fastapi hf v0

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be added to the global gitignore or merged into this project gitignore.  For a PyCharm
+#  project, it is recommended to include the following files:
+#  .idea/
+#  *.iml
+#  *.ipr
+#  *.iws
+.idea/
+*.iml
+*.ipr
+*.iws
+
+# VS Code
+.vscode/
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+!.vscode/*.code-snippets
+
+# Local History for Visual Studio Code
+.history/
+
+# Built Visual Studio Code Extensions
+*.vsix
+
+# Audio files generated by the app
+app/static/audio/*.mp3
+app/static/audio/*.wav
+app/static/audio/*.ogg
+
+# Database files
+*.db
+*.sqlite
+*.sqlite3
+
+# Logs
+*.log
+logs/
+
+# OS generated files
+.DS_Store
+.DS_Store?
+._*
+.Spotlight-V100
+.Trashes
+ehthumbs.db
+Thumbs.db
+
+# Temporary files
+*.tmp
+*.temp
+*~
+
+# Node modules (if you add a frontend later)
+node_modules/
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# Package files
+*.tgz
+*.tar.gz
+
+# Runtime data
+pids
+*.pid
+*.seed
+*.pid.lock
+
+# Coverage directory used by tools like istanbul
+coverage/
+*.lcov
+
+# nyc test coverage
+.nyc_output
+
+# Dependency directories
+jspm_packages/
+
+# Optional npm cache directory
+.npm
+
+# Optional eslint cache
+.eslintcache
+
+# Output of 'npm pack'
+*.tgz
+
+# Yarn Integrity file
+.yarn-integrity
+
+# dotenv environment variables file
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+# Next.js build output
+.next
+
+# Nuxt.js build / generate output
+.nuxt
+dist
+
+# Gatsby files
+.cache/
+public
+
+# Storybook build outputs
+.out
+.storybook-out
+
+# Temporary folders
+tmp/
+temp/

Dockerfile

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+# Use Python 3.12 slim image
+FROM python:3.12-slim
+
+# Set working directory0.0.0", "--port", "8000"]
+
+WORKDIR /app
+
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+# Install system dependencies
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends \
+        gcc \
+        g++ \
+        ffmpeg \
+        curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip \
+    && pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Create static audio directory
+RUN mkdir -p app/static/audio
+
+# Create non-root user for security
+RUN adduser --disabled-password --gecos '' appuser \
+    && chown -R appuser:appuser /app
+USER appuser
+
+# Expose port
+EXPOSE 8000
+
+# Run the application
+CMD ["uvicorn", "app.main:app", "--host", "0.

app/core/config.py

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+from pydantic_settings import BaseSettings
+
+
+class Settings(BaseSettings):
+    GROQ_API_KEY: str
+    DATABASE_URL: str = "sqlite:///./brain_platform.db"
+
+    class Config:
+        env_file = ".env"
+        extra = "ignore"
+
+
+settings = Settings()

app/core/llm.py

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+from langchain_groq import ChatGroq
+from app.core.config import settings
+
+llm = ChatGroq(
+    model="llama-3.1-8b-instant",
+    temperature=0.3,
+    api_key=settings.GROQ_API_KEY
+)

app/main.py

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+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+
+from app.routers import chat, quiz, audio
+
+app = FastAPI(title="Brain API MVP")
+
+app.mount("/static", StaticFiles(directory="app/static"), name="static")
+
+app.include_router(chat.router)
+app.include_router(quiz.router)
+app.include_router(audio.router)

app/prompts/course_prompt.py

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+COURSE_TEMPLATE = """
+You are a friendly AI tutor.
+
+Generate a {length} course about {topic} for the {sector} sector.
+
+Tone: {tone}
+Style: {style}
+
+Rules:
+- Use simple explanations
+- Avoid jargon if requested
+- Give practical examples
+- Keep it clear and beginner friendly
+
+Return only the course content.
+"""

app/prompts/quiz_prompt.py

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+QUIZ_TEMPLATE = """
+Based on this course, generate 5 MCQ questions.
+
+Course:
+{course}
+
+Return STRICT JSON:
+
+[
+ {{
+   "question": "...",
+   "options": ["A","B","C","D"],
+   "answer": 0
+ }}
+]
+"""

app/routers/audio.py

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+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel, Field
+from app.services.audio_service import text_to_audio
+
+router = APIRouter(prefix="/audio", tags=["Audio"])
+
+
+class AudioRequest(BaseModel):
+    text: str = Field(..., description="Text to convert to audio")
+
+
+@router.post("/generate")
+def generate_audio(req: AudioRequest):
+    try:
+        audio_url = text_to_audio(req.text)
+        return {
+            "audio_url": audio_url,
+            "message": "Audio generated successfully"
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Audio generation failed: {str(e)}")

app/routers/chat.py

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+from fastapi import APIRouter
+from app.schemas.chat import LearnRequest
+from app.services.learning_agent import generate_course_and_quiz
+from app.services.audio_service import text_to_audio
+
+router = APIRouter(prefix="/chat", tags=["Learning"])
+
+
+@router.post("/learn")
+def learn(req: LearnRequest):
+
+    course, quiz = generate_course_and_quiz(req.dict())
+
+    audio_url = text_to_audio(course)
+
+    return {
+        "course": course,
+        "quiz": quiz,
+        "audio_url": audio_url
+    }

app/routers/quiz.py

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+from fastapi import APIRouter
+from app.schemas.quiz import QuizEvaluation
+from app.services.quiz_service import evaluate_quiz
+
+router = APIRouter(prefix="/quiz", tags=["Quiz"])
+
+
+@router.post("/evaluate")
+def evaluate(req: QuizEvaluation):
+
+    score, feedback = evaluate_quiz(req.quiz, req.answers)
+
+    return {
+        "score": score,
+        "feedback": feedback
+    }

app/schemas/chat.py

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+from pydantic import BaseModel, Field
+
+
+class LearnRequest(BaseModel):
+    topic: str = Field(..., description="The topic to learn about")
+    sector: str = Field(..., description="The target sector (e.g., finance, tech, healthcare)")
+    tone: str = Field(..., description="The tone of the content (e.g., friendly, formal, casual)")
+    style: str = Field(..., description="The style of explanation (e.g., simple, detailed, technical)")
+    length: str = Field(..., description="Length of the course (short or full)")

app/schemas/quiz.py

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+from pydantic import BaseModel
+from typing import List, Dict
+
+
+class QuizEvaluation(BaseModel):
+    quiz: List[Dict]
+    answers: List[int]

app/services/audio_service.py

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+from gtts import gTTS
+import uuid
+import os
+
+AUDIO_FOLDER = "app/static/audio"
+
+
+def text_to_audio(text: str):
+
+    filename = f"{uuid.uuid4()}.mp3"
+    filepath = os.path.join(AUDIO_FOLDER, filename)
+
+    tts = gTTS(text=text, lang="en")
+    tts.save(filepath)
+
+    return f"/static/audio/{filename}"

app/services/learning_agent.py

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+from langchain_core.prompts import PromptTemplate
+from app.core.llm import llm
+from app.prompts.course_prompt import COURSE_TEMPLATE
+from app.prompts.quiz_prompt import QUIZ_TEMPLATE
+import json
+import re
+
+
+def generate_course_and_quiz(params):
+
+    course_prompt = PromptTemplate.from_template(COURSE_TEMPLATE)
+
+    course = llm.invoke(
+        course_prompt.format(**params)
+    ).content
+
+    quiz_prompt = PromptTemplate.from_template(QUIZ_TEMPLATE)
+
+    quiz_raw = llm.invoke(
+        quiz_prompt.format(course=course)
+    ).content
+
+    # Extract JSON from response
+    json_match = re.search(r'\[.*\]', quiz_raw, re.DOTALL)
+    if json_match:
+        quiz_json = json_match.group(0)
+        quiz = json.loads(quiz_json)
+    else:
+        # Fallback quiz if JSON parsing fails
+        quiz = [
+            {
+                "question": "What is the main topic of this course?",
+                "options": ["Option A", "Option B", "Option C", "Option D"],
+                "answer": 0
+            }
+        ]
+
+    return course, quiz

app/services/quiz_service.py

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+def evaluate_quiz(quiz, answers):
+
+    score = 0
+    feedback = []
+
+    for q, a in zip(quiz, answers):
+        # Handle both 'answer' and 'correct_answer' keys
+        correct_answer = q.get("answer") or q.get("correct_answer", 0)
+        
+        if a == correct_answer:
+            score += 1
+        else:
+            feedback.append(f"Review this question: {q.get('question', 'Unknown question')}")
+
+    if len(quiz) > 0:
+        percent = int(score / len(quiz) * 100)
+    else:
+        percent = 0
+
+    return percent, feedback

requirements.txt

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+fastapi==0.104.1
+uvicorn[standard]==0.24.0
+python-dotenv==1.0.0
+pydantic==2.5.0
+sqlalchemy==2.0.23
+asyncpg==0.29.0
+alembic==1.13.0
+redis==5.0.1
+openai==1.3.7
+langchain==0.0.350
+langchain-groq==0.0.1
+langchain-community==0.4.1
+crewai==0.1.4
+crewai-tools==0.2.0
+python-jose[cryptography]==3.3.0
+passlib[bcrypt]==1.7.4
+python-multipart==0.0.6
+httpx==0.25.2
+pandas==2.1.4
+numpy==1.25.2
+pytest==7.4.3
+pytest-asyncio==0.21.1
+gtts==2.4.0