Init var in function

app.py

@@ -51,8 +51,8 @@ def create_custom_config(
 
 # Function to compute Chai1 inference
 def compute_Chai1(
-    fasta_file: Optional[str] = None,
-    inference_config_file: Optional[str] = None,
+    fasta_file: Optional[str] = "",
+    inference_config_file: Optional[str] = "",
 ):
     """Compute a Chai1 simulation.
 
@@ -65,31 +65,33 @@ def compute_Chai1(
     with app.run():
         
         force_redownload = False
-        output_dir = None
-        run_id = None
         
         print("🧬 checking inference dependencies")
         download_inference_dependencies.remote(force=force_redownload)
 
-        if fasta_file is None:
+        # Define fasta file
+        if not fasta_file:
             fasta_file = here / "inputs" / "chai1_default_input.fasta"   
         print(f"🧬 running Chai inference on {fasta_file}")
+        print("titi")
+        print(fasta_file)
         fasta_content = Path(fasta_file).read_text()
 
-        if inference_config_file is None:
+        # Define inference config file
+        if not inference_config_file:
             inference_config_file = here / "inputs" / "chai1_quick_inference.json"
         print(f"🧬 loading Chai inference config from {inference_config_file}")
         inference_config = json.loads(Path(inference_config_file).read_text())
 
-        if run_id is None:
-            run_id = hashlib.sha256(uuid4().bytes).hexdigest()[:8]  # short id
+        # Generate a unique run ID
+        run_id = hashlib.sha256(uuid4().bytes).hexdigest()[:8]  # short id
         print(f"🧬 running inference with {run_id=}")
 
         results = chai1_inference.remote(fasta_content, inference_config, run_id)
 
-        if output_dir is None:
-            output_dir = Path("./results")
-            output_dir.mkdir(parents=True, exist_ok=True)
+        # Define output directory
+        output_dir = Path("./results")
+        output_dir.mkdir(parents=True, exist_ok=True)
 
         print(f"🧬 saving results to disk locally in {output_dir}")
         for ii, (scores, cif) in enumerate(results):