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---
title: EvalBot - Interview Analysis System
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: docker
app_file: app.py
pinned: false
---
# 🎤 EvalBot: Automated Interview Analysis System
Welcome to EvalBot, your AI-powered solution for comprehensive interview analysis!
EvalBot helps assess candidate performance in interviews by analyzing:
- **Voice Metrics:** Speaking rate, filler words, anxiety, confidence, and fluency.
- **Content Analysis:** Key themes, strengths, and areas for development in responses.
- **Speaker Identification:** Differentiating between interviewer and interviewee.
- **Acceptance Probability:** An estimated likelihood of acceptance based on key performance indicators.
## Features:
- **Audio Analysis:** Upload audio files (WAV, MP3, M4A, FLAC) or provide URLs.
- **Detailed PDF Reports:** Get professional, structured reports with key insights and actionable recommendations.
- **API Access:** Integrate EvalBot's analysis capabilities into your own applications.
## How to Use the API:
You can interact with EvalBot's API using the `gradio_client` library in Python.
1. **Install the client:**
```bash
pip install gradio_client
```
2. **Use the API to analyze audio (accepts multiple URLs):**
```python
from gradio_client import Client, handle_file
import os
# Replace with your actual Space URL (e.g., [https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME](https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME))
SPACE_URL = "[https://huggingface.co/spaces/norhan12/YOUR_NEW_SPACE_NAME](https://huggingface.co/spaces/norhan12/YOUR_NEW_SPACE_NAME)" # REMEMBER TO UPDATE THIS
# Ensure your Hugging Face Access Token is set as an environment variable (for private spaces)
# HF_ACCESS_TOKEN = os.getenv("HF_TOKEN")
client = Client(SPACE_URL) # , hf_token=HF_ACCESS_TOKEN # Uncomment if your space is private
# List of audio URLs to analyze
audio_interview_urls = [
"[https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3](https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3)",
"[https://www.soundhelix.com/examples/mp3/SoundHelix-Song-2.mp3](https://www.soundhelix.com/examples/mp3/SoundHelix-Song-2.mp3)",
# Add more URLs as needed
]
try:
result = client.predict(
file=handle_file(audio_interview_urls),
api_name="/analyze_multiple_audios" # Ensure this matches your function name in app.py
)
print("Combined Analysis Summary:", result[0])
print("Detailed Analysis (JSON Array):", result[1])
print("Downloadable PDF Paths:", result[2])
except Exception as e:
print(f"An error occurred while calling the API: {e}")
```
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |