README.md/pre-existing bugs fixed 🐛

README.md

@@ -42,8 +42,11 @@ stream both [Gradio](https://gradio.app) ( and later [Streamlit](https://streaml
  
  - [**Application**](#application-%EF%B8%8F)
 
-## Updates ⚒️
+### Updates ⚒️
 ### Backend 💽
+- errors within the function InterLauncher fixed
+- port mapping fixed
+- removed test prints
 - ``__init__`` function takes inputs within class wrapper
 - better determine registered functions within classes
 - more examples located in the ``backend/src/example``
@@ -55,7 +58,7 @@ def InterLauncher(name, interface, listen=2000, **kwargs):
     port= kwargs["port"] if "port" in kwargs else DOCKER_PORT.determinePort()
     print(listen)
     try:
-        requests.post(f"http://{DOCKER_LOCAL_HOST}:{listen}/api/append/port", json={"port" : port, "host" : f'http://localhost:{port}', "file" : {name}, "name" : "Not Applicable", "kwargs" : kwargs})
+        requests.post(f"http://{DOCKER_LOCAL_HOST}:{listen}/api/append/port", json={"port" : port, "host" : f'http://localhost:{port}', "file" : name, "name" : "Not Applicable", "kwargs" : kwargs})
     except Exception as e:
         print(f"**{bcolor.BOLD}{bcolor.FAIL}CONNECTION ERROR{bcolor.ENDC}** 🐛The listening api is either not up or you choose the wrong port.🐛 \n {e}")
         return
@@ -89,7 +92,13 @@ def InterLauncher(name, interface, listen=2000, **kwargs):
 
 
 ### Frontend 🖥️
-- no new updates
+- new logo
+
+### In The Works 🚧
+- Appending streamlit into gradio-flow
+- Directory tree search that looks for files that contain classes and functions that are registered under the decorators that are in ``backend/src/resources`` allowing you to append all your registered functions with only using the frontend.
+
+
 
  ## App Architecture 🏗️
 ![architecture](https://github.com/commune-ai/Gradio-Flow/blob/gradio-flow/gradio-only/architecture.png)

backend/requirements.txt

@@ -61,10 +61,10 @@ six==1.16.0
 sniffio==1.2.0
 starlette==0.19.1
 gradioWrapper==0.0.4
-#tokenizers==0.12.1
-#torch==1.12.0
+tokenizers==0.12.1
+torch==1.12.0
 tqdm==4.64.0
-#transformers==4.20.1
+transformers==4.20.1
 typing_extensions==4.3.0
 uc-micro-py==1.0.1
 urllib3==1.26.10

backend/src/demoE.py

@@ -1,3 +1,3 @@
 from example.examples import Pictionary, FSD, HelloWorld_2_0, stock_forecast
 
-Pictionary("./example/data/labels.txt", "./example/data/pytorch_model.bin").launch(live=True, listen=2000, port=3002)
+Pictionary("./example/data/labels.txt", "./example/data/pytorch_model.bin").launch(live=True, listen=2000)

backend/src/resources/module.py

@@ -9,7 +9,7 @@ class Dock:
 
     def __init__(self) -> None:
             self.num_ports = 20
-            self.port_range = (3002, 8000)
+            self.port_range = (7860, 7880)
 
     def portConnection(self, port : int):
             s = socket.socket(
@@ -22,7 +22,6 @@ class Dock:
             trial_count = 0 
             while trial_count <= max_trial_count:
                 port=random.randint(*self.port_range)
-                print(port)
                 if not self.portConnection(port):
                     return port
                 trial_count += 1
@@ -34,9 +33,8 @@ DOCKER_PORT = Dock()
 
 def InterLauncher(name, interface, listen=2000, **kwargs):
     port= kwargs["port"] if "port" in kwargs else DOCKER_PORT.determinePort()
-    print(listen)
     try:
-        requests.post(f"http://{DOCKER_LOCAL_HOST}:{listen}/api/append/port", json={"port" : port, "host" : f'http://localhost:{port}', "file" : "Not Applicable", "name" : {name}, "kwargs" : kwargs})
+        requests.post(f"http://{DOCKER_LOCAL_HOST}:{listen}/api/append/port", json={"port" : port, "host" : f'http://localhost:{port}', "file" : "Not Applicable", "name" : name, "kwargs" : kwargs})
     except Exception as e:
         print(f"**{bcolor.BOLD}{bcolor.FAIL}CONNECTION ERROR{bcolor.ENDC}** 🐛The listening api is either not up or you choose the wrong port.🐛 \n {e}")
         return
@@ -214,7 +212,6 @@ def GradioModule(cls):
                 fn = getattr(self.__cls__, func, None)
                 
                 if callable(fn) and not func.startswith("__") and  "__decorator__" in dir(fn) and fn.__decorator__ == "__gradio__":
-                    print(func,  callable(fn))
                     fn()
 
         def __compile(self):