Update app.py

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-import transformers  # Replace with your specific library if needed
+import transformers
 
 # Load your custom models (example)
 model_name = "microsoft/Phi-3-mini-4k-instruct"  # Replace with your model name
@@ -12,9 +12,10 @@ def chatbot_response(user_input):
     response = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return response
 
-def upload_readme(file):
-    if file is not None:
-        content = file.read().decode("utf-8")
+def upload_readme(filepath):
+    if filepath is not None:
+        with open(filepath, 'r', encoding='utf-8') as file:
+            content = file.read()
         return content
     return "No file uploaded"
 
@@ -28,14 +29,14 @@ with gr.Blocks() as demo:
             readme_file = gr.File(label="Upload README file", type="filepath", file_types=[".md"])
             readme_content = gr.Textbox(label="README Content", lines=10, placeholder="README content will appear here...")
             
-            # Button to display README content
+            # Display README content after upload
             readme_file.change(upload_readme, inputs=readme_file, outputs=readme_content)
             
             # Chatbot input and output
             user_input = gr.Textbox(label="Your message", placeholder="Type your message here...")
             output = gr.Textbox(label="Chatbot response", placeholder="Chatbot response will appear here...", lines=5)
             
-            # Button to get chatbot response
+            # Get chatbot response
             user_input.submit(chatbot_response, inputs=user_input, outputs=output)
 
 demo.launch()