Update app.py

app.py

@@ -1,73 +1,24 @@
 import gradio as gr
-
-# Respond to user input
-def chatbot_response(user_input):
-    return f"🤖 Thanks! That’s a strong example of an interview response."
-
-# Show/hide the tip "pop-up"
-def show_tip():
-    return gr.update(visible=True)
-
-def hide_tip():
-    return gr.update(visible=False)
-
-with gr.Blocks(css="""
-.popup-box {
-    position: fixed;
-    top: 30%;
-    left: 50%;
-    transform: translate(-50%, -50%);
-    background-color: white;
-    border: 2px solid #333;
-    padding: 20px;
-    z-index: 999;
-    box-shadow: 0 0 10px rgba(0,0,0,0.3);
-    border-radius: 12px;
-}
-.overlay {
-    position: fixed;
-    top: 0;
-    left: 0;
-    width: 100%;
-    height: 100%;
-    background: rgba(0,0,0,0.4);
-    z-index: 998;
-}
-""") as demo:
-
-    gr.Markdown("## 🎤 Interview Chatbot")
-    gr.Markdown("Write your answer below or click an example:")
-
-    # User input and bot output
-    user_input = gr.Textbox(label="Your Answer", placeholder="Type your interview response here...")
-    submit_btn = gr.Button("Submit")
-    bot_output = gr.Textbox(label="Bot Reply")
-
-    # Example answers for interview questions
-    gr.Examples(
-        examples=[
-            ["I led a cross-functional team to deliver a project ahead of schedule."],
-            ["I handled a client complaint by staying calm and offering a solution."],
-            ["I used data to reduce delivery time by 15% on a logistics project."]
-        ],
-        inputs=user_input
-    )
-
-    # Submit logic
-    submit_btn.click(fn=chatbot_response, inputs=user_input, outputs=bot_output)
-
-    # Button to show interview tip
-    tip_button = gr.Button("💡 Show Interview Tip")
-
-    # Tip pop-up with overlay
-    with gr.Group(visible=False) as popup:
-        gr.HTML('<div class="overlay"></div>')
-        with gr.Column(elem_classes="popup-box"):
-            gr.Markdown("🧠 **Tip:** Use the **STAR method** — Situation, Task, Action, Result — to structure your answers.")
-            close_btn = gr.Button("❌ Close Tip")
-
-    # Show/hide logic
-    tip_button.click(fn=show_tip, outputs=popup)
-    close_btn.click(fn=hide_tip, outputs=popup)
-
-demo.launch()
+from huggingface_hub import InferenceClient
+
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") #change LLM
+
+def respond(message, history):
+    messages = [{"role": "system", "content": "You are a helpful chatbot."}]
+    if history:
+        messages.extend(history)
+    messages.append({"role": "user", "content": message})
+    
+    response = ""
+    for message in client.chat_completion(
+        messages,
+        max_tokens=100,
+        stream=True,
+        
+    ):
+        token = message.choices[0].delta.content
+        response += token
+        yield response
+
+chatbot = gr.ChatInterface(respond, type="messages")
+chatbot.launch()