llama 3 auskommentiert

app.py

@@ -60,12 +60,13 @@ llama_pipeline = pipeline(
     device_map="auto",
 )
 
+
+"""
 @app.post("/frame-details")
 def frame_details(text: str):
-    """
-    Extract structured information from a given text about frames using the
-    Meta-Llama-3-70B-Instruct model. The model will output details like price, color, etc.
-    """
+    
+    # Extract structured information from a given text about frames using the Meta-Llama-3-70B-Instruct model. The model will output details like price, color, etc.
+    
     messages = [
         {"role": "system", "content": "You are an api chatbot for frames and glasses who always responds with only a json. Extract the infomation given into a structured json for frame details"},
         {"role": "user", "content": text},
@@ -100,4 +101,6 @@ def frame_details(text: str):
 
 if __name__ == "__main__":
     import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=8000)
+    uvicorn.run(app, host="0.0.0.0", port=8000)
+
+"""