diff --git a/Cargo.toml b/Cargo.toml
index 5fb1e98..396f5cf 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -11,7 +11,7 @@ dotenv = "0.15"
 sqlx = { version = "*", features = ["runtime-tokio-rustls", "sqlite"] }
 tokio = { version = "*", features = ["full"] }
 axum = "*"
-reqwest = { version = "*", features = ["json"]}
+reqwest = { version = "*", features = ["json", "multipart"] }
 serde = { version = "1.0", features = ["derive"] }
 serde_json = "1.0"
 
diff --git a/src/assistant.rs b/src/assistant.rs
index 52c459c..874c560 100644
--- a/src/assistant.rs
+++ b/src/assistant.rs
@@ -7,7 +7,7 @@ use axum::{
     Extension, Json,
 };
 
-use reqwest::Client;
+use reqwest::{Client, multipart::Form};
 use serde::{Deserialize, Serialize};
 
 use serde_json::json;
@@ -116,6 +116,7 @@ pub struct Assistant {
     model: String,
     instructions: String,
     folder_path: String,
+    file_ids: Vec<String>,
     scrape_urls: Vec<String>,
 }
 impl Assistant {
@@ -132,6 +133,7 @@ impl Assistant {
         });
         let response = client
             .post("https://api.openai.com/v1/assistants")
+            .header("OpenAI-Beta", "assistants=v1")
             .bearer_auth(&api_key)
             .json(&payload)
             .send()
@@ -197,46 +199,61 @@ impl Assistant {
         }
         Ok(())
     }
-    /// upload a file to OpenAI and return the file ID
-    pub async fn upload_file(&self, file_path: &str) -> Result<String, AssistantError> {
+    /// upload a all files in a folder and return a vector of file IDs
+    pub async fn upload_files(&mut self) -> Result<(), AssistantError> {
         let api_key = env::var("OPENAI_API_KEY")
             .map_err(|_| AssistantError::OpenAIError("OPENAI_API_KEY not set".to_string()))?;
         let client = Client::new();
-        let payload = json!({
-            "purpose": "assistants",
-            "file": file_path,
-        });
-        let response = client
-            .post("https://api.openai.com/v1/files")
-            .bearer_auth(&api_key)
-            .json(&payload)
-            .send()
-            .await;
-        match response {
-            Ok(res) if res.status().is_success() => match res.json::<FileUploadResponse>().await {
-                Ok(file_response) => Ok(file_response.id),
-                Err(_) => Err(AssistantError::OpenAIError(
-                    "Failed to parse response from OpenAI".to_string(),
-                )),
-            },
-            Ok(res) => {
-                let error_message = res.text().await.unwrap_or_default();
-                Err(AssistantError::OpenAIError(error_message))
+        let paths = fs::read_dir(Path::new(&self.folder_path))
+            .map_err(|e| AssistantError::DatabaseError(e.to_string()))?;
+        for path in paths {
+            let path = path
+                .map_err(|e| AssistantError::DatabaseError(e.to_string()))?
+                .path();
+            if path.is_file() {
+                let form = reqwest::multipart::Form::new()
+                    .file("file", path.to_str().unwrap())
+                    .map_err(|e| AssistantError::OpenAIError(e.to_string()))?;
+                let response = client
+                    .post("https://api.openai.com/v1/files")
+                    .header("OpenAI-Beta", "assistants=v1")
+                    .bearer_auth(&api_key)
+                    .multipart(form)
+                    .send()
+                    .await;
+                match response {
+                    Ok(res) if res.status().is_success() => {
+                        if let Ok(file_response) = res.json::<FileUploadResponse>().await {
+                            self.file_ids.push(file_response.id);
+                        } else {
+                            return Err(AssistantError::OpenAIError(
+                                "Failed to parse response from OpenAI".to_string(),
+                            ));
+                        }
+                    }
+                    Ok(res) => {
+                        let error_message = res.text().await.unwrap_or_default();
+                        return Err(AssistantError::OpenAIError(error_message));
+                    }
+                    Err(e) => return Err(AssistantError::OpenAIError(e.to_string())),
+                }
             }
-            Err(e) => Err(AssistantError::OpenAIError(e.to_string())),
         }
+        Ok(())
     }
-    pub async fn attach_files(&self, file_ids: Vec<String>) -> Result<(), AssistantError> {
+    /// Attach the files with IDs stored in the file_ids field to the assistant.
+    pub async fn attach_files(&self) -> Result<(), AssistantError> {
         let api_key = env::var("OPENAI_API_KEY")
             .map_err(|_| AssistantError::OpenAIError("OPENAI_API_KEY not set".to_string()))?;
         let client = Client::new();
-        for file_id in file_ids {
-            let payload = AttachFilesRequest { file_id };
+        for file_id in &self.file_ids {
+            let payload = json!({ "file_id": file_id });
             let response = client
                 .post(format!(
                     "https://api.openai.com/v1/assistants/{}/files",
                     self.id
                 ))
+                .header("OpenAI-Beta", "assistants=v1")
                 .bearer_auth(&api_key)
                 .json(&payload)
                 .send()
@@ -266,23 +283,21 @@ pub async fn create_assistant(
         instructions: instructions.to_string(),
         folder_path: folder_path.to_string(),
         scrape_urls: Vec::new(),
+        file_ids: Vec::new(), // Make sure this field exists in the Assistant struct
     };
+    // Initialize the assistant by creating it on the OpenAI platform
     assistant.initialize().await?;
-    let paths = fs::read_dir(Path::new(folder_path))
-        .map_err(|e| AssistantError::DatabaseError(e.to_string()))?;
-    let mut file_ids = Vec::new();
-    for path in paths {
-        let path = path
-            .map_err(|e| AssistantError::DatabaseError(e.to_string()))?
-            .path();
-        if path.is_file() {
-            let file_id = assistant.upload_file(path.to_str().unwrap()).await?;
-            file_ids.push(file_id);
-        }
+    // Scrape context if needed (optional, based on whether scrape_urls are provided)
+    if !assistant.scrape_urls.is_empty() {
+        assistant.scrape_context().await?;
     }
-    assistant.attach_files(file_ids).await?;
+    // Upload files from the folder_path to OpenAI and store the file IDs in the assistant
+    assistant.upload_files().await?;
+    // Attach the uploaded files to the assistant using the stored file IDs
+    assistant.attach_files().await?;
     Ok(assistant)
 }
+
 struct Chat {
     id: String,
     user_id: String,
diff --git a/src/main.rs b/src/main.rs
index 526c13e..b1760ec 100644
--- a/src/main.rs
+++ b/src/main.rs
@@ -21,7 +21,7 @@ async fn main() {
         "My Assistant",
         "gpt-4",
         "Your instructions here",
-        "path/to/folder",
+        "context",
     )
     .await
     {