Update app.py

app.py

@@ -4,35 +4,40 @@ from huggingface_hub import InferenceClient
 
 client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct")
 
+# A global variable to store file content
+uploaded_file_content = ""
+
+# A function to handle file upload and store content
+def handle_file_upload(file):
+    global uploaded_file_content
+    try:
+        with tempfile.NamedTemporaryFile(delete=False, mode="wb") as temp_file:
+            temp_file.write(file.read())
+            temp_file_path = temp_file.name
+        
+        # Read content from saved file
+        with open(temp_file_path, "r", encoding="utf-8") as f:
+            uploaded_file_content = f.read()
+        return "File uploaded successfully!"
+    except Exception as e:
+        return f"Error uploading file: {e}"
+
+# The main response function
 def respond(
     message,
     history: list[tuple[str, str]],
     system_message,
     max_tokens,
     temperature,
-    top_p,
-    file=None
+    top_p
 ):
     # Initialize the messages with the system message
     messages = [{"role": "system", "content": system_message}]
 
-    # Handle file upload
-    if file is not None:
-        try:
-            # Save the uploaded file to a temporary file
-            with tempfile.NamedTemporaryFile(delete=False, mode="wb") as temp_file:
-                temp_file.write(file.read())
-                temp_file_path = temp_file.name  # Store the file path
-
-            # Read the content from the saved file
-            with open(temp_file_path, "r", encoding="utf-8") as f:
-                file_content = f.read()
-                print("File content:", file_content)  # Debug print
-                message = f"{file_content}\n\n{message}"  # Append file content to message
-
-        except Exception as e:
-            print("Error reading file:", e)
-            message = f"(Error reading file: {e})\n\n{message}"
+    # Add uploaded file content to the message
+    global uploaded_file_content
+    if uploaded_file_content:
+        message = f"{uploaded_file_content}\n\n{message}"
 
     # Append conversation history
     for val in history:
@@ -58,23 +63,36 @@ def respond(
         response += token
         yield response
 
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=32000, value=2048, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)"
-        ),
-        gr.File(label="Upload a text file", file_types=[".txt"])
-    ],
-)
+# Define the file upload component and button separately
+file_upload = gr.File(label="Upload a text file", file_types=[".txt"])
+upload_button = gr.Button("Upload File")
+upload_output = gr.Textbox(label="Upload Status", interactive=False)
+
+# Chat interface with dedicated file upload handling
+demo = gr.Blocks()
+
+with demo:
+    gr.Markdown("## Chat Interface with File Upload")
+    with gr.Row():
+        file_upload.render()
+        upload_button.click(handle_file_upload, inputs=file_upload, outputs=upload_output)
+    upload_output.render()
+
+    gr.ChatInterface(
+        respond,
+        additional_inputs=[
+            gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+            gr.Slider(minimum=1, maximum=32000, value=2048, step=1, label="Max new tokens"),
+            gr.Slider(minimum=0.1, maximum=1.0, value=0.7, step=0.1, label="Temperature"),
+            gr.Slider(
+                minimum=0.1,
+                maximum=1.0,
+                value=0.95,
+                step=0.05,
+                label="Top-p (nucleus sampling)"
+            ),
+        ],
+    )
 
 if __name__ == "__main__":
     demo.launch()
-