diff --git a/avo_xtb/ohess.py b/avo_xtb/ohess.py
index 4010345..f5bfe29 100644
--- a/avo_xtb/ohess.py
+++ b/avo_xtb/ohess.py
@@ -13,6 +13,59 @@
 logger = logging.getLogger(__name__)
 
 
+def ohess(avo_input: dict) -> dict:
+    # Extract the coords
+    geom = easyxtb.Geometry.from_cjson(avo_input["cjson"])
+
+    # Run calculation; returns path to Gaussian file containing frequencies
+    logger.debug("avo_xtb is requesting an opt+freq calculation")
+    opt_geom, freqs, calc = easyxtb.calculate.opt_freq(
+        geom,
+        options=easyxtb.config["xtb_opts"],
+        return_calc=True,
+    )
+
+    # Convert geometry and frequencies to cjson
+    geom_cjson = opt_geom.to_cjson()
+    freq_cjson = easyxtb.convert.freq_to_cjson(freqs)
+
+    # Check for convergence
+    # TODO
+    # Will need to look for "FAILED TO CONVERGE"
+
+    # Get energy for Avogadro
+    energies = easyxtb.convert.convert_energy(calc.energy, "hartree")
+
+    # Format everything appropriately for Avogadro
+    # Start from the original cjson
+    output = {"moleculeFormat": "cjson", "cjson": avo_input["cjson"].copy()}
+
+    # Remove anything that is now unphysical after the optimization
+    output["cjson"] = cleanup_after_opt(output["cjson"])
+
+    # Add data from calculation
+    output["cjson"]["vibrations"] = freq_cjson["vibrations"]
+    output["cjson"]["atoms"]["coords"] = geom_cjson["atoms"]["coords"]
+    output["cjson"]["properties"]["totalEnergy"] = round(energies["eV"], 7)
+    # Partial charges if present
+    if hasattr(calc, "partial_charges"):
+        output["cjson"]["atoms"]["partialCharges"] = calc.partial_charges
+
+    # Inform user if there are negative frequencies
+    if freqs[0]["frequency"] < 0:
+        output["message"] = (
+            "At least one negative frequency found!\n"
+            + "This is not a minimum on the potential energy surface.\n"
+            + "You should reoptimize the geometry."
+        )
+
+    # Save result
+    with open(easyxtb.TEMP_DIR / "result.cjson", "w", encoding="utf-8") as save_file:
+        json.dump(output["cjson"], save_file, indent=2)
+
+    return output
+
+
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument("--debug", action="store_true")
@@ -38,52 +91,7 @@
     if args.run_command:
         # Read input from Avogadro
         avo_input = json.loads(sys.stdin.read())
-        # Extract the coords
-        geom = easyxtb.Geometry.from_cjson(avo_input["cjson"])
-
-        # Run calculation; returns path to Gaussian file containing frequencies
-        logger.debug("avo_xtb is requesting an opt+freq calculation")
-        opt_geom, freqs, calc = easyxtb.calculate.opt_freq(
-            geom,
-            options=easyxtb.config["xtb_opts"],
-            return_calc=True,
-        )
-
-        # Convert geometry and frequencies to cjson
-        geom_cjson = opt_geom.to_cjson()
-        freq_cjson = easyxtb.convert.freq_to_cjson(freqs)
-
-        # Check for convergence
-        # TODO
-        # Will need to look for "FAILED TO CONVERGE"
-
-        # Get energy for Avogadro
-        energies = easyxtb.convert.convert_energy(calc.energy, "hartree")
-
-        # Format everything appropriately for Avogadro
-        # Start from the original cjson
-        output = {"moleculeFormat": "cjson", "cjson": avo_input["cjson"].copy()}
-
-        # Remove anything that is now unphysical after the optimization
-        output["cjson"] = cleanup_after_opt(output["cjson"])
-
-        # Add data from calculation
-        output["cjson"]["vibrations"] = freq_cjson["vibrations"]
-        output["cjson"]["atoms"]["coords"] = geom_cjson["atoms"]["coords"]
-        output["cjson"]["properties"]["totalEnergy"] = round(energies["eV"], 7)
-
-        # Inform user if there are negative frequencies
-        if freqs[0]["frequency"] < 0:
-            output["message"] = (
-                "At least one negative frequency found!\n"
-                + "This is not a minimum on the potential energy surface.\n"
-                + "You should reoptimize the geometry."
-            )
-
-        # Save result
-        with open(easyxtb.TEMP_DIR / "result.cjson", "w", encoding="utf-8") as save_file:
-            json.dump(output["cjson"], save_file, indent=2)
-        
+        output = ohess(avo_input)
         # Pass back to Avogadro
         print(json.dumps(output))
         logger.debug(f"The following dictionary was passed back to Avogadro: {output}")