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Update app.py
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app.py
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@@ -4,19 +4,23 @@ import json
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import time
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import tempfile
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import google.generativeai as genai
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from fastapi import FastAPI, HTTPException, UploadFile, File
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel, Field, validator
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from quiz import QuizManager, SUBJECTS, DIFFICULTIES
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# ββ Startup checks βββββββββββββββββββββββββββββββββββββββββββ
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api_key = os.getenv("GEMINI_API_KEY")
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if not api_key:
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raise ValueError("GEMINI_API_KEY environment variable not set")
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# ββ
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app = FastAPI(
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title="NEET/JEE Quiz Generator API",
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description="RAG-powered MCQ generator for competitive exam prep",
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@@ -31,10 +35,10 @@ app.add_middleware(
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allow_headers=["*"],
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)
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# ββ Global quiz manager
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quiz_manager = QuizManager()
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# ββ
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class TextRequest(BaseModel):
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text: str = Field(..., min_length=100)
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subject: str = Field(...)
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@@ -69,8 +73,8 @@ class HealthResponse(BaseModel):
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model: str
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version: str
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# ββ Endpoints βββββββββββββββββββββββββββββββββββββββββββββ
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@app.get("/", response_model=HealthResponse)
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async def health():
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return HealthResponse(
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status="healthy",
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@@ -88,25 +92,22 @@ async def generate_from_text(req: TextRequest):
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status_code=400,
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detail="Notes too short. Please provide more content."
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)
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session = quiz_manager.create_quiz(
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topic
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subject
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chapter
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exam_type
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difficulty
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num_questions
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)
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return QuizResponse(
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success
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session_id
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total_questions
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time_limit_minutes
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quiz
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generated_in_seconds
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)
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except HTTPException:
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raise
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except RuntimeError as e:
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@@ -134,7 +135,9 @@ async def generate_from_pdf(
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)
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start = time.time()
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with tempfile.NamedTemporaryFile(
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content = await file.read()
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tmp.write(content)
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tmp_path = tmp.name
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@@ -147,12 +150,12 @@ async def generate_from_pdf(
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num_questions=num_questions
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)
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return QuizResponse(
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success
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session_id
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total_questions
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time_limit_minutes
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quiz
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generated_in_seconds
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)
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except Exception as e:
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raise HTTPException(
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@@ -224,4 +227,14 @@ def _estimate_rank(percentage: float, exam_type: str) -> str:
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if percentage >= 70: return "IIT eligible"
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if percentage >= 55: return "NIT Top-tier eligible"
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if percentage >= 40: return "NIT eligible"
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return "Below JEE cut-off range"
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import time
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import tempfile
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import gradio as gr
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from gradio.routes import mount_gradio_app
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import google.generativeai as genai
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from fastapi import FastAPI, HTTPException, UploadFile, File
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel, Field, validator
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from quiz import QuizManager, SUBJECTS, DIFFICULTIES
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from gradio_ui import build_gradio_app
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# ββ Startup checks βββββββββββββββββββββββββββββββββββββββββββ
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api_key = os.getenv("GEMINI_API_KEY")
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if not api_key:
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raise ValueError("GEMINI_API_KEY environment variable not set")
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# ββ FastAPI app ββββββββββββββββββββββββββββββββββββββββββββββ
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app = FastAPI(
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title="NEET/JEE Quiz Generator API",
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description="RAG-powered MCQ generator for competitive exam prep",
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allow_headers=["*"],
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)
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# ββ Global quiz manager βββββββββββββββββββββββββββββββββββββββ
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quiz_manager = QuizManager()
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# ββ Pydantic models βββββββββββββββββββββββββββββββββββββββββββ
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class TextRequest(BaseModel):
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text: str = Field(..., min_length=100)
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subject: str = Field(...)
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model: str
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version: str
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# ββ API Endpoints βββββββββββββββββββββββββββββββββββββββββββββ
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@app.get("/api/health", response_model=HealthResponse)
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async def health():
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return HealthResponse(
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status="healthy",
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status_code=400,
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detail="Notes too short. Please provide more content."
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)
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session = quiz_manager.create_quiz(
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topic=req.topic,
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subject=req.subject,
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chapter=req.chapter,
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exam_type=req.exam_type,
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difficulty=req.difficulty,
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num_questions=req.num_questions
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)
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return QuizResponse(
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success=True,
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session_id=session.session_id,
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total_questions=session.total_questions,
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time_limit_minutes=session.time_limit_minutes,
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quiz=session.to_dict(),
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generated_in_seconds=round(time.time() - start, 2)
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)
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except HTTPException:
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raise
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except RuntimeError as e:
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)
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start = time.time()
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with tempfile.NamedTemporaryFile(
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suffix=".pdf", delete=False
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) as tmp:
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content = await file.read()
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tmp.write(content)
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tmp_path = tmp.name
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num_questions=num_questions
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)
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return QuizResponse(
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success=True,
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session_id=session.session_id,
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total_questions=session.total_questions,
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time_limit_minutes=session.time_limit_minutes,
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quiz=session.to_dict(),
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generated_in_seconds=round(time.time() - start, 2)
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)
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except Exception as e:
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raise HTTPException(
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if percentage >= 70: return "IIT eligible"
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if percentage >= 55: return "NIT Top-tier eligible"
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if percentage >= 40: return "NIT eligible"
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return "Below JEE cut-off range"
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# ββ Mount Gradio at root "/" ββββββββββββββββββββββββββββββββββ
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# API routes above still work at their paths
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# Gradio UI is served at "/"
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gradio_app = build_gradio_app()
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app = mount_gradio_app(
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app=app,
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blocks=gradio_app,
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path="/" # Gradio at root, API at /generate/... /score
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)
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