Update app.py

app.py

@@ -1,51 +1,29 @@
 import os
 import openai
 import gradio as gr
-from fastapi import FastAPI, Request
-from fastapi.middleware.cors import CORSMiddleware
-from gradio.routes import mount_gradio_app
 
-# Load OpenAI API Key from Hugging Face Secrets
 openai.api_key = os.getenv("OPENAI_API_KEY")
 
-# Initialize FastAPI app
-app = FastAPI()
-
-# CORS for browser requests
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
+def chat_with_gpt4o(message):
+    if not message:
+        return "Please say something."
+    
+    response = openai.ChatCompletion.create(
+        model="gpt-4o",
+        messages=[
+            {"role": "system", "content": "You are a smart, friendly AI interviewer. Ask one question at a time."},
+            {"role": "user", "content": message}
+        ]
+    )
+    return response.choices[0].message["content"]
+
+iface = gr.Interface(
+    fn=chat_with_gpt4o,
+    inputs=gr.Textbox(placeholder="Say something..."),
+    outputs=gr.Textbox(label="AI Interviewer Response"),
+    title="🎤 AI Interview Bot",
+    description="Talk to a GPT-4o powered AI Interviewer. One-on-one style."
 )
 
-# Route to handle GPT-4o Interview Q&A
-@app.post("/ask")
-async def ask_question(request: Request):
-    payload = await request.json()
-    user_input = payload.get("message", "")
-
-    if not user_input:
-        return {"response": "Please say something."}
-
-    try:
-        response = openai.ChatCompletion.create(
-            model="gpt-4o",
-            messages=[
-                {"role": "system", "content": "You are a smart, friendly AI interviewer. Ask one question at a time."},
-                {"role": "user", "content": user_input}
-            ]
-        )
-        reply = response.choices[0].message["content"]
-        return {"response": reply}
-    except Exception as e:
-        return {"response": f"Error: {str(e)}"}
-
-# Serve the frontend HTML using Gradio (just wraps index.html)
-def render_ui():
-    with open("index.html", "r") as f:
-        return f.read()
-
-gradio_ui = gr.Interface(fn=render_ui, inputs=[], outputs="html")
-app = mount_gradio_app(app, gradio_ui, path="/")
+if __name__ == "__main__":
+    iface.launch()