sync change

app.py

@@ -1,3 +1,10 @@
+import asyncio
+# Prevent shutdown-time event loop errors
+try:
+    asyncio.get_event_loop()
+except RuntimeError:
+    asyncio.set_event_loop(asyncio.new_event_loop())
+
 import gradio as gr
 import torch
 from transformers import (
@@ -35,25 +42,28 @@ chat_model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-base")
 
 def explain_recycling(class_label):
     prompt = f"""
-    You are a waste management expert.
-    The waste item is classified as: {class_label}
-    Provide a detailed explanation including:
-
-    1. Recycling type
-    2. Correct disposal method
-    3. How it should be recycled or processed
-    4. Tips for reducing or reusing this item
-
-    Write 3–6 paragraphs, friendly and clear.
+    You are a waste-management specialist.
+    The item was classified as: **{class_label}**.
+
+    Write a detailed explanation with the following sections:
+
+    1. Recycling type (organic, inorganic, recyclable, hazardous, compostable, etc.)
+    2. Why this item belongs to this category
+    3. Correct and safe disposal method
+    4. How it should be processed or recycled at facilities
+    5. Environmental impact if handled incorrectly
+    6. Advice on reducing, reusing, or sustainable alternatives
+    
+    Write in clear, friendly paragraphs (4–7 paragraphs).
     """
 
     inputs = tokenizer(prompt, return_tensors="pt").input_ids
 
     outputs = chat_model.generate(
         inputs,
-        max_length=400,
+        max_length=420,
         do_sample=True,
-        temperature=0.75,
+        temperature=0.7,
         top_p=0.9
     )
 
@@ -68,20 +78,6 @@ def full_pipeline(image):
     return predictions, explanation
 
 
-# ------------------ CUSTOM THEME ------------------
-custom_theme = gr.themes.Base(
-    primary_hue="green",
-    secondary_hue="blue",
-    neutral_hue="slate"
-).set(
-    body_background_fill="#F8FFF4",
-    block_background_fill="#FFFFFF",
-    button_primary_background_fill="#3BAF4A",
-    button_primary_background_fill_hover="#2F8C3A",
-    button_primary_text_color="white",
-)
-
-
 # ------------------ GRADIO UI ------------------
 with gr.Blocks() as demo:
     gr.Markdown("<h1 style='text-align:center;'>♻️ AI Waste Classifier + Eco Advisor</h1>")
@@ -94,7 +90,7 @@ with gr.Blocks() as demo:
     explain_output = gr.Textbox(
         label="Detailed Recycling & Disposal Advice",
         elem_id="explainbox",
-        lines=16
+        lines=18
     )
 
     analyze_btn = gr.Button("Analyze", variant="primary")
@@ -105,5 +101,8 @@ with gr.Blocks() as demo:
         outputs=[cls_output, explain_output]
     )
 
-
-demo.launch(theme=custom_theme, css="#explainbox {height: 350px;}")
+# Theme and CSS moved to launch()
+demo.launch(
+    theme=gr.themes.Soft(primary_hue="green"),
+    css="#explainbox {height: 330px; font-size: 15px;}"
+)