Update app.py

app.py

@@ -1,7 +1,18 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Custom background CSS with forced title styling
+# 💡 Dynamic prompt builder based on CEFR level
+def level_to_prompt(level):
+    return {
+        "A1": "You are a friendly French tutor. Speak mostly in English, use simple French, and explain everything.",
+        "A2": "You are a patient French tutor. Use short French phrases and explain them in English.",
+        "B1": "You are a helpful French tutor. Speak mostly in French but clarify in English when needed.",
+        "B2": "You are a French tutor. Speak primarily in French with rare English support.",
+        "C1": "You are a native French tutor. Speak entirely in French, clearly and professionally.",
+        "C2": "You are a native French professor. Speak in rich, complex French. Avoid English."
+    }.get(level, "You are a helpful French tutor.")
+
+# Custom background CSS
 css = """
 @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP&family=Playfair+Display&display=swap');
 
@@ -38,61 +49,34 @@ body {
   margin-bottom: 1.5rem !important;
   width: 100%;
 }
-
-/* Fallback font import */
-@import url('https://fonts.googleapis.com/css2?family=Playfair+Display:wght@700&display=swap');
 """
 
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+# Chat logic
 def respond(message, history, level, max_tokens, temperature, top_p):
     system_message = level_to_prompt(level)
-    ...
-
-    message,
-    history: list[tuple[str, str]]
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-
     messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
+    
+    for user, bot in history:
+        if user:
+            messages.append({"role": "user", "content": user})
+        if bot:
+            messages.append({"role": "assistant", "content": bot})
     messages.append({"role": "user", "content": message})
 
     response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
+    for msg in client.chat_completion(
+        messages, max_tokens=max_tokens, stream=True, temperature=temperature, top_p=top_p
     ):
-        token = message.choices[0].delta.content
+        token = msg.choices[0].delta.content
         response += token
         yield response
 
-def level_to_prompt(level):
-    mapping = {
-        "A1": "You are a friendly French tutor. Speak mostly in English, use simple French, and explain everything.",
-        "A2": "You are a patient French tutor. Use short French phrases, but explain them in English.",
-        "B1": "You are a helpful French tutor. Speak mostly in French with English explanations when needed.",
-        "B2": "You are a French tutor. Speak primarily in French. Use English only when absolutely necessary.",
-        "C1": "You are a native French tutor. Speak only in French, but be clear and articulate.",
-        "C2": "You are a native French professor. Speak in complex and natural French. Avoid English."
-    }
-    return mapping.get(level, mapping["A1"])  # Fallback to A1
-
+# UI layout
 with gr.Blocks(css=css) as demo:
     gr.Markdown("French Tutor", elem_id="custom-title")
-    
+
     with gr.Column(elem_id="chat-panel"):
         with gr.Accordion("⚙️ Advanced Settings", open=False):
             level = gr.Dropdown(
@@ -103,57 +87,12 @@ with gr.Blocks(css=css) as demo:
             max_tokens = gr.Slider(1, 2048, value=512, step=1, label="Response Length")
             temperature = gr.Slider(0.1, 4.0, value=0.7, step=0.1, label="Creativity")
             top_p = gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Dynamic Text")
-
+        
         gr.ChatInterface(
             fn=respond,
-            additional_inputs=[
-                level,  # replace system_message
-                max_tokens, temperature, top_p
-            ]
-        )
-
-
-with gr.Blocks(css=css) as demo:
-    # Title Markdown block
-    gr.Markdown("French Tutor", elem_id="custom-title")
-    
-    with gr.Accordion("⚙️ Advanced Settings", open=False):
-            level = gr.Dropdown(
-                choices=["A1", "A2", "B1", "B2", "C1", "C2"],
-                value="A1",
-                label="Your French Level (CEFR)"
-            )
-            max_tokens = gr.Slider(
-                minimum=1, 
-                maximum=2048, 
-                value=512, 
-                step=1, 
-                label="Response Length"
-            )
-            temperature = gr.Slider(
-                minimum=0.1, 
-                maximum=4.0, 
-                value=0.7, 
-                step=0.1, 
-                label="Creativity"
-            )
-            top_p = gr.Slider(
-                minimum=0.1, 
-                maximum=1.0, 
-                value=0.95, 
-                step=0.05, 
-                label="Dynamic Text"
-            )
-        
-            gr.ChatInterface(
-                respond,
-                additional_inputs=[
-                    level,  #Pass level now
-                    max_tokens, 
-                    temperature, 
-                    top_p
-            ]
+            additional_inputs=[level, max_tokens, temperature, top_p],
+            type="messages"  # ✅ prevents deprecation warning
         )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()