attempting another way

app.py

@@ -8,8 +8,8 @@ import logging
 from helpers.constant import *
 from helpers.chat import basicChat, guidedMM, mmChat
 import os
-import requests
 import tempfile
+import requests
 
 logger = logging.getLogger(__name__)
 logging.basicConfig(filename='app.log', level=logging.INFO)
@@ -49,15 +49,13 @@ enable = st.checkbox("Enable camera")
 picture = st.camera_input("Take a picture of your math work", disabled=not enable)
 
 if picture is not None:
-    temp_dir = tempfile.TemporaryDirectory()
-    temp_image_path = temp_dir.name + "/" + picture.name
+    # Save the image to a temporary file
+    temp_dir = tempfile.mkdtemp()
+    temp_image_path = os.path.join(temp_dir, "picture.png")
     with open(temp_image_path, "wb") as f:
-        f.write(picture.getvalue())
-
-    # Get image URL
-    base_url = requests.get("https://ipv4.icanhazip.com")
-    img_url = f"https://{base_url}/" + temp_image_path
-    logger.info(img_url)
+        f.write(picture.getbuffer())
+    extIP = requests.get("https://ipv4.icanhazip.com").text + ":8501" 
+    img_url = f"http://{extIP}{temp_image_path}"
     guidedMM(st.session_state.systemPrompt, img_url)
 else:
     basicChat()

helpers/chat.py

@@ -8,15 +8,6 @@ logger = logging.getLogger(__name__)
 api_key = os.environ.get('hf_api')
 client = InferenceClient(api_key=api_key)
 
-def hf_stream(model_name: str, messages: dict):
-    stream = client.chat.completions.create(
-        model=model_name, 
-        messages=messages, 
-        max_tokens=1000,
-        stream=True)
-    for chunk in stream:
-        chunk.choices[0].delta.content, end=""
-
 def hf_generator(model,prompt,data,system=None):
     if system:    
         messages = [