main

.gitattributes

@@ -1,35 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -1 +0,0 @@
-.env

Dockerfile

@@ -1,24 +0,0 @@
-# Use an official Python runtime as a parent image
-FROM python:3.9
-
-# Create a non-root user and set the environment PATH
-RUN useradd -m -u 1000 user
-USER user
-ENV PATH="/home/user/.local/bin:$PATH"
-ENV GOOGLE_API_KEY=AIzaSyBI_ssWbmxY-WN6Uwqk2KNUwpc6GFJ-wb8
-ENV SECRET_KEY=your_secret_key
-
-# Set the working directory in the container
-WORKDIR /app
-
-# Copy the requirements file into the container
-COPY --chown=user ./requirements.txt requirements.txt
-
-# Install the required packages
-RUN pip install --no-cache-dir --upgrade -r requirements.txt
-
-# Copy the current directory contents into the container at /app
-COPY --chown=user . /app
-
-# Command to run the application using Hypercorn
-CMD ["hypercorn", "app:app", "--bind", "0.0.0.0:7860"]

Procfile

@@ -0,0 +1 @@
+web: python app.py

README.md

@@ -1,10 +0,0 @@
----
-title: QuizWiz
-emoji: 📈
-colorFrom: purple
-colorTo: pink
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -4,7 +4,6 @@ from dotenv import load_dotenv
 import os
 import json
 import google.generativeai as genai
-from asgiref.wsgi import WsgiToAsgi
 
 # Load environment variables
 load_dotenv()
@@ -13,9 +12,8 @@ load_dotenv()
 genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
 
 app = Flask(__name__)
-
 CORS(app)
-app.secret_key = os.getenv("SECRET_KEY", "fallback_secret_key")  # Use environment variable for secret key
+app.secret_key = os.getenv("SECRET_KEY", "fallback_secret_key")
 
 def get_gemini_response(input_text):
     model = genai.GenerativeModel("gemini-1.5-flash", generation_config={"response_mime_type": "application/json"})
@@ -28,7 +26,7 @@ def generate_quiz():
         quiz_data = request.json
         if not quiz_data:
             return jsonify({"error": "No data received"}), 400
-
+        
         prompt = f"""
         Create a quiz with the following parameters:
         - Target audience: {quiz_data['quiz_for']}
@@ -40,25 +38,29 @@ def generate_quiz():
 
         Use this JSON schema:
         {{
-            "question": "str",
-            "options": ["str", "str", "str", "str"],
-            "answer": "str"
+            "questions": [
+                {{
+                    "question": "str",
+                    "options": ["str", "str", "str", "str"],
+                    "correct_answer": "str"
+                }}
+            ]
         }}
-
+        
         Return a list of {quiz_data['numQuestions']} questions following this schema.
         """
-
+        
         raw_response = get_gemini_response(prompt)
-        print("Raw Response from Gemini:", raw_response)  # Log the raw response
-
+        print("Raw Response from Gemini:", raw_response)
+        
         data = json.loads(raw_response)
-        session['questions'] = data
+        session['questions'] = data['questions']
         return jsonify(data)
     except json.JSONDecodeError as e:
-        print("JSON Decode Error:", e)  # Log the error
+        print("JSON Decode Error:", e)
         return jsonify({"error": "Error parsing the response. Please try again."}), 400
     except Exception as e:
-        print("Error:", e)  # Log any other errors
+        print("Error:", e)
         return jsonify({"error": "An error occurred. Please try again."}), 500
 
 @app.route('/submit_quiz', methods=['POST'])
@@ -72,9 +74,9 @@ def submit_quiz():
         score = 0
         results = []
 
-        for idx, question in enumerate(questions, start=1):
-            correct_answer = question['answer']
-            user_answer = user_answers.get(f"group_{idx}")
+        for idx, question in enumerate(questions):
+            correct_answer = question['correct_answer']
+            user_answer = user_answers.get(f"question_{idx}")
             is_correct = user_answer == correct_answer
             if is_correct:
                 score += 1
@@ -87,10 +89,8 @@ def submit_quiz():
 
         return jsonify({"results": results, "score": score, "total": len(questions)})
     except Exception as e:
-        print("Error:", e)  # Log any errors
+        print("Error:", e)
         return jsonify({"error": "An error occurred. Please try again."}), 500
 
 if __name__ == '__main__':
-    import hypercorn.asyncio
-    hypercorn.asyncio.serve(WsgiToAsgi(app), hypercorn.Config.from_mapping(bind=["0.0.0.0:7860"]))
-    app.run(host='0.0.0.0', port=7860)
+    app.run(debug=True)

requirements.txt

@@ -1,6 +1,4 @@
 google-generativeai
 python-dotenv
 Flask
-flask_cors
-asgiref 
-hypercorn
+flask_cors

runtime.txt

@@ -0,0 +1 @@
+python-3.11.9