Spaces:
Sleeping
Sleeping
Fix: try to remove proxy
Browse files
app.py
CHANGED
@@ -67,7 +67,7 @@ class DemoRunner:
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return lmp_planner
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-
def setup(self, api_key, n_blocks, n_bowls,
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openai.api_key = api_key
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# self._env = PickPlaceEnv(render=True, high_res=True, high_frame_rate=False)
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@@ -112,18 +112,14 @@ class DemoRunner:
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return self._md_logger.get_log(), None, video_file_name
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def setup(api_key, n_blocks, n_bowls,
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if not api_key:
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return 'Please enter your OpenAI API key!', None, None
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if n_blocks + n_bowls == 0:
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return 'Please select at least one object!', None, None
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if proxy_addr is not None and "http://" in proxy_addr:
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openai.proxy = proxy_addr
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elif proxy_addr is not None:
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openai.proxy = f"http://{proxy_addr}"
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-
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# ip_status, ip_info = get_geoip(openai.proxy)
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# if ip_status == -1:
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# return ip_info, None, None
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@@ -141,7 +137,7 @@ def setup(api_key, n_blocks, n_bowls, proxy_addr, cfg_choice):
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demo_runner = DemoRunner(cfg_file)
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info, img = demo_runner.setup(api_key, n_blocks, n_bowls,
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return info, img, demo_runner
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@@ -166,7 +162,7 @@ if __name__ == '__main__':
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with gr.Column():
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with gr.Column():
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inp_api_key = gr.Textbox(label='OpenAI API Key (this is not stored anywhere)', lines=1)
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-
inp_proxy_addr = gr.Textbox(label='Your local proxy address', lines=1)
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inp_cfg = gr.Dropdown(label='Configuration', choices=['voxposer', 'agibot'])
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with gr.Row():
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inp_n_blocks = gr.Slider(label='Number of Blocks', minimum=0, maximum=4, value=3, step=1)
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@@ -187,7 +183,7 @@ if __name__ == '__main__':
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btn_setup.click(
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setup,
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inputs=[inp_api_key, inp_n_blocks, inp_n_bowls,
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outputs=[info_setup, img_setup, state]
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)
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btn_run.click(
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return lmp_planner
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+
def setup(self, api_key, n_blocks, n_bowls, cfg_choice):
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openai.api_key = api_key
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# self._env = PickPlaceEnv(render=True, high_res=True, high_frame_rate=False)
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return self._md_logger.get_log(), None, video_file_name
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def setup(api_key, n_blocks, n_bowls, cfg_choice):
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if not api_key:
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return 'Please enter your OpenAI API key!', None, None
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if n_blocks + n_bowls == 0:
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return 'Please select at least one object!', None, None
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# ip_status, ip_info = get_geoip(openai.proxy)
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# if ip_status == -1:
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# return ip_info, None, None
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demo_runner = DemoRunner(cfg_file)
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info, img = demo_runner.setup(api_key, n_blocks, n_bowls, cfg_choice)
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return info, img, demo_runner
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with gr.Column():
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with gr.Column():
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inp_api_key = gr.Textbox(label='OpenAI API Key (this is not stored anywhere)', lines=1)
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# inp_proxy_addr = gr.Textbox(label='Your local proxy address', lines=1)
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inp_cfg = gr.Dropdown(label='Configuration', choices=['voxposer', 'agibot'])
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with gr.Row():
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inp_n_blocks = gr.Slider(label='Number of Blocks', minimum=0, maximum=4, value=3, step=1)
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btn_setup.click(
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setup,
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inputs=[inp_api_key, inp_n_blocks, inp_n_bowls, inp_cfg],
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outputs=[info_setup, img_setup, state]
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)
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btn_run.click(
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lmp.py
CHANGED
@@ -57,7 +57,7 @@ class LMP:
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temperature=self._cfg['temperature'],
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model=self._cfg['model'],
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max_tokens=self._cfg['max_tokens'],
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-
proxy=openai.proxy,
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)
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code_str = response.json()["choices"][0]["message"]['content']
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@@ -114,7 +114,7 @@ class LMPFGen:
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temperature=self._cfg['temperature'],
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model=self._cfg['model'],
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max_tokens=self._cfg['max_tokens'],
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-
proxy=openai.proxy,
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)
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f_src = response.json()["choices"][0]["message"]['content']
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temperature=self._cfg['temperature'],
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model=self._cfg['model'],
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max_tokens=self._cfg['max_tokens'],
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# proxy=openai.proxy,
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)
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code_str = response.json()["choices"][0]["message"]['content']
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temperature=self._cfg['temperature'],
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model=self._cfg['model'],
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max_tokens=self._cfg['max_tokens'],
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# proxy=openai.proxy,
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)
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f_src = response.json()["choices"][0]["message"]['content']
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utils.py
CHANGED
@@ -70,7 +70,7 @@ def get_geoip(proxy=None):
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return 1, text
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-
@retry(wait=wait_random_exponential(multiplier=1, max=
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def chat_completion_request(
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messages,
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functions=None,
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@@ -91,18 +91,18 @@ def chat_completion_request(
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json_data.update({"function_call": function_call})
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if kwargs is not None:
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json_data.update(kwargs)
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with retrieve_proxy(proxy):
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-
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def generate_messages(prompt):
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return 1, text
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@retry(wait=wait_random_exponential(multiplier=1, max=3), stop=stop_after_attempt(5))
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def chat_completion_request(
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messages,
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functions=None,
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json_data.update({"function_call": function_call})
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if kwargs is not None:
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json_data.update(kwargs)
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# with retrieve_proxy(proxy):
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try:
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response = requests.post(
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"https://api.openai.com/v1/chat/completions",
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headers=headers,
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json=json_data,
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)
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return response
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except Exception as e:
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print("Unable to generate ChatCompletion response")
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print(f"Exception: {e}")
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return e
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def generate_messages(prompt):
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