Upload 3 files

app.py

@@ -1,37 +1,22 @@
 from fastapi import FastAPI
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-# Wrap problematic imports in try-except blocks
-try:
-    from peft import PeftModel, PeftConfig
-except ImportError as e:
-    print(f"Error importing from peft: {e}")
-    raise
-
-try:
-    from mistral_common.tokenizer import AutoMistralTokenizer
-except ImportError as e:
-    print(f"Error importing from mistral_common: {e}")
-    raise
+from transformers import AutoModelForCausalLM
+from mistral_common import MistralTokenizer  # Hypothetical package, adjust based on actual package name and usage
+from peft import PeftModel, PeftConfig
 
 # Initialize FastAPI app
 app = FastAPI()
 
 # Load PEFT model configuration and base model
-try:
-    config = PeftConfig.from_pretrained("frankmorales2020/Mistral-7B-text-to-sql-flash-attention-2-dataeval")
-    base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
-    model = PeftModel.from_pretrained(base_model, "frankmorales2020/Mistral-7B-text-to-sql-flash-attention-2-dataeval")
+config = PeftConfig.from_pretrained("frankmorales2020/Mistral-7B-text-to-sql-flash-attention-2-dataeval")
+base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
+model = PeftModel.from_pretrained(base_model, "frankmorales2020/Mistral-7B-text-to-sql-flash-attention-2-dataeval")
 
-    # Load recommended tokenizer
-    tokenizer = AutoMistralTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
+# Load recommended tokenizer
+tokenizer = MistralTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
 
-    # Create the pipeline
-    from transformers import pipeline
-    pipe = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
-except Exception as e:
-    print(f"Error loading model or creating pipeline: {e}")
-    raise
+# Create the pipeline
+from transformers import pipeline
+pipe = pipeline("text2sql", model=model, tokenizer=tokenizer)
 
 @app.get("/")
 def home():
@@ -39,8 +24,5 @@ def home():
 
 @app.get("/generate")
 def generate(text: str):
-    try:
-        output = pipe(text)
-        return {"output": output[0]['generated_text']}
-    except Exception as e:
-        return {"error": str(e)}
+    output = pipe(text)
+    return {"output": output[0]['generated_text']}