Create app.py

app.py

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+import gradio as gr
+
+# HR Interview Questions
+questions = [
+    "Tell me about yourself.",
+    "Why do you want to join our company?",
+    "What are your strengths?",
+    "What is your biggest weakness?",
+    "Where do you see yourself in 5 years?",
+    "Describe a challenging situation you faced and how you overcame it.",
+    "How do you handle pressure or stress?",
+    "Tell me about a time you worked in a team.",
+    "Why should we hire you?",
+    "Do you have any questions for us?"
+]
+
+# Soft Skills Keywords
+soft_skills = {
+    "Communication": ["communicate", "communication", "presented", "explained"],
+    "Leadership": ["lead", "led", "managed", "organized", "supervised"],
+    "Teamwork": ["team", "collaborated", "together", "group", "cooperate"],
+    "Problem-Solving": ["solve", "fixed", "handled", "resolved", "dealt"],
+    "Adaptability": ["adapt", "change", "adjust", "flexible"],
+    "Time Management": ["deadline", "time", "schedule", "prioritize"],
+    "Critical Thinking": ["analyze", "think", "evaluated", "decision"]
+}
+
+# Chat History State
+chat_history = []
+
+# Core Chatbot Logic
+def interview_bot(user_input, history):
+    if len(history) < len(questions):
+        current_question = questions[len(history)]
+        history.append((current_question, user_input))
+        detected_skills = []
+        for skill, keywords in soft_skills.items():
+            if any(keyword in user_input.lower() for keyword in keywords):
+                detected_skills.append(skill)
+        if detected_skills:
+            feedback = f"✅ You highlighted soft skills: {', '.join(detected_skills)}"
+        else:
+            feedback = "ℹ️ Try mentioning soft skills like teamwork, leadership, or problem-solving."
+        return history, f"{feedback}\n\n➡️ Next Question: {questions[len(history)]}" if len(history) < len(questions) else "🎯 You've completed the interview practice!"
+    else:
+        return history, "🎯 You've completed the interview practice!"
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    gr.Markdown("# 🤖 HR Interview Practice Chatbot")
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox(label="Your Answer")
+    state = gr.State([])
+    btn = gr.Button("Submit")
+    
+    def respond(user_message, chat_state):
+        response_state, bot_reply = interview_bot(user_message, chat_state)
+        chat_display = []
+        for q, a in response_state:
+            chat_display.append((f"💬 {q}", f"📝 {a}"))
+        chat_display.append(("🤖 Feedback", bot_reply))
+        return chat_display, response_state
+
+    btn.click(respond, [msg, state], [chatbot, state])
+    
+    gr.Markdown("👉 Practice your answers an