| ---
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| title: EvalBot - Interview Analysis System
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| emoji: 🤖
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| colorFrom: blue
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| colorTo: green
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| sdk: docker
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| app_file: app.py
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| pinned: false
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| ---
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|
|
| # 🎤 EvalBot: Automated Interview Analysis System
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|
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| Welcome to EvalBot, your AI-powered solution for comprehensive interview analysis!
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|
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| EvalBot helps assess candidate performance in interviews by analyzing:
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| - **Voice Metrics:** Speaking rate, filler words, anxiety, confidence, and fluency.
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| - **Content Analysis:** Key themes, strengths, and areas for development in responses.
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| - **Speaker Identification:** Differentiating between interviewer and interviewee.
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| - **Acceptance Probability:** An estimated likelihood of acceptance based on key performance indicators.
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|
|
| ## Features:
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| - **Audio Analysis:** Provide audio file URLs (WAV, MP3, M4A, FLAC).
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| - **Detailed PDF Reports:** Get professional, structured reports with key insights and actionable recommendations.
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| - **REST API Access:** Integrate EvalBot's analysis capabilities into your own applications using a standard REST API.
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|
|
| ## How to Use the API:
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|
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| You can interact with the API using any standard HTTP client, like the `requests` library in Python.
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|
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| 1. **Prepare your request:** The API expects a `POST` request to the `/analyze` endpoint.
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|
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| 2. **Use the API to analyze audio (accepts multiple URLs with user IDs):**
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|
|
| ```python
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| import requests
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| import json
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|
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| # The URL of your new FastAPI Space
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| # Example: "[https://YourUsername-YourSpaceName.hf.space](https://YourUsername-YourSpaceName.hf.space)"
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| SPACE_URL = "[https://evalbot-evalbot-api.hf.space](https://evalbot-evalbot-api.hf.space)" # <--- UPDATE THIS WITH YOUR NEW SPACE URL
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| ANALYZE_ENDPOINT = f"{SPACE_URL}/analyze"
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|
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| # For private spaces, you would get a token and include it in the headers
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| # HEADERS = {"Authorization": "Bearer hf_..."}
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|
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| # List of audio items to analyze, each with a URL and a user_id
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| payload = {
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| "audio_items": [
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| {
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| "url": "[https://github.com/gradio-app/gradio/raw/main/test/test_files/audio_sample.wav](https://github.com/gradio-app/gradio/raw/main/test/test_files/audio_sample.wav)",
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| "user_id": "candidate-123"
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| },
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| {
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| "url": "[https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3](https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3)",
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| "user_id": "candidate-456"
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| }
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| ]
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| }
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|
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| try:
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| # Send the POST request
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| response = requests.post(ANALYZE_ENDPOINT, json=payload) #, headers=HEADERS) # Uncomment headers for private space
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| response.raise_for_status() # Raises an exception for bad status codes (4xx or 5xx)
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|
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| # Print the results
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| results = response.json()
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| print(json.dumps(results, indent=2))
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|
|
| except requests.exceptions.RequestException as e:
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| print(f"An error occurred while calling the API: {e}")
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|
|
| ``` |
