Add presentation file pdf

.gitattributes

@@ -1 +1,2 @@
 *.doc filter=lfs diff=lfs merge=lfs -text
+*.pdf filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -10,7 +10,6 @@ __pycache__/
 # Binary files
 .doc
 .docx
-.pdf
 
 # Distribution / packaging
 .Python

FinalProject-Presentation.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2cffe218897cc50ac518baa9c74320c52b4956f34143e6601a4d119638bfba2d
+size 751258

app.py

@@ -135,9 +135,6 @@ def load_data_protection_rules():
 def extract_text_from_file(uploaded_file):
     """Extract text from uploaded file (PDF, MARKDOWN, DOC/DOCX, or TXT)"""
     try:
-        st.write(f"Processing file: {uploaded_file.name}")
-        st.write(f"File type: {type(uploaded_file)}")
-
         # Reset file pointer to beginning
         uploaded_file.seek(0)
 
@@ -310,8 +307,8 @@ def chat_with_document(client, prefix: str, question: str) -> str:
 
 # Main app
 def main():
-    st.title("📄 Document Analysis Chatbot with Implicit Caching")
-    # st.markdown("*Powered by Gemini 2.5 Flash with Automatic Cost Optimization*")
+    st.title("📄 Document Analysis Chatbot")
+    st.markdown("*Powered by Gemini 2.5 Flash with Automatic Cost Optimization*")
     # st.markdown("---")
 
     # Load data protection rules automatically on startup
@@ -336,7 +333,7 @@ def main():
         **Cách 2:** Nhập trực tiếp ở sidebar
         
         ### 📝 Lấy API Key:
-        1. Truy cập [Google AI Studio](https://makersuite.google.com/app/apikey)
+        1. Truy cập [Google AI Studio](https://aistudio.google.com/app/apikey)
         2. Tạo API Key mới
         3. Sao chép và cấu hình
         """
@@ -347,8 +344,8 @@ def main():
     st.sidebar.header("📁 Upload Tài liệu")
     uploaded_file = st.sidebar.file_uploader(
         "Chọn tài liệu cần phân tích",
-        type=["pdf", "doc", "txt", "md", "docx"],
-        help="Hỗ trợ định dạng PDF, MARKDOWN, DOC/DOCX, TXT",
+        type=["pdf", "doc", "docx", "md", "txt"],
+        help="Hỗ trợ định dạng PDF, DOC/DOCX, MARKDOWN, TXT",
     )
 
     # Show data protection status
@@ -390,7 +387,7 @@ def main():
             # Create a container for chat messages
             prompt = st.chat_input("Đặt câu hỏi về tài liệu...")
 
-            with st.container(height=500):
+            with st.container(height=350):
                 # Display chat history
                 for message in st.session_state.messages:
                     with st.chat_message(message["role"]):