Update app.py

app.py

@@ -142,6 +142,7 @@ def pdf_to_markdown(pdf_path: str) -> str:
                 page_text = page.extract_text() or ""
                 page_text = page_text.strip()
                 if page_text:
+                    # 페이지별 최대치 잘라서 사용
                     if len(page_text) > MAX_CONTENT_CHARS // max_pages:
                         page_text = page_text[:MAX_CONTENT_CHARS // max_pages] + "...(truncated)"
                     text_chunks.append(f"## Page {page_num+1}\n\n{page_text}\n")
@@ -277,6 +278,7 @@ def process_interleaved_images(message: dict) -> list[dict]:
         elif part.strip():
             content.append({"type": "text", "text": part.strip()})
         else:
+            # 빈 문자열도 content에 추가될 수 있으므로 필요한 경우 조정
             if isinstance(part, str) and part != "<image>":
                 content.append({"type": "text", "text": part})
     return content
@@ -329,6 +331,7 @@ def process_new_user_message(message: dict) -> list[dict]:
 
     if "<image>" in message["text"] and image_files:
         interleaved_content = process_interleaved_images({"text": message["text"], "files": image_files})
+        # 이미 text 본문에 <image>가 포함된 경우, 중복 처리를 피하기 위해 필요 시 조정
         if content_list and content_list[0]["type"] == "text":
             content_list = content_list[1:]
         return interleaved_content + content_list
@@ -388,6 +391,7 @@ def run(
     try:
         combined_system_msg = ""
 
+        # 내부적으로만 사용 (UI에서는 보이지 않음)
         if system_prompt.strip():
             combined_system_msg += f"[System Prompt]\n{system_prompt.strip()}\n\n"
 
@@ -467,7 +471,6 @@ examples = [
     [
         {
             "text": "두 PDF 파일 내용을 비교하라.",
-            "files": ["assets/additional-examples/pdf.pdf"],
             "files": [
                 "assets/additional-examples/before.pdf",
                 "assets/additional-examples/after.pdf",
@@ -562,7 +565,7 @@ examples = [
 
 
 ##############################################################################
-# Gradio UI (Blocks) 구성
+# Gradio UI (Blocks) 구성 (좌측 사이드 메뉴 없이 전체화면 채팅)
 ##############################################################################
 css = """
 body {
@@ -584,8 +587,8 @@ body {
     color: #333;
     text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.2);
 }
-.fillable { 
-    width: 95% !important; 
+.fillable {
+    width: 95% !important;
     max-width: unset !important;
 }
 #examples_container {
@@ -595,12 +598,6 @@ body {
 #examples_row {
     justify-content: center;
 }
-.sidebar {
-    background: rgba(255, 255, 255, 0.98);
-    border-radius: 10px;
-    padding: 20px;
-    box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
-}
 button, .btn {
     background: linear-gradient(90deg, #ff8a00, #e52e71);
     border: none;
@@ -628,70 +625,61 @@ title_html = """
 with gr.Blocks(css=css, title="Vidraft-G3-27B ") as demo:
     gr.Markdown(title_html)
 
-    with gr.Row():
-        # Left Sidebar
-        with gr.Column(scale=3, variant="panel"):
-            gr.Markdown("### Menu / Options")
-            with gr.Row():
-                web_search_checkbox = gr.Checkbox(
-                    label="Web Search",
-                    value=False,
-                    info="Check to enable a Deep Research(auto keywords) before the chat reply"
-                )
-            web_search_text = gr.Textbox(
-                lines=1,
-                label="(Unused) Web Search Query",
-                placeholder="No direct input needed"
-            )
-
-            gr.Markdown("---")
-            gr.Markdown("#### System Prompt")
-            system_prompt_box = gr.Textbox(
-                lines=3,
-                value=(
-                    "You are a deep thinking AI, you may use extremely long chains of thought to deeply consider the problem and deliberate with yourself via systematic reasoning processes to help come to a correct solution prior to answering. You should enclose your thoughts and internal monologue inside tags, and then provide your solution or response to the problem. Please answer in korean."
-                ),
-            )
+    # 웹서치 옵션은 화면에 표시 (하지만 시스템 프롬프트, 토큰 슬라이더 등은 감춤)
+    web_search_checkbox = gr.Checkbox(
+        label="Use Web Search (자동 키워드 추출)",
+        value=False
+    )
 
-            max_tokens_slider = gr.Slider(
-                label="Max New Tokens",
-                minimum=100,
-                maximum=8000,
-                step=50,
-                value=2000,  # GPU 메모리 절약 위해 기본값 약간 축소
-            )
+    # 내부적으로 쓰이지만 화면에는 노출되지 않도록 설정
+    system_prompt_box = gr.Textbox(
+        lines=3,
+        value="You are a deep thinking AI, you may use extremely long chains of thought to deeply consider the problem and deliberate with yourself via systematic reasoning processes to help come to a correct solution prior to answering. You should enclose your thoughts and internal monologue inside tags, and then provide your solution or response to the problem. Please answer in Korean.",
+        visible=False  # 화면에서 감춤
+    )
+    max_tokens_slider = gr.Slider(
+        label="Max New Tokens",
+        minimum=100,
+        maximum=8000,
+        step=50,
+        value=2000,
+        visible=False  # 화면에서 감춤
+    )
+    web_search_text = gr.Textbox(
+        lines=1,
+        label="(Unused) Web Search Query",
+        placeholder="No direct input needed",
+        visible=False  # 화면에서 감춤
+    )
 
-            gr.Markdown("<br><br>")
-
-        # Main ChatInterface
-        with gr.Column(scale=7):
-            chat = gr.ChatInterface(
-                fn=run,
-                type="messages",
-                chatbot=gr.Chatbot(type="messages", scale=1, allow_tags=["image"]),
-                textbox=gr.MultimodalTextbox(
-                    file_types=[
-                        ".webp", ".png", ".jpg", ".jpeg", ".gif",
-                        ".mp4", ".csv", ".txt", ".pdf"
-                    ],
-                    file_count="multiple",
-                    autofocus=True
-                ),
-                multimodal=True,
-                additional_inputs=[
-                    system_prompt_box,
-                    max_tokens_slider,
-                    web_search_checkbox,
-                    web_search_text,
-                ],
-                stop_btn=False,
-                title="https://discord.gg/openfreeai",
-                examples=examples,
-                run_examples_on_click=False,
-                cache_examples=False,
-                css_paths=None,
-                delete_cache=(1800, 1800),
-            )
+    # 채팅 인터페이스를 화면 전체 폭으로 사용
+    chat = gr.ChatInterface(
+        fn=run,
+        type="messages",
+        chatbot=gr.Chatbot(type="messages", scale=1, allow_tags=["image"]),
+        textbox=gr.MultimodalTextbox(
+            file_types=[
+                ".webp", ".png", ".jpg", ".jpeg", ".gif",
+                ".mp4", ".csv", ".txt", ".pdf"
+            ],
+            file_count="multiple",
+            autofocus=True
+        ),
+        multimodal=True,
+        additional_inputs=[
+            system_prompt_box,
+            max_tokens_slider,
+            web_search_checkbox,
+            web_search_text,
+        ],
+        stop_btn=False,
+        title="https://discord.gg/openfreeai",
+        examples=examples,
+        run_examples_on_click=False,
+        cache_examples=False,
+        css_paths=None,
+        delete_cache=(1800, 1800),
+    )
 
     with gr.Row(elem_id="examples_row"):
         with gr.Column(scale=12, elem_id="examples_container"):
@@ -702,8 +690,7 @@ with gr.Blocks(css=css, title="Vidraft-G3-27B ") as demo:
                 cache_examples=False
             )
 
-if __name__ == "__main__":
-    # share=True 시 HF Spaces에서 경고 발생 - 로컬에서만 동작
-    # demo.launch(share=True)
-    demo.launch()
 
+if __name__ == "__main__":
+    # 로컬에서만 실행 시
+    demo.launch()