Update app.py

app.py

@@ -1,69 +1 @@
-import os
-import random
-from PIL import Image
-import gradio as gr
 
-# -------------------------------
-# Load ASL dataset
-# -------------------------------
-dataset_path = "asl_dataset"
-letter_image_map = {}
-
-for letter in sorted(os.listdir(dataset_path)):
-    letter_path = os.path.join(dataset_path, letter)
-    if os.path.isdir(letter_path):
-        imgs = [
-            os.path.join(letter_path, f)
-            for f in os.listdir(letter_path)
-            if f.lower().endswith((".png", ".jpg", ".jpeg"))
-        ]
-        if imgs:
-            letter_image_map[letter.upper()] = imgs
-
-print(f"Loaded letters: {list(letter_image_map.keys())}")
-
-# -------------------------------
-# Dummy recognizers
-# -------------------------------
-letters_cycle = iter(letter_image_map.keys())
-
-def next_letter(frame):
-    """Cycle through letters for practice."""
-    try:
-        letter = next(letters_cycle)
-    except StopIteration:
-        return "Done!", None
-    img_path = random.choice(letter_image_map[letter])
-    return f"Letter: {letter}", Image.open(img_path)
-
-def recognize_audio(audio_file):
-    """Dummy audio recognition."""
-    if audio_file is None:
-        return "Say a letter...", None
-    letter = random.choice(list(letter_image_map.keys()))
-    img_path = random.choice(letter_image_map[letter])
-    return f"You said: {letter}", Image.open(img_path)
-
-# -------------------------------
-# Gradio UI (v5 syntax)
-# -------------------------------
-with gr.Blocks() as demo:
-    gr.Markdown("# 🧠 Hands-Free ASL Helper — Webcam + Voice")
-
-    # Webcam section
-    gr.Markdown("## Webcam Practice (Auto-cycle)")
-    webcam = gr.Image(label="Camera Feed", type="pil")  # no 'source' in v5
-    webcam_status = gr.Textbox(label="Detected Letter", interactive=False)
-    webcam_output = gr.Image(label="ASL Sign")
-
-    # Update every 1s for auto-cycle
-    webcam.change(next_letter, inputs=webcam, outputs=[webcam_status, webcam_output])
-    
-    # Voice section
-    gr.Markdown("## Voice Detection (Say a letter)")
-    audio_input = gr.Audio(source="microphone", type="filepath", label="Speak a Letter")
-    audio_status = gr.Textbox(label="Spoken Letter", interactive=False)
-    audio_output = gr.Image(label="ASL Sign")
-    audio_input.change(recognize_audio, inputs=audio_input, outputs=[audio_status, audio_output])
-
-demo.launch()