Update app.py

app.py

@@ -1,11 +1,11 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")  # Use actual model
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 def set_type(choice, user_profile):
     user_profile["interview_type"] = choice.lower()
-    return "Great! What’s your background and what field/role are you aiming for?", user_profile
+    return f"Great! What’s your background and what field/role are you aiming for?", user_profile
 
 def save_background(info, user_profile):
     user_profile["field"] = info
@@ -28,7 +28,7 @@ def respond(message, history, user_profile):
     response = client.chat_completion(
         messages,
         max_tokens=150,
-        stream=False  # Make sure streaming is OFF
+        stream=False
     )
 
     return response.choices[0].message.content
@@ -38,7 +38,7 @@ with gr.Blocks() as demo:
     user_profile = gr.State({"interview_type": "", "field": ""})
 
     gr.Markdown("# 🎤 Welcome to Intervu")
-    
+
     # Step 1
     gr.Markdown("### Step 1: Choose Interview Type")
     with gr.Row():
@@ -47,26 +47,27 @@ with gr.Blocks() as demo:
         btn3 = gr.Button("College / Scholarship")
     type_out = gr.Textbox(label="Bot", interactive=False)
 
-    btn1.click(set_type, inputs=[gr.Textbox(value="Behavioral", visible=False), user_profile], outputs=[type_out, user_profile])
-    btn2.click(set_type, inputs=[gr.Textbox(value="Technical", visible=False), user_profile], outputs=[type_out, user_profile])
-    btn3.click(set_type, inputs=[gr.Textbox(value="College", visible=False), user_profile], outputs=[type_out, user_profile])
+    btn1.click(set_type, inputs=["Behavioral", user_profile], outputs=[type_out, user_profile])
+    btn2.click(set_type, inputs=["Technical", user_profile], outputs=[type_out, user_profile])
+    btn3.click(set_type, inputs=["College", user_profile], outputs=[type_out, user_profile])
 
     # Step 2
     gr.Markdown("### Step 2: Enter Your Background")
     background = gr.Textbox(label="Your background and field/goal")
-    background_btn = gr.Button("Submit")
+    background_btn = gr.Button("Submit Background")
     background_out = gr.Textbox(label="Bot", interactive=False)
 
     background_btn.click(save_background, inputs=[background, user_profile], outputs=[background_out, user_profile])
 
-    # Step 3: Interview
+    # Step 3
     gr.Markdown("### Step 3: Start Interview")
     chatbot = gr.ChatInterface(
-    lambda msg, hist: respond(msg, hist, user_profile.value),
-    title="Intervu - AI Interview Practice",
-    type="messages"  # Important to fix the warning
-)
-
+        fn=lambda msg, hist: respond(msg, hist, user_profile.value),
+        title="Intervu - AI Interview Practice",
+        chatbot=gr.Chatbot(label="Interview Bot"),
+        input_textbox=gr.Textbox(placeholder="Type your answer here..."),
+        type="messages"
+    )
 
 demo.launch()