Update app.py

app.py

@@ -25,9 +25,9 @@ def respond(
     if uploaded_file is not None:
         with open(uploaded_file.name, "r") as f:
             file_content = f.read()
-        messages.append({"role": "user", "content": file_content})
-
-    messages.append({"role": "user", "content": message})
+        messages.append({"role": "user", "content": f"{message}\n\nFile content:\n{file_content}"})
+    else:
+        messages.append({"role": "user", "content": message})
 
     response = ""
 
@@ -43,11 +43,11 @@ def respond(
         response += token
         yield response
 
-    # Process
+  
     if uploaded_file is not None:
         print(f"Uploaded file: {uploaded_file.name}")
 
-        # CSV file
+
         if uploaded_file.name.endswith(".csv"):
             try:
                 df = pd.read_csv(uploaded_file.name)
@@ -59,7 +59,6 @@ def respond(
             except Exception as e:
                 print(f"Error loading CSV file: {e}")
 
-        # text file
         elif uploaded_file.name.endswith(".txt"):
             try:
                 with open(uploaded_file.name, "r") as f:
@@ -72,11 +71,13 @@ def respond(
             except Exception as e:
                 print(f"Error loading text file: {e}")
 
+
 demo = gr.ChatInterface(
     respond,
     title="Nixie Steamcore, a hotbot!",
     additional_inputs=[
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Textbox(value="Nixie Steamcore, a hotbot!", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=2048, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=1.2, step=0.1, label="Temperature"),
         gr.Slider(
             minimum=0.1,
@@ -92,6 +93,7 @@ demo = gr.ChatInterface(
 if __name__ == "__main__":
     demo.launch()
 
+
 """
 import gradio as gr
 from huggingface_hub import InferenceClient