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| import gradio as gr | |
| import requests | |
| import time # For simulating a loading effect | |
| # API Endpoints | |
| LOGIN_URL = "http://127.0.0.1:8000/auth/v1/login" | |
| COURSE_API_URL = "http://127.0.0.1:8000/ai_course/v1/generate-course/" | |
| # Hardcoded user credentials (Ideally, this should be entered dynamically) | |
| USERNAME = "aankitroy1990@gmail.com" | |
| PASSWORD = "xyzpassword" | |
| # Function to authenticate and get access token | |
| def get_access_token(): | |
| try: | |
| response = requests.post( | |
| LOGIN_URL, | |
| data={ | |
| "grant_type": "password", | |
| "username": USERNAME, | |
| "password": PASSWORD, | |
| "scope": "", | |
| "client_id": "string", | |
| "client_secret": "string", | |
| }, | |
| headers={"Content-Type": "application/x-www-form-urlencoded"}, | |
| ) | |
| response_data = response.json() | |
| if "access_token" in response_data: | |
| return response_data["access_token"] | |
| else: | |
| return None | |
| except Exception as e: | |
| return print(f"Failed to get access token: {str(e)}") | |
| # Function to fetch course details with loading effect | |
| def get_course(course_name, goal, course_type, proficiency, difficulty): | |
| yield "**Generating course... Please wait.** ⏳" # Show loading message | |
| access_token = get_access_token() | |
| if not access_token: | |
| yield "**❌ Authentication failed. Please check credentials.**" | |
| return | |
| headers = {"Authorization": f"Bearer {access_token}"} | |
| payload = { | |
| "course_name": course_name, | |
| "goal": goal, | |
| "course_type": course_type, | |
| "proficiency": proficiency, | |
| "difficulty": difficulty, | |
| } | |
| try: | |
| response = requests.post(COURSE_API_URL, json=payload, headers=headers) | |
| response_data = response.json() | |
| if "course_content" in response_data: | |
| yield response_data["course_content"] # Final response | |
| else: | |
| yield "**⚠️ Error: Unexpected response from server.**" | |
| except Exception as e: | |
| yield f"**❌ Failed to parse response: {str(e)}**" | |
| # Gradio Interface | |
| iface = gr.Interface( | |
| fn=get_course, | |
| inputs=[ | |
| gr.Textbox(label="Course Name"), | |
| gr.Textbox(label="Goal/Target"), | |
| gr.Radio(["Micro", "Full"], label="Course Type"), | |
| gr.Radio(["Beginner", "Intermediate", "Advanced"], label="Proficiency"), | |
| gr.Radio(["Easy", "Medium", "Hard"], label="Difficulty"), | |
| ], | |
| outputs=gr.Markdown(label="Generated Course"), | |
| title="AI Course Generator", | |
| description="Create structured courses with AI.", | |
| ) | |
| # Launch with sharing enabled | |
| iface.launch(share=True) | |