Update app.py

app.py

@@ -52,7 +52,7 @@ def analyze_url(video_url):
         transcript = result["text"]
 
         # 4. LLM analysis
-        api_key = "d2eac592fd335c7fd047814946f55e0c6fc26dbf75d88b0d9eb2be4a52108ea5"
+        api_key = os.getenv('API_KEY')
         client = Together(api_key=api_key)
         prompt = f"""
 You are an English-speaking coach. Given this transcript of a spoken English audio with an {accent} accent and classification confidence {conf_pct}%:
@@ -62,6 +62,7 @@ Evaluate how confident the speaker sounds based on fluency, clarity, filler usag
 Provide:
 - A proficiency score between 0 and 100
 - A brief explanation
+- Don't Write Anything in Bold
 """
         resp = client.chat.completions.create(
             model="meta-llama/Llama-3.3-70B-Instruct-Turbo-Free",
@@ -79,16 +80,16 @@ Provide:
         return "Error", "", "", str(e)
 
 # Build Gradio interface
-with gr.Blocks(title="English Accent & Confidence Analyzer") as demo:
-    gr.Markdown("## 🎙️ English Accent Detection & Confidence Analysis")
+with gr.Blocks(title="English Accent & Proficiency Analyzer") as demo:
+    gr.Markdown("## 🎙️ English Accent Detection & Proficiency Analysis")
     with gr.Row():
         inp = gr.Textbox(label="Direct MP4 Video URL", placeholder="https://...")
         run = gr.Button("Analyze")
     with gr.Row():
         out1 = gr.Textbox(label="Detected Accent")
-        out2 = gr.Textbox(label="Accent Confidence")
+        out2 = gr.Textbox(label="Accent Classification Confidence Score")
     out3 = gr.Textbox(label="Transcript", lines=5)
-    out4 = gr.Textbox(label="LLM Confidence Analysis", lines=10)
+    out4 = gr.Textbox(label="Proficiency Analysis", lines=10)
 
     run.click(
         fn=analyze_url,