Create app.py

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+
+def set_type(choice, user_profile):
+    user_profile["interview_type"] = choice
+    return "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
+    return "Awesome! Type 'start' below to begin your interview.", user_profile
+
+def respond(message, chat_history, user_profile):
+    if not user_profile.get("interview_type") or not user_profile.get("field"):
+        bot_msg = "Please finish steps 1 and 2 before starting the interview."
+        chat_history.append((message, bot_msg))
+        return chat_history
+
+    messages = [
+        {"role": "system", "content": f"You are a professional interviewer conducting a {user_profile['interview_type']} interview for a candidate in the {user_profile['field']} field."}
+    ]
+    for q, a in chat_history:
+        messages.append({"role": "user", "content": q})
+        messages.append({"role": "assistant", "content": a})
+    messages.append({"role": "user", "content": message})
+
+    response = client.chat_completion(messages, max_tokens=150, stream=False)
+    bot_msg = response.choices[0].message.content
+    chat_history.append((message, bot_msg))
+    return chat_history
+
+with gr.Blocks() as demo:
+    user_profile = gr.State({"interview_type": "", "field": ""})
+    chat_history = gr.State([])
+
+    gr.Markdown("# 🎤 Welcome to Intervu")
+
+    # Step 1
+    gr.Markdown("### Step 1: Choose Interview Type")
+    with gr.Row():
+        with gr.Column():
+            btn1 = gr.Button("Behavioral")
+            btn2 = gr.Button("Technical")
+            btn3 = gr.Button("College / Scholarship")
+        type_output = gr.Textbox(label="Bot response", interactive=False)
+
+    btn1.click(set_type, inputs=[gr.Textbox(value="Behavioral", visible=False), user_profile], outputs=[type_output, user_profile])
+    btn2.click(set_type, inputs=[gr.Textbox(value="Technical", visible=False), user_profile], outputs=[type_output, user_profile])
+    btn3.click(set_type, inputs=[gr.Textbox(value="College", visible=False), user_profile], outputs=[type_output, 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_output = gr.Textbox(label="Bot response", interactive=False)
+
+    background_btn.click(save_background, inputs=[background, user_profile], outputs=[background_output, user_profile])
+
+    # Step 3
+    gr.Markdown("### Step 3: Start Interview")
+    chatbot = gr.Chatbot(label="Interview Bot")
+    msg = gr.Textbox(label="Your message")
+    send_btn = gr.Button("Send")
+
+    send_btn.click(respond, inputs=[msg, chat_history, user_profile], outputs=[chatbot], queue=False)
+    send_btn.click(lambda: "", None, msg, queue=False)
+
+demo.launch()