Update app.py

app.py

@@ -194,10 +194,25 @@ def analyze_message(text):
 # ——— 5) Composite Wrapper ————————————————————————————————————————————————
 def analyze_composite(uploaded_file, *texts):
     outputs = []
-    # file upload
+
+    # 1) File upload
     if uploaded_file is not None:
-        raw = uploaded_file.read()
-        name = uploaded_file.name.lower()
+        # uploaded_file may be a file-like with .read(), or just a path string
+        try:
+            raw = uploaded_file.read()
+        except Exception:
+            # fall back to treating uploaded_file as a filesystem path
+            with open(uploaded_file, "rb") as f:
+                raw = f.read()
+
+        # get the filename (or just use the string if no .name attr)
+        name = (
+            uploaded_file.name.lower()
+            if hasattr(uploaded_file, "name")
+            else uploaded_file.lower()
+        )
+
+        # now branch on extension
         if name.endswith((".png", ".jpg", ".jpeg", ".tiff", ".bmp", ".gif")):
             img = Image.open(io.BytesIO(raw))
             content = pytesseract.image_to_string(img)
@@ -206,6 +221,7 @@ def analyze_composite(uploaded_file, *texts):
                 content = raw.decode("utf-8")
             except UnicodeDecodeError:
                 content = raw.decode("latin-1")
+
         r = analyze_message(content)
         outputs.append(
             "── Uploaded File ──\n"
@@ -213,7 +229,8 @@ def analyze_composite(uploaded_file, *texts):
             f"Active Patterns : {r['active_patterns']}\n"
             f"Emotional Tone  : {r['tone_tag']}\n"
         )
-    # text inputs
+
+    # 2) Text‐box inputs…
     for idx, txt in enumerate(texts, start=1):
         if not txt:
             continue