Update README.md

README.md

@@ -1,93 +1,41 @@
 ---
-title: Smart Interview Simulator
-emoji: 🎤
+title: AI Interview Simulator
+emoji: 🤖
 colorFrom: blue
-colorTo: purple
+colorTo: indigo
 sdk: gradio
-sdk_version: 6.5.1
-python_version: '3.10'
+sdk_version: 5.0.0
 app_file: app.py
 pinned: false
+license: mit
+short_description: Practice technical interviews with AI-generated feedback.
 ---
 
-# 🎤 Smart Interview Simulator (AI Voice Bot)
+# 🤖 Smart Interview Simulator
 
-An AI-powered voice-based mock interview platform built using Speech Recognition and Large Language Models.
-
-This project allows users to simulate a technical interview by answering questions using voice input and receiving structured AI-generated evaluation and feedback.
-
----
+An AI-powered interview practice tool that generates role-specific technical questions and provides constructive feedback and scoring.
 
 ## 🚀 Features
-
-- 🎙 Voice-based answer submission
-- 🧠 Speech-to-Text using Whisper
-- 🤖 AI answer evaluation using Mistral-7B-Instruct via Hugging Face Inference API
-- 📊 Structured scoring:
-  - Technical Accuracy
-  - Clarity
-  - Depth
-  - Overall Score
-- 🎯 Difficulty levels (Easy / Medium / Hard)
-
----
-
-## 🏗️ System Architecture
-
-User Voice Input  
-↓  
-Speech Recognition (Whisper)  
-↓  
-Answer Transcription  
-↓  
-Prompt Engineering  
-↓  
-LLM Evaluation  
-↓  
-Structured Feedback & Score  
-
----
-
-## 🛠️ Tech Stack
-
-- Python
-- Gradio
-- Transformers
-- Hugging Face Inference API
-- Whisper (Speech Recognition Model)
-- Mistral-7B-Instruct (Large Language Model)
-
----
-
-## 📊 Evaluation Criteria
-
-The AI evaluates answers based on:
-
-- Technical Accuracy (0–10)
-- Clarity (0–10)
-- Depth (0–10)
-- Overall Score (0–10)
-- Improvement Suggestions
-
----
-
-## 🔮 Future Improvements
-
-- 📈 Performance analytics dashboard
-- 💾 Interview history tracking
-- 📄 PDF performance reports
-- 🎙 Emotion detection from voice
-- 🔄 Follow-up question generation
-- 🧑‍💻 Coding interview simulation
-
----
-
-## 🏆 Resume Description
-
-Developed a Voice-Based AI Interview Simulator using Whisper for speech recognition and Mistral-7B via Hugging Face Inference API for intelligent technical answer evaluation and structured scoring.
-
----
-
-## 📜 License
-
-This project is intended for educational and research purposes.
+- **Role-Based Questions:** Enter any job title (e.g., "Data Scientist", "Frontend Engineer") to get relevant questions.
+- **Difficulty Settings:** Choose between Easy, Medium, and Hard levels.
+- **Resume Integration:** Paste your skills to receive personalized questions based on your experience.
+- **AI Feedback:** Get a detailed evaluation of your answer and a score out of 10.
+- **Fast Performance:** Uses Hugging Face's new Inference Router for quick responses.
+
+## 🛠️ Setup & Requirements
+
+### 1. Secrets Configuration
+This Space requires a Hugging Face User Access Token to communicate with the AI model. 
+1. Go to your **Space Settings**.
+2. Scroll to **Variables and Secrets**.
+3. Create a **New Secret**:
+   - **Key:** `HF_TOKEN`
+   - **Value:** [Your Hugging Face Token]
+
+### 2. Local Installation (Optional)
+If you want to run this locally:
+```bash
+git clone [https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME](https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME)
+cd YOUR_SPACE_NAME
+pip install -r requirements.txt
+python app.py