Update app.py

app.py

@@ -213,26 +213,19 @@ def analyze_composite(uploaded_file, *texts):
 
         # get the filename (or just lowercase the string if it's a path)
         name = (
-            uploaded_file.name.lower()
-            if hasattr(uploaded_file, "name")
-            else uploaded_file.lower()
+            uploaded_file.name.lower() if hasattr(uploaded_file, "name") else uploaded_file.lower()
         )
-
-        # branch on extension
-        if name.endswith((".png", ".jpg", ".jpeg", ".tiff", ".bmp", ".gif")):
+        if name.endswith((".png",".jpg",".jpeg",".tiff",".bmp",".gif")):
             img = Image.open(io.BytesIO(raw))
-            # --- using easyocr or pytesseract, e.g. with easyocr: ---
-            # arr = np.array(img.convert("RGB"))
-            # texts = ocr_reader.readtext(arr, detail=0)
-            # content = "\n".join(texts)
-            content = pytesseract.image_to_string(img)
+            arr = np.array(img.convert("RGB"))
+            texts_ocr = ocr_reader.readtext(arr, detail=0)
+            content = "\n".join(texts_ocr)
         else:
             try:
                 content = raw.decode("utf-8")
             except UnicodeDecodeError:
                 content = raw.decode("latin-1")
 
-        # now analyze that extracted content
         r = analyze_message(content)
         outputs.append(
             "── Uploaded File ──\n"
@@ -240,8 +233,6 @@ def analyze_composite(uploaded_file, *texts):
             f"Active Patterns : {r['active_patterns']}\n"
             f"Emotional Tone  : {r['tone_tag']}\n"
         )
-
-    # 2) Handle any text‐box inputs
     for idx, txt in enumerate(texts, start=1):
         if not txt:
             continue
@@ -252,18 +243,16 @@ def analyze_composite(uploaded_file, *texts):
             f"Active Patterns : {r['active_patterns']}\n"
             f"Emotional Tone  : {r['tone_tag']}\n"
         )
-
-    # 3) No input guard
     if not outputs:
         return "Please enter at least one message."
-
-    # 4) Return combined results
     return "\n".join(outputs)
-# ——— 6) Gradio Interface ————————————————————————————————————————————————
-message_inputs = [gr.Textbox(label=f"Message {i+1}") for i in range(1)]
+
+# ——— 7) Gradio interface ———————————————————————————————————————————————
+message_inputs = [gr.Textbox(label="Message")]
 iface = gr.Interface(
     fn=analyze_composite,
-    inputs=[gr.File(file_types=[".txt", ".png", ".jpg", ".jpeg"], label="Upload text or image")] + message_inputs,
+    inputs=[gr.File(file_types=[".txt",".png",".jpg",".jpeg"], label="Upload text or image")]
++    ] + message_inputs,
     outputs=gr.Textbox(label="Analysis"),
     title="Tether Analyzer (extended tone tags)",
     description="Emotion profiling, pattern tags, and a wide set of nuanced tone categories—no abuse score or DARVO."