Update ui/ui_core.py

ui/ui_core.py

@@ -1,17 +1,48 @@
 import gradio as gr
+from PyPDF2 import PdfReader
+import docx
+
+def extract_text_from_uploaded_file(file_path):
+    if file_path.endswith(".pdf"):
+        try:
+            reader = PdfReader(file_path)
+            return "\n".join(page.extract_text() or "" for page in reader.pages)
+        except Exception as e:
+            return f"[Error extracting PDF text: {e}]"
+    elif file_path.endswith(".txt"):
+        try:
+            with open(file_path, "r", encoding="utf-8") as f:
+                return f.read()
+        except Exception as e:
+            return f"[Error reading text file: {e}]"
+    elif file_path.endswith(".docx"):
+        try:
+            doc = docx.Document(file_path)
+            return "\n".join([p.text for p in doc.paragraphs])
+        except Exception as e:
+            return f"[Error reading DOCX: {e}]"
+    else:
+        return "[Unsupported file type for text extraction]"
 
 def create_ui(agent):
     with gr.Blocks(theme=gr.themes.Soft()) as demo:
         gr.Markdown("<h1 style='text-align: center;'>💊 TxAgent: Therapeutic Reasoning</h1>")
         chatbot = gr.Chatbot(label="TxAgent", height=600, type="messages")
 
-        file_upload = gr.File(label="Upload Medical File", file_types=[".pdf", ".txt", ".docx", ".jpg", ".png"])
+        file_upload = gr.File(label="Upload Medical File", file_types=[".pdf", ".txt", ".docx"])
         message_input = gr.Textbox(placeholder="Ask a biomedical question...", show_label=False)
         send_button = gr.Button("Send", variant="primary")
         conversation_state = gr.State([])
-        file_state = gr.State(None)
 
-        def handle_chat(message, history, conversation, uploaded_files):
+        def handle_chat(message, history, conversation, uploaded_file):
+            file_text = ""
+            if uploaded_file:
+                file_text = extract_text_from_uploaded_file(uploaded_file.name)
+
+            # Append file text to the question
+            if file_text:
+                message += f"\n\n[Document Content Extracted from Upload]:\n{file_text}"
+
             generator = agent.run_gradio_chat(
                 message=message,
                 history=history,
@@ -20,7 +51,6 @@ def create_ui(agent):
                 max_token=8192,
                 call_agent=False,
                 conversation=conversation,
-                uploaded_files=[uploaded_files] if uploaded_files else [],
                 max_round=30
             )
             for update in generator:
@@ -37,4 +67,4 @@ def create_ui(agent):
             inputs=message_input,
         )
 
-    return demo
+    return demo