Fix: Event context and re-enable premium Gradio 4.x theme

README.md

@@ -16,7 +16,7 @@ tags:
 datasets:
 - c3rl/IIIT-INDIC-HW-WORDS-Hindi
 sdk: gradio
-sdk_version: 3.50.2
+sdk_version: "4.44.1"
 python_version: "3.10"
 app_file: app.py
 pinned: true

app.py

@@ -11,6 +11,17 @@ from transformers import TrOCRProcessor, VisionEncoderDecoderModel
 from cnn_model import CharacterClassifier
 from preprocessing import preprocess_for_ocr
 
+# --- SURGICAL MONKEY-PATCH FOR GRADIO 4.x ---
+try:
+    import gradio_client.utils
+    original_fn = gradio_client.utils.json_schema_to_python_type
+    def patched_fn(schema, *args, **kwargs):
+        if isinstance(schema, bool): return "Any"
+        return original_fn(schema, *args, **kwargs)
+    gradio_client.utils.json_schema_to_python_type = patched_fn
+except Exception: pass
+# --------------------------------------------
+
 # --- CONFIGURATION ---
 BASE_MODEL_ID = "paudelanil/trocr-devanagari-2"
 ADAPTER_ID = "manishw10/devgen-trocr-devanagari-lora"
@@ -19,7 +30,7 @@ CNN_MODEL_PATH = "devanagari-cnn-classifier.pt"
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 # --- ENGINE CORE ---
-print("System: Initializing Full Suite with Confidence and Visual Debug...")
+print("System: Initializing Full Suite (Gradio 4.x Patched)...")
 processor = TrOCRProcessor.from_pretrained(BASE_MODEL_ID)
 base_model = VisionEncoderDecoderModel.from_pretrained(BASE_MODEL_ID)
 
@@ -74,7 +85,6 @@ def original_classify_input(image):
     y0, x0 = coords.min(axis=0); y1, x1 = coords.max(axis=0)
     w, h = x1-x0+1, y1-y0+1
     ar, bc = w/h, count_blobs(binary, min_size=max(binary.size * 0.001, 10))
-    
     is_char = True
     if ar > 2.5: is_char = False
     elif ar > 1.8 and bc >= 3: is_char = False
@@ -106,15 +116,13 @@ def get_confidence_html(confidence):
 # --- PREDICT ---
 def predict(image, manual_mode):
     if image is None: return None, None, "Upload image.", "", ""
-    buf = io.BytesIO()
-    image.save(buf, format="PNG")
+    buf = io.BytesIO(); image.save(buf, format="PNG")
     preprocessed_pil = preprocess_for_ocr(buf.getvalue())
     if manual_mode == "Automatic":
         mode, ar, bc = original_classify_input(preprocessed_pil)
         status = f"**System Insight**: {mode.upper()} detected (AR: {ar:.2f}, Blobs: {bc})"
     else:
         mode = manual_mode.lower(); status = f"**Manual Mode**: {mode.upper()}"
-    
     try:
         if mode == "character" and cnn_engine.available:
             result = cnn_engine.predict(preprocessed_pil)
@@ -134,7 +142,7 @@ def predict(image, manual_mode):
 CSS = """
 @import url('https://fonts.googleapis.com/css2?family=Outfit:wght@400;600&family=Inter:wght@400;500&display=swap');
 .gradio-container { background: linear-gradient(135deg, #0f172a 0%, #1e1b4b 100%) !important; color: white !important; font-family: 'Inter', sans-serif !important; }
-.premium-card { background: rgba(30, 41, 59, 0.7) !important; backdrop-filter: blur(12px); border: 1px solid rgba(255,255,255,0.1); border-radius: 24px; padding: 2rem; box-shadow: 0 25px 50px -12px rgba(0,0,0,0.5); }
+.premium-card { background: rgba(30, 41, 59, 0.7) !important; backdrop-filter: blur(12px); border: 1px solid rgba(255,255,255,0.1); border-radius: 24px; padding: 2rem; box-shadow: 0 25px 50px -12px rgba(0, 0, 0, 0.5); }
 .result-box { font-size: 3rem !important; font-weight: 600; text-align: center; color: #818cf8; background: transparent !important; border: none !important; }
 .btn-primary { background: linear-gradient(135deg, #6366f1 0%, #8b5cf6 100%) !important; border: none !important; border-radius: 12px !important; font-family: 'Outfit', sans-serif !important; font-weight: 600 !important; }
 .diagnostic-panel { margin-top: 30px; border-top: 1px solid rgba(255,255,255,0.1); padding-top: 20px; }
@@ -150,7 +158,7 @@ with gr.Blocks(css=CSS, theme=gr.themes.Default()) as demo:
                 sub_btn = gr.Button("Recognize", variant="primary", elem_classes="btn-primary")
             with gr.Column(scale=1):
                 conf_html = gr.HTML()
-                text_out = gr.Textbox(label="Recognition Result", elem_classes="result-box", interactive=False, show_label=False)
+                text_out = gr.Textbox(label="Result", elem_classes="result-box", interactive=False, show_label=False)
                 status_md = gr.Markdown("Engine ready.")
                 engine_txt = gr.Textbox(label="Active Model", interactive=False)
 
@@ -158,9 +166,8 @@ with gr.Blocks(css=CSS, theme=gr.themes.Default()) as demo:
             gr.Markdown("### 🛠️ Visual Debug: What the Model Sees")
             img_proc = gr.Image(type="pil", label="Preprocessed Input", interactive=False, show_label=False)
 
-    gr.Markdown("Built by DevGen Team.")
-
-sub_btn.click(predict, [img_in, mode_ctrl], [img_proc, text_out, status_md, engine_txt, conf_html])
+    # EVENT HANDLER (Now correctly inside the Blocks context)
+    sub_btn.click(predict, [img_in, mode_ctrl], [img_proc, text_out, status_md, engine_txt, conf_html])
 
 if __name__ == "__main__":
     demo.launch()