| import gradio as gr |
| from openai import OpenAI |
| import time |
|
|
| def generate_questions(api_key, role, experience): |
| if not api_key: |
| return "[ERROR] Please enter your OpenRouter API key" |
| |
| client = OpenAI( |
| base_url="https://openrouter.ai/api/v1", |
| api_key=api_key, |
| ) |
| |
| try: |
| completion = client.chat.completions.create( |
| extra_headers={ |
| "HTTP-Referer": "http://localhost:7860", |
| "X-Title": "AI Mock Interview", |
| }, |
| model="deepseek/deepseek-v3-base:free", |
| messages=[ |
| { |
| "role": "system", |
| "content": "You are a professional interview coach. Generate relevant interview questions.", |
| }, |
| { |
| "role": "user", |
| "content": f"Act as an interviewer for a {role} position requiring {experience} experience. Generate 5 technical questions and 3 behavioral questions. Present them in a numbered list." |
| } |
| ] |
| ) |
| return completion.choices[0].message.content |
| except Exception as e: |
| return f"[ERROR] API call failed: {str(e)}" |
|
|
| def get_feedback(api_key, questions, answer): |
| if not api_key: |
| return "[ERROR] Please enter your OpenRouter API key" |
| |
| client = OpenAI( |
| base_url="https://openrouter.ai/api/v1", |
| api_key=api_key, |
| ) |
| |
| try: |
| completion = client.chat.completions.create( |
| extra_headers={ |
| "HTTP-Referer": "http://localhost:7860", |
| "X-Title": "AI Mock Interview", |
| }, |
| model="deepseek/deepseek-v3-base:free", |
| messages=[ |
| { |
| "role": "system", |
| "content": "You are an interview coach analyzing candidate responses.", |
| }, |
| { |
| "role": "user", |
| "content": f"Interview questions:\n{questions}\n\nCandidate answer:\n{answer}\n\nProvide constructive feedback focusing on: clarity, relevance, technical accuracy, and suggestions for improvement. Structure your feedback with clear sections." |
| } |
| ] |
| ) |
| return completion.choices[0].message.content |
| except Exception as e: |
| return f"[ERROR] API call failed: {str(e)}" |
|
|
| with gr.Blocks(theme=gr.themes.Soft()) as demo: |
| gr.Markdown("# AI Mock Interview Practice 🤖💼") |
| |
| with gr.Row(): |
| api_key = gr.Textbox( |
| label="OpenRouter API Key", |
| placeholder="Enter your API key here", |
| type="password" |
| ) |
| |
| with gr.Tab("Interview Setup"): |
| role = gr.Textbox(label="Desired Job Role") |
| experience = gr.Dropdown( |
| label="Experience Level", |
| choices=["Entry-level", "Mid-level", "Senior", "Executive"], |
| value="Mid-level" |
| ) |
| generate_btn = gr.Button("Generate Interview Questions") |
| |
| with gr.Tab("Practice Session"): |
| questions = gr.Textbox(label="Generated Questions", lines=10, interactive=False) |
| answer = gr.Textbox(label="Your Answer", lines=8, placeholder="Type your response here...") |
| feedback_btn = gr.Button("Get Feedback") |
| |
| with gr.Tab("Feedback"): |
| feedback = gr.Textbox(label="Expert Feedback", lines=12, interactive=False) |
| |
| |
| generate_btn.click( |
| fn=generate_questions, |
| inputs=[api_key, role, experience], |
| outputs=questions |
| ) |
| |
| feedback_btn.click( |
| fn=get_feedback, |
| inputs=[api_key, questions, answer], |
| outputs=feedback |
| ) |
|
|
| if __name__ == "__main__": |
| demo.launch() |
