Support load_tool

requirements.txt

@@ -1 +1,2 @@
 transformers
+requests

wolfram-alpha-tool

@@ -1,35 +0,0 @@
-class WolframAlpha(Tool):
-    name = "wolfram_alpha"
-    description = ("This is a tool that uses WolframAlpha to compute any mathematical question. It takes one input query, and returns a verbose result in xml format, which includes the solution.")
-
-    inputs = ["query"]
-    outputs = ["result"]
-
-    def __call__(self, query, output='xml', pod_format='plaintext'):
-        base_url = 'http://api.wolframalpha.com/v2/query'
-
-        output_opts = ['xml','json']
-        format_opts = ['plaintext', 'image', 'image,imagemap', 'mathml', 'sound', 'wav']
-
-        if output not in output_opts:
-            return f"{output} is not a correct output parameter! It must be one of these: {output_opts}"
-
-        if pod_format not in format_opts:
-            return f"{pod_format} is not a correct pod_format parameter! It must be one of these: {format_opts}"
-
-        params = {
-            'input': query,
-            'output': output,
-            'appid': CFG_appid,
-        }
-        print("About to response")
-        response = requests.get(base_url, params=params)
-        print("response:",response)
-        if response.status_code == 200:
-            if output == 'xml':
-                return response.text
-            elif output == 'json':
-                # Remove unnecessary empty spaces
-                return str(response.json())
-        else:
-            return f"There was an error with the request, with response: {response}"