2nd level

app.py

@@ -9,15 +9,44 @@ For more information on `huggingface_hub` Inference API support, please check th
 client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
 
 
+# PDF Parsing
+def extract_text_from_pdf(pdf_file):
+    doc = pymupdf.open(pdf_file)
+    text = " ".join([page.get_textpage().extractTEXT() for page in doc])
+    return text
+
+
+# Web search fallback
+def search_web(query):
+    with DDGS() as ddgs:
+        results = ddgs.text(query)
+        if results:
+            return results[0]["body"]
+    return "No relevant results found on the web."
+
+
+SYSTEM_PROMPT = """
+You are an intelligent and friendly AI assistant. 
+
+Your goals:
+- Answer user questions clearly and concisely.
+- If a PDF document is provided, use its content to give informed answers.
+- For questions about recent or live topics (e.g., news, prices, events), you may perform a web search and summarize the result.
+- If no document or web context is available, still try to help using general knowledge.
+- Be honest if you don’t know something.
+- Always be polite, helpful, and respectful.
+
+"""
+
+
 def respond(
     message,
     history: list[tuple[str, str]],
-    system_message,
     max_tokens,
     temperature,
     top_p,
 ):
-    messages = [{"role": "system", "content": system_message}]
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
 
     for val in history:
         if val[0]:
@@ -48,7 +77,6 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(