Update app.py

app.py

@@ -226,42 +226,6 @@ def umwandeln_fuer_anzeige(image):
     
 
 
-##########################################
-#ein hochgeladenes Bild so vorbereiten, dass OpenAI API es annehmen kann und bearbeiten
-#muss ein base64 Bils sein und header und payload entsprechend konfigurieren
-def process_image(image_path, prompt):
-    # Convert image to base64
-    with open(image_path, "rb") as image_file:
-        encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
-
-    # Prepare the data for the API request (specific to the API you're using)
-    headers = {
-              "Content-Type": "application/json",
-              "Authorization": f"Bearer {OAI_API_KEY}"
-            }
-    payload = {
-      "model": MODEL_NAME_IMAGE,
-      "messages": [
-        {
-          "role": "user",
-          "content": [
-            {
-              "type": "text",
-              "text":  llm_template + prompt
-            },
-            {
-              "type": "image_url",
-              "image_url": {
-                "url": f"data:image/jpeg;base64,{encoded_string}"
-              }
-            }
-          ]
-        }
-      ],
-      "max_tokens": 300
-    }   
-    return headers, payload
-
 ##################################################
 #openassistant um uploaded Files zu analysieren
 def create_assistant_file(prompt, file):
@@ -399,7 +363,7 @@ def generate_text_zu_bild(file, prompt, k, rag_option, chatbot, history, db):
         #als reiner prompt:
         prompt_neu = generate_prompt_with_history(neu_text_mit_chunks, history)
 
-    headers, payload = process_image(file, prompt_neu)
+    headers, payload = process_image(file, prompt_neu, MODEL_NAME_IMAGE)
     response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
     #als json ausgeben
     data = response.json()