Update app.py

app.py

@@ -1,20 +1,92 @@
 import gradio as gr
-from ocr_engine import extract_weight
 from PIL import Image
-import tempfile
+from datetime import datetime
+import pytz
+from ocr_engine import extract_weight
+from simple_salesforce import Salesforce
+import base64
+import os
+
+# Salesforce credentials
+SF_USERNAME = "[email protected]"
+SF_PASSWORD = "autoweight@32"
+SF_TOKEN = "UgiHKWT0aoZRX9gvTYDjAiRY"
+
+# Connect to Salesforce
+sf = Salesforce(username=SF_USERNAME, password=SF_PASSWORD, security_token=SF_TOKEN)
 
 def process_image(image):
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as f:
-        image.save(f.name)
-        result = extract_weight(f.name)
-    return result
-
-demo = gr.Interface(
-    fn=process_image,
-    inputs=gr.Image(type="pil"),
-    outputs="text",
-    title="Auto Weight Detector",
-    description="Upload an image of a digital balance showing weight in g or kg (e.g. 52.25 g, 75.8 kg)"
-)
+    if image is None:
+        return "❌ No image provided", "", None, gr.update(visible=True)
+    try:
+        # Extract weight using OCR (your updated function should handle any clear image)
+        weight = extract_weight(image)
+
+        ist = pytz.timezone('Asia/Kolkata')
+        timestamp = datetime.now(ist).strftime("%Y-%m-%d %H:%M:%S IST")
+
+        if not weight or "No valid" in weight:
+            return "❌ Unable to detect. Try again with a clearer image.", "", image, gr.update(visible=True)
+
+        # Save image temporarily
+        image_path = "snapshot.jpg"
+        image.save(image_path)
+
+        # Create Weight_Log__c record
+        record = sf.Weight_Log__c.create({
+            "Captured_Weight__c": float(weight.replace("kg", "").strip()),
+            "Captured_At__c": datetime.now(ist).isoformat(),
+            "Device_ID__c": "DEVICE-001",
+            "Status__c": "Confirmed"
+        })
+
+        # Upload image as ContentVersion
+        with open(image_path, "rb") as f:
+            encoded_image = base64.b64encode(f.read()).decode("utf-8")
+
+        content = sf.ContentVersion.create({
+            "Title": f"Snapshot_{timestamp}",
+            "PathOnClient": "snapshot.jpg",
+            "VersionData": encoded_image
+        })
+
+        content_id = sf.query(
+            f"SELECT ContentDocumentId FROM ContentVersion WHERE Id = '{content['id']}'"
+        )['records'][0]['ContentDocumentId']
+
+        sf.ContentDocumentLink.create({
+            "ContentDocumentId": content_id,
+            "LinkedEntityId": record['id'],
+            "ShareType": "V",
+            "Visibility": "AllUsers"
+        })
+
+        return weight, timestamp, image, gr.update(visible=False)
+    except Exception as e:
+        return f"Error: {str(e)}", "", None, gr.update(visible=True)
+
+# Updated header: Removed "and logs it into Salesforce"
+with gr.Blocks(css=".gr-button {background-color: #2e7d32 !important; color: white !important;}") as demo:
+    gr.Markdown("""
+    <h1 style='text-align: center; color: #2e7d32;'>📷 Auto Weight Logger</h1>
+    <p style='text-align: center;'>Upload or capture a digital weight image. Detects weight using AI OCR.</p>
+    <hr style='border: 1px solid #ddd;'/>
+    """)
+
+    with gr.Row():
+        image_input = gr.Image(type="pil", label="📁 Upload or Capture Image")
+
+    detect_btn = gr.Button("🚀 Detect Weight")
+
+    with gr.Row():
+        weight_out = gr.Textbox(label="📦 Detected Weight", placeholder="e.g., 97.9 kg", show_copy_button=True)
+        time_out = gr.Textbox(label="🕒 Captured At (IST)", placeholder="e.g., 2025-07-01 12:00:00")
+
+    snapshot = gr.Image(label="📸 Snapshot Preview")
+    retake_btn = gr.Button("🔁 Retake / Try Again", visible=False)
+
+    detect_btn.click(fn=process_image, inputs=image_input, outputs=[weight_out, time_out, snapshot, retake_btn])
+    retake_btn.click(fn=lambda: ("", "", None, gr.update(visible=False)),
+                     inputs=[], outputs=[weight_out, time_out, snapshot, retake_btn])
 
 demo.launch()