Update app.py

app.py

@@ -1,24 +1,133 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
+# import gradio as gr
+# from huggingface_hub import InferenceClient
 
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") #change LLM
+# client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") #change LLM
 
-def respond(message, history):
-    messages = [{"role": "system", "content": "You are a professional Interviewer and you are asking questions based on interview choices"}]
-    if history:
-        messages.extend(history)
-    messages.append({"role": "user", "content": message})
+# def respond(message, history):
+#     messages = [{"role": "system", "content": "You are a professional Interviewer and you are asking questions based on interview choices"}]
+#     if history:
+#         messages.extend(history)
+#     messages.append({"role": "user", "content": message})
     
-    response = ""
-    for message in client.chat_completion(
-        messages,
-        max_tokens=100,
-        stream=True,
+#     response = ""
+#     for message in client.chat_completion(
+#         messages,
+#         max_tokens=100,
+#         stream=True,
         
-    ):
-        token = message.choices[0].delta.content
-        response += token
-        yield response
+#     ):
+#         token = message.choices[0].delta.content
+#         response += token
+#         yield response
+
+# chatbot = gr.ChatInterface(respond, type="messages")
+# chatbot.launch() 
+import gradio as gr
+
+# In-memory user profile
+user_profile = {
+    "interview_type": "",
+    "field": "",
+    "mode": "",
+    "responses": []
+}
+
+# Question bank
+questions = {
+    "technical": {
+        "software": [
+            "Can you explain a recent project where you solved a technical challenge?",
+            "How would you optimize a slow-running algorithm?"
+        ],
+        "general": [
+            "Explain Big O Notation.",
+            "What’s a common bug and how do you fix it?"
+        ]
+    },
+    "behavioral": {
+        "general": [
+            "Tell me about a time you had to overcome a challenge.",
+            "How do you handle feedback?"
+        ]
+    },
+    "college": {
+        "general": [
+            "Why do you want to attend this school?",
+            "What extracurricular activity means the most to you and why?"
+        ]
+    }
+}
+
+# Phase 1: Choose interview type
+def set_type(choice):
+    user_profile["interview_type"] = choice.lower()
+    return "Great! What’s your background and what field/role are you aiming for?"
+
+# Phase 2: Save background
+def save_background(info):
+    user_profile["field"] = info
+    return "Would you like to continue with Text, Audio, or Webcam interview?"
+
+# Phase 3: Set mode
+def set_mode(choice):
+    user_profile["mode"] = choice.lower()
+    return f"Starting {choice} interview... Type 'done' anytime to finish."
+
+# Phase 4: Ask question
+def start_interview(user_input):
+    if user_input.lower() == "done":
+        return "Interview finished! We'll provide feedback shortly."
+
+    user_profile["responses"].append(user_input)
+
+    itype = user_profile["interview_type"]
+    field = user_profile["field"].lower()
+
+    field_key = "software" if "software" in field else "general"
+    question_list = questions.get(itype, {}).get(field_key, [])
+
+    if len(user_profile["responses"]) < len(question_list):
+        return question_list[len(user_profile["responses"])]
+    else:
+        return "Thank you! You've completed all questions. Type 'done' to finish."
+
+# UI construction
+with gr.Blocks() as demo:
+    gr.Markdown("# 🎤 Welcome to Intervu")
+
+    with gr.Row():
+        gr.Markdown("## Step 1: Choose Interview Type")
+        type_out = gr.Textbox(label="Bot Response")
+
+    with gr.Row():
+        btn1 = gr.Button("Behavioral")
+        btn2 = gr.Button("Technical")
+        btn3 = gr.Button("College / Scholarship")
+
+    btn1.click(set_type, inputs=[], outputs=type_out, _js="() => 'Behavioral'")
+    btn2.click(set_type, inputs=[], outputs=type_out, _js="() => 'Technical'")
+    btn3.click(set_type, inputs=[], outputs=type_out, _js="() => 'College'")
+
+    gr.Markdown("## Step 2: Enter Background")
+    background = gr.Textbox(label="Your background + field/goal")
+    background_btn = gr.Button("Submit Background")
+    mode_out = gr.Textbox(label="Bot Response")
+
+    background_btn.click(save_background, inputs=background, outputs=mode_out)
+
+    gr.Markdown("## Step 3: Choose Mode")
+    btn_text = gr.Button("Text")
+    btn_audio = gr.Button("Audio (WIP)")
+    btn_webcam = gr.Button("Webcam (WIP)")
+    mode_feedback = gr.Textbox(label="Bot Response")
+
+    btn_text.click(set_mode, inputs=[], outputs=mode_feedback, _js="() => 'Text'")
+    btn_audio.click(set_mode, inputs=[], outputs=mode_feedback, _js="() => 'Audio'")
+    btn_webcam.click(set_mode, inputs=[], outputs=mode_feedback, _js="() => 'Webcam'")
+
+    gr.Markdown("## Step 4: Text Interview")
+    user_input = gr.Textbox(label="Your Response")
+    bot_reply = gr.Textbox(label="Bot Question")
+    user_input.submit(start_interview, inputs=user_input, outputs=bot_reply)
 
-chatbot = gr.ChatInterface(respond, type="messages")
-chatbot.launch() 
+demo.launch()