Update app.py

app.py

@@ -259,42 +259,59 @@ def ocr_process_np_image(np_img, detail=1):
     return joined_text, ocr_blocks
 
 # ---------------------
-# Programmatic functions
+# Programmatic functions (modified to return a single comma-separated string)
 # ---------------------
+def _ingredients_to_string(ingredients_list):
+    """Return a clean comma-separated string from the ingredients list."""
+    if not ingredients_list:
+        return ""
+    return ", ".join(ingredients_list)
+
 def run_by_image_base64(image_base64: str, detail=1):
+    """
+    Accepts a base64 image string and RETURNS ONLY a comma-separated ingredient string.
+    Exposed at /run/run_by_image_base64 when the Space runs.
+    """
     try:
         np_img = _b64_to_rgb_np(image_base64)
         joined_text, _ = ocr_process_np_image(np_img, detail=int(detail))
         ingredients = extract_ingredients_from_text(joined_text)
-        return json.dumps(ingredients, indent=2)
+        return _ingredients_to_string(ingredients)
     except Exception as e:
-        return json.dumps({"error": str(e), "traceback": traceback.format_exc()}, indent=2)
+        return f"ERROR: {str(e)}"
+
+def run_by_image_file(img, detail=1):
+    """
+    Gradio UI function: accepts an uploaded image (PIL or numpy) and RETURNS a comma-separated ingredient string.
+    """
+    try:
+        if isinstance(img, np.ndarray):
+            np_img = img
+        else:
+            np_img = np.array(img.convert("RGB"))
+        joined_text, _ = ocr_process_np_image(np_img, detail=int(detail))
+        ingredients = extract_ingredients_from_text(joined_text)
+        return _ingredients_to_string(ingredients)
+    except Exception as e:
+        return f"ERROR: {str(e)}"
 
 def run_by_image_url(image_url: str, detail=1):
+    """
+    Accepts a public image URL, fetches the image server-side, runs OCR, and RETURNS a comma-separated ingredient string.
+    Exposed at /run/run_by_image_url when the Space runs.
+    """
     try:
         if not image_url or not isinstance(image_url, str):
-            return json.dumps({"error": "image_url required"}, indent=2)
+            return "ERROR: image_url required"
         resp = requests.get(image_url, timeout=15)
         resp.raise_for_status()
         pil = Image.open(io.BytesIO(resp.content)).convert("RGB")
         np_img = np.array(pil)
         joined_text, _ = ocr_process_np_image(np_img, detail=int(detail))
         ingredients = extract_ingredients_from_text(joined_text)
-        return json.dumps(ingredients, indent=2)
-    except Exception as e:
-        return json.dumps({"error": str(e), "traceback": traceback.format_exc()}, indent=2)
-
-def run_by_image_file(img, detail=1):
-    try:
-        if isinstance(img, np.ndarray):
-            np_img = img
-        else:
-            np_img = np.array(img.convert("RGB"))
-        joined_text, _ = ocr_process_np_image(np_img, detail=int(detail))
-        ingredients = extract_ingredients_from_text(joined_text)
-        return json.dumps(ingredients, indent=2)
+        return _ingredients_to_string(ingredients)
     except Exception as e:
-        return json.dumps({"error": str(e), "traceback": traceback.format_exc()}, indent=2)
+        return f"ERROR: {str(e)}"
 
 # ---------------------
 # Your existing wrappers (kept)