text: The text to be formatted.\n","\n","  Returns:\n","      The formatted Markdown text.\n","  \"\"\"\n","  markdown_output = f\"\"\"\n","  ## Your Input:\n","\n","  {input_text}\n","\n","  ## Markdown Output:\n","\n","  * This is a simple example of how to display Markdown output in a Gradio app.\n","  * You can use various Markdown elements like headings, lists, code blocks, etc.\n","  \"\"\"\n","  return markdown_output\n","\n","iface = gr.Interface(\n","    fn=generate_markdown,\n","    inputs=\"text\",\n","    outputs=gr.Markdown(),  # Use gr.outputs.Markdown for Markdown rendering\n","    title=\"Markdown Output Example\"\n",")\n","iface.launch()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":646},"id":"RLDvJJUCw3b8","executionInfo":{"status":"ok","timestamp":1722767214096,"user_tz":-330,"elapsed":1483,"user":{"displayName":"Amanpreet Singh","userId":"16821451784776973157"}},"outputId":"64a57844-5d3a-45ca-f3d1-1bc9cb3a46cf"},"execution_count":22,"outputs":[{"output_type":"stream","name":"stdout","text":["Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n","\n","Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n","Running on public URL: https://43b02927bb2ed669b3.gradio.live\n","\n","This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["<div><iframe src=\"https://43b02927bb2ed669b3.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"]},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":[]},"metadata":{},"execution_count":22}]},{"cell_type":"code","source":[],"metadata":{"id":"5XrQRJl7w3ZP"},"execution_count":null,"outputs":[]}]}