PROMPT: user: write me a py script that sends a get to  https://yuntian-deng-chatgpt4.hf.space/queue/data?session_hash=26vb4jk6379\nassistant: Certainly! Below is a simple Python script that uses the `requests` library to send a GET request to the specified URL. Make sure you have the `requests` library installed. You can install it using pip if you haven't already:\n\n\n```bash\npip install requests\n```\n\n\nHere's the script:\n\n\n```python\nimport requests\n\ndef send_get_request(url):\n    try:\n        response = requests.get(url)\n        \n        # Check if the request was successful (status code 200)\n        if response.status_code == 200:\n            print("Success:")\n            print(response.json())  # Assuming the response is in JSON format\n        else:\n            print(f"Request failed with status code: {response.status_code}")\n            print(response.text)  # Print the response text for debugging\n\n    except requests.exceptions.RequestException as e:\n        print(f"An error occurred: {e}")\n\nif __name__ == "__main__":\n    url = "https://yuntian-deng-chatgpt4.hf.space/queue/data?session_hash=26vb4jk6379"\n    send_get_request(url)\n```\n\n\n### How to Use:\n1. Save the script in a file named `get_request.py`.\n2. Run the script using Python:\n\n   \n```bash\npython get_request.py\n```\n\n\nThis script will send a GET request to the specified URL and print the response. If the response is successful, it will print the JSON data; otherwise, it will print the error details.\nuser: with headers: accept: text/event-stream accept-encoding: gzip, deflate, br, zstd accept-language:                       en-US,en;q=0.7 cache-control: no-cache content-type: application/json pragma: no-cache priority: u=1, i referer: https://yuntian-deng-chatgpt4.hf.space/ sec-ch-ua: "Brave";v="129", "Not=A?Brand";v="8", "Chromium";v="129" sec-ch-ua-mobile: ?0 sec-ch-ua-platform: "Windows" sec-fetch-dest: empty sec-fetch-mode: cors sec-fetch-site: same-origin sec-gpc: 1 user-agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36 and this param:  session_hash: 26vb4jk6379 then make it print the response text\nassistant: Sure! Below is the updated Python script that includes the specified headers and sends a GET request to the provided URL, printing the response text.\n\nHere is the modified script:\n\n\n```python\nimport requests\n\ndef send_get_request(url):\n    headers = {\n        'Accept': 'text/event-stream',\n        'Accept-Encoding': 'gzip, deflate, br, zstd',\n        'Accept-Language': 'en-US,en;q=0.7',\n        'Cache-Control': 'no-cache',\n        'Content-Type': 'application/json',\n        'Pragma': 'no-cache',\n        'Priority': 'u=1, i',\n        'Referer': 'https://yuntian-deng-chatgpt4.hf.space/',\n        'Sec-CH-UA': '"Brave";v="129", "Not=A?Brand";v="8", "Chromium";v="129"',\n        'Sec-CH-UA-Mobile': '?0',\n        'Sec-CH-UA-Platform': '"Windows"',\n        'Sec-Fetch-Dest': 'empty',\n        'Sec-Fetch-Mode': 'cors',\n        'Sec-Fetch-Site': 'same-origin',\n        'Sec-GPC': '1',\n        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36'\n    }\n    \n    params = {\n        'session_hash': '26vb4jk6379'\n    }\n\n    try:\n        response = requests.get(url, headers=headers, params=params)\n\n        # Print the response text\n        print("Response Text:")\n        print(response.text)  # Print the raw response text\n\n        # Check if the request was successful (status code 200)\n        if response.status_code == 200:\n            print("Request was successful!")\n        else:\n            print(f"Request failed with status code: {response.status_code}")\n\n    except requests.exceptions.RequestException as e:\n        print(f"An error occurred: {e}")\n\nif __name__ == "__main__":\n    url = "https://yuntian-deng-chatgpt4.hf.space/queue/data"\n    send_get_request(url)\n```\n\n\n### Instructions to Use:\n1. Save the script in a file named `get_request.py`.\n2. Make sure you have the `requests` library installed (you can run `pip install requests` if it's not installed).\n3. Run the script using Python:\n\n\n```bash\npython get_request.py\n```\n\n\n### What the Script Does:\n- It sends a GET request to the specified URL with the provided headers and a query parameter (`session_hash`).\n- It prints the raw response text regardless of the status code and indicates whether the request was successful based on the status code.\nuser: make it first send a post to https://yuntian-deng-chatgpt4.hf.space/queue/join? with same headers, and payload: {data: ["hi", 1, 1, 0, [], []], event_data: null, fn_index: 3, trigger_id: 5,…} data :  ["hi", 1, 1, 0, [], []] event_data :  null fn_index :  3 session_hash :  "26vb4jk6379" trigger_id :  5  where hi is the input from the user\nassistant: Certainly! Below is an updated Python script that first sends a POST request to `https://yuntian-deng-chatgpt4.hf.space/queue/join?` with the specified headers and payload. It includes user input for the `hi` value and then sends a GET request to the given URL.\n\nHere's the modified script:\n\n\n```python\nimport requests\n\ndef send_post_request(post_url, headers, payload):\n    try:\n        response = requests.post(post_url, headers=headers, json=payload)\n\n        # Print the response text from the POST request\n        print("POST Response Text:")\n        print(response.text)  # Print the raw response text\n        \n        if response.status_code == 200:\n            print("POST request was successful!")\n        else:\n            print(f"POST request failed with status code: {response.status_code}")\n\n    except requests.exceptions.RequestException as e:\n        print(f"An error occurred during POST: {e}")\n\ndef send_get_request(get_url, headers):\n    try:\n        response = requests.get(get_url, headers=headers)\n\n        # Print the response text from the GET request\n        print("GET Response Text:")\n        print(response.text)  # Print the raw response text\n        \n        if response.status_code == 200:\n            print("GET request was successful!")\n        else:\n            print(f"GET request failed with status code: {response.status_code}")\n\n    except requests.exceptions.RequestException as e:\n        print(f"An error occurred during GET: {e}")\n\nif __name__ == "__main__":\n    # Prepare URLs\n    post_url = "https://yuntian-deng-chatgpt4.hf.space/queue/join"\n    get_url = "https://yuntian-deng-chatgpt4.hf.space/queue/data"\n\n    # Headers for the requests\n    headers = {\n        'Accept': 'text/event-stream',\n        'Accept-Encoding': 'gzip, deflate, br, zstd',\n        'Accept-Language': 'en-US,en;q=0.7',\n        'Cache-Control': 'no-cache',\n        'Content-Type': 'application/json',\n        'Pragma': 'no-cache',\n        'Referer': 'https://yuntian-deng-chatgpt4.hf.space/',\n        'Sec-CH-UA': '"Brave";v="129", "Not=A?Brand";v="8", "Chromium";v="129"',\n        'Sec-CH-UA-Mobile': '?0',\n        'Sec-CH-UA-Platform': '"Windows"',\n        'Sec-Fetch-Dest': 'empty',\n        'Sec-Fetch-Mode': 'cors',\n        'Sec-Fetch-Site': 'same-origin',\n        'Sec-GPC': '1',\n        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36'\n    }\n\n    # User input for the payload\n    hi_input = input("Please enter a text input (for 'hi'): ")\n\n    # Payload for the POST request\n    payload = {\n        "data": [hi_input, 1, 1, 0, [], []],\n        "event_data": None,\n        "fn_index": 3,\n        "session_hash": "26vb4jk6379",\n        "trigger_id": 5\n    }\n\n    # Send the POST request first\n    send_post_request(post_url, headers, payload)\n\n    # Then send the GET request\n    send_get_request(get_url, headers)\n```\n\n\n### Instructions to Use:\n1. Save the script in a file named `request_script.py`.\n2. Make sure you have the `requests` library installed (you can run `pip install requests` if it's not installed).\n3. Run the script using Python:\n\n   \n```bash\npython request_script.py\n```\n\n\n### Functionality:\n- The script first prompts the user to enter a value for `hi`, which will be included in the POST request's payload.\n- It sends a POST request to the specified URL with the defined headers and payload.\n- After the POST request, it sends a GET request to the other specified URL with the same headers and prints the raw responses from both requests.\nuser: for the get include this param: session_hash: 26vb4jk6379\nassistant: Certainly! I've updated the GET request section of the script to include the `session_hash` parameter. Here's the revised script:\n\n\n```python\nimport requests\n\ndef send_post_request(post_url, headers, payload):\n    try:\n        response = requests.post(post_url, headers=headers, json=payload)\n\n        # Print the response text from the POST request\n        print("POST Response Text:")\n        print(response.text)  # Print the raw response text\n        \n        if response.status_code == 200:\n            print("POST request was successful!")\n        else:\n            print(f"POST request failed with status code: {response.status_code}")\n\n    except requests.exceptions.RequestException as e:\n        print(f"An error occurred during POST: {e}")\n\ndef send_get_request(get_url, headers, params):\n    try:\n        response = requests.get(get_url, headers=headers, params=params)\n\n        # Print the response text from the GET request\n        print("GET Response Text:")\n        print(response.text)  # Print the raw response text\n        \n        if response.status_code == 200:\n            print("GET request was successful!")\n        else:\n            print(f"GET request failed with status code: {response.status_code}")\n\n    except requests.exceptions.RequestException as e:\n        print(f"An error occurred during GET: {e}")\n\nif __name__ == "__main__":\n    # Prepare URLs\n    post_url = "https://yuntian-deng-chatgpt4.hf.space/queue/join"\n    get_url = "https://yuntian-deng-chatgpt4.hf.space/queue/data"\n\n    # Headers for the requests\n    headers = {\n        'Accept': 'text/event-stream',\n        'Accept-Encoding': 'gzip, deflate, br, zstd',\n        'Accept-Language': 'en-US,en;q=0.7',\n        'Cache-Control': 'no-cache',\n        'Content-Type': 'application/json',\n        'Pragma': 'no-cache',\n        'Referer': 'https://yuntian-deng-chatgpt4.hf.space/',\n        'Sec-CH-UA': '"Brave";v="129", "Not=A?Brand";v="8", "Chromium";v="129"',\n        'Sec-CH-UA-Mobile': '?0',\n        'Sec-CH-UA-Platform': '"Windows"',\n        'Sec-Fetch-Dest': 'empty',\n        'Sec-Fetch-Mode': 'cors',\n        'Sec-Fetch-Site': 'same-origin',\n        'Sec-GPC': '1',\n        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36'\n    }\n\n    # User input for the payload\n    hi_input = input("Please enter a text input (for 'hi'): ")\n\n    # Payload for the POST request\n    payload = {\n        "data": [hi_input, 1, 1, 0, [], []],\n        "event_data": None,\n        "fn_index": 3,\n        "session_hash": "26vb4jk6379", \n        "trigger_id": 5\n    }\n\n    # Send the POST request first\n    send_post_request(post_url, headers, payload)\n\n    # Prepare parameters for the GET request, including session_hash\n    params = {\n        'session_hash': '26vb4jk6379'\n    }\n\n    # Then send the GET request\n    send_get_request(get_url, headers, params)\n```\n\n\n### Instructions to Use:\n1. Save the script in a file named `request_script.py`.\n2. Ensure you have the `requests` library installed (you can run `pip install requests` if it's not installed).\n3. Run the script using Python:\n\n   \n```bash\npython request_script.py\n```\n\n\n### Functionality:\n- The script prompts the user to enter a value for `hi`, which is then included in the POST request's payload.\n- It sends a POST request to the specified URL with the defined headers and payload.\n- After the POST request, it sends a GET request to another specified URL including the `session_hash` parameter and prints the raw responses from both requests.\nuser: then form the response text make it extract the part where the ai responds in this case its the "Hello how can i assist you today" or whatever: data: {"msg":"process_completed","event_id":"3250b10b16d64de5a7e9f6ab52a66a42","output":{"data":[[["hi","Hello! How can I assist you today?%22]],null,1,%22%3CResponse%20[200]%3E%22,{%22interactive%22:true,%22__type__%22:%22update%22},{%22interactive%22:true,%22__type__%22:%22update%22}],%22is_generating%22:false,%22duration%22:0.0007073879241943359,%22average_duration%22:0.011235129671410436,%22render_config%22:null,%22changed_state_ids%22:[]},%22success%22:true}%0D%0A%0D%0Adata:%20{%22msg%22:%22close_stream%22,%22event_id%22:null}\nassistant: Certainly! We can modify the script to extract the specific AI response message from the JSON structure returned in the response text. Below is the updated script that performs this extraction. It focuses on getting the part of the response that contains the AI's response message, such as "Hello! How can I assist you today?" based on the example you provided.\n\nHere's the modified code:\n\n\n```python\nimport requests\nimport json\nimport re\n\ndef send_post_request(post_url, headers, payload):\n    try:\n        response = requests.post(post_url, headers=headers, json=payload)\n\n        # Print the response text from the POST request\n        print("POST Response Text:")\n        print(response.text)  # Print the raw response text\n        \n        if response.status_code == 200:\n            print("POST request was successful!")\n        else:\n            print(f"POST request failed with status code: {response.status_code}")\n\n    except requests.exceptions.RequestException as e:\n        print(f"An error occurred during POST: {e}")\n\ndef send_get_request(get_url, headers, params):\n    try:\n        response = requests.get(get_url, headers=headers, params=params)\n\n        # Print the response text from the GET request\n        print("GET Response Text:")\n        print(response.text)  # Print the raw response text\n        \n        if response.status_code == 200:\n            print("GET request was successful!")\n            return response.text  # Return the response for further processing\n        else:\n            print(f"GET request failed with status code: {response.status_code}")\n            return None\n\n    except requests.exceptions.RequestException as e:\n        print(f"An error occurred during GET: {e}")\n        return None\n\ndef extract_ai_response(response_text):\n    # Use regex to find the relevant data section\n    match = re.search(r'data:\s*{"msg":"process_completed".*?"output":({.*?})', response_text)\n    if match:\n        output = match.group(1)\n        try:\n            # Load the JSON data from the matched output\n            output_data = json.loads(output)\n            # The AI response is nested in the output\n            ai_response = output_data.get('data', [])[0][0][1]\n            return ai_response\n        except (ValueError, IndexError) as e:\n            print(f"Error parsing response: {e}")\n            return None\n    return None\n\nif __name__ == "__main__":\n    # Prepare URLs\n    post_url = "https://yuntian-deng-chatgpt4.hf.space/queue/join"\n    get_url = "https://yuntian-deng-chatgpt4.hf.space/queue/data"\n\n    # Headers for the requests\n    headers = {\n        'Accept': 'text/event-stream',\n        'Accept-Encoding': 'gzip, deflate, br, zstd',\n        'Accept-Language': 'en-US,en;q=0.7',\n        'Cache-Control': 'no-cache',\n        'Content-Type': 'application/json',\n        'Pragma': 'no-cache',\n        'Referer': 'https://yuntian-deng-chatgpt4.hf.space/',\n        'Sec-CH-UA': '"Brave";v="129", "Not=A?Brand";v="8", "Chromium";v="129"',\n        'Sec-CH-UA-Mobile': '?0',\n        'Sec-CH-UA-Platform': '"Windows"',\n        'Sec-Fetch-Dest': 'empty',\n        'Sec-Fetch-Mode': 'cors',\n        'Sec-Fetch-Site': 'same-origin',\n        'Sec-GPC': '1',\n        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36'\n    }\n\n    # User input for the payload\n    hi_input = input("Please enter a text input (for 'hi'): ")\n\n    # Payload for the POST request\n    payload = {\n        "data": [hi_input, 1, 1, 0, [], []],\n        "event_data": None,\n        "fn_index": 3,\n        "session_hash": "26vb4jk6379", \n        "trigger_id": 5\n    }\n\n    # Send the POST request first\n    send_post_request(post_url, headers, payload)\n\n    # Prepare parameters for the GET request, including session_hash\n    params = {\n        'session_hash': '26vb4jk6379'\n    }\n\n    # Then send the GET request\n    response_text = send_get_request(get_url, headers, params)\n\n    # Extract the AI response from the GET response\n    if response_text:\n        ai_response = extract_ai_response(response_text)\n        if ai_response:\n            print("AI Response:")\n            print(ai_response)\n        else:\n            print("Could not extract AI response.")\n```\n\n\n### Instructions to Use:\n1. Save the script in a file named `request_script.py`.\n2. Ensure you have the `requests` library installed (you can run `pip install requests` if it's not installed).\n3. Run the script using Python:\n   \n```bash\npython request_script.py\n```\n\n\n### Functionality:\n- The script first prompts the user to enter a value for `hi`, which is included in the POST request's payload.\n- It sends the POST request to the specified URL with the defined headers and payload.\n- After the POST request, it sends a GET request to another specified URL, including the `session_hash` parameter.\n- Finally, it extracts the relevant AI response message from the GET response using a regular expression and prints it. The AI response is accessed from within the nested JSON structure based on the expected format provided.\nuser: Error parsing response: Expecting ',' delimiter: line 1 column 254 (char 253) Could not extract AI response. this is sample response: Please enter a text input (for 'hi'): hi whats your name POST Response Text: {"event_id":"84655dab0e914776812b905edb56ad54"} POST request was successful! GET Response Text: data: {"msg":"estimation","event_id":"84655dab0e914776812b905edb56ad54","rank":0,"queue_size":1,"rank_eta":4.763073016789334}  data: {"msg":"process_starts","event_id":"84655dab0e914776812b905edb56ad54","eta":4.763073016789334}  data: {"msg":"process_generating","event_id":"84655dab0e914776812b905edb56ad54","output":{"data":[[["hi","Hello! How can I assist you today?"],["hi","Hello! How can I assist you today?"],["hi","Hello! How can I assist you today?"],["hi","Hello! How can I assist you today?"],["hi whats your name","Hello! I don't have a name, but you can call me Assistant. How can I help you today?"],["hi whats your name","Hello"]],null,1,"<Response [200]>",{"interactive":false,"__type__":"update"},{"interactive":false,"__type__":"update"}],"is_generating":true,"duration":0.608057975769043,"average_duration":0.011252123374876712,"render_config":null,"changed_state_ids":[]},"success":true}  data: {"msg":"process_generating","event_id":"84655dab0e914776812b905edb56ad54","output":{"data":[[["append",[5,1],"!"]],[],[],[],[],[]],"is_generating":true,"duration":0.017747879028320312,"average_duration":0.011252133002811303,"render_config":null,"changed_state_ids":[]},"success":true}  data: {"msg":"process_generating","event_id":"84655dab0e914776812b905edb56ad54","output":{"data":[[["append",[5,1]," I"]],[],[],[],[],[]],"is_generating":true,"duration":0.0003409385681152344,"average_duration":0.011252116830387921,"render_config":null,"changed_state_ids":[]},"success":true}  data: 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I"]],[],[],[],[],[]],"is_generating":true,"duration":0.020642995834350586,"average_duration":0.011252011312413036,"render_config":null,"changed_state_ids":[]},"success":true}  data: {"msg":"process_generating","event_id":"84655dab0e914776812b905edb56ad54","output":{"data":[[["append",[5,1]," help"]],[],[],[],[],[]],"is_generating":true,"duration":0.0011603832244873047,"average_duration":0.011251996355116582,"render_config":null,"changed_state_ids":[]},"success":true}  data: {"msg":"process_generating","event_id":"84655dab0e914776812b905edb56ad54","output":{"data":[[["append",[5,1]," you"]],[],[],[],[],[]],"is_generating":true,"duration":0.0006520748138427734,"average_duration":0.011251980644476781,"render_config":null,"changed_state_ids":[]},"success":true}  data: {"msg":"process_generating","event_id":"84655dab0e914776812b905edb56ad54","output":{"data":[[["append",[5,1]," today"]],[],[],[],[],[]],"is_generating":true,"duration":0.00041866302490234375,"average_duration":0.011251964587933528,"render_config":null,"changed_state_ids":[]},"success":true}  data: {"msg":"process_generating","event_id":"84655dab0e914776812b905edb56ad54","output":{"data":[[["append",[5,1],"?"]],[],[],[],[],[]],"is_generating":true,"duration":0.0004138946533203125,"average_duration":0.011251948524370467,"render_config":null,"changed_state_ids":[]},"success":true}  data: {"msg":"process_generating","event_id":"84655dab0e914776812b905edb56ad54","output":{"data":[[],[],[],[],[["replace",["interactive"],true]],[["replace",["interactive"],true]]],"is_generating":true,"duration":0.026589155197143555,"average_duration":0.011251971256261192,"render_config":null,"changed_state_ids":[]},"success":true}  data: {"msg":"process_completed","event_id":"84655dab0e914776812b905edb56ad54","output":{"data":[[["hi","Hello! How can I assist you today?"],["hi","Hello! How can I assist you today?"],["hi","Hello! How can I assist you today?"],["hi","Hello! How can I assist you today?"],["hi whats your name","Hello! I don't have a name, but you can call me Assistant. How can I help you today?"],["hi whats your name","Hello! I don't have a personal name, but you can call me Assistant. How can I help you today?"]],null,1,"<Response [200]>",{"interactive":true,"__type__":"update"},{"interactive":true,"__type__":"update"}],"is_generating":false,"duration":0.0005464553833007812,"average_duration":0.01125195538920916,"render_config":null,"changed_state_ids":[]},"success":true}  data: {"msg":"close_stream","event_id":null}   GET request was successful! Error parsing response: Expecting ',' delimiter: line 1 column 483 (char 482) Could not extract AI response\nassistant: It looks like the response from the server includes multiple pieces of data, separated by "data: " prefixes. Given your sample response, we need to properly handle this multi-part response and extract the relevant AI output, specifically when the "msg" field indicates "process_completed".\n\nI will revise the extraction function to correctly handle the response and parse the necessary part. Here's the updated script:\n\n\n```python\nimport requests\nimport json\nimport re\n\ndef send_post_request(post_url, headers, payload):\n    try:\n        response = requests.post(post_url, headers=headers, json=payload)\n\n        # Print the response text from the POST request\n        print("POST Response Text:")\n        print(response.text)  # Print the raw response text\n        \n        if response.status_code == 200:\n            print("POST request was successful!")\n        else:\n            print(f"POST request failed with status code: {response.status_code}")\n\n    except requests.exceptions.RequestException as e:\n        print(f"An error occurred during POST: {e}")\n\ndef send_get_request(get_url, headers, params):\n    try:\n        response = requests.get(get_url, headers=headers, params=params)\n\n        # Print the response text from the GET request\n        print("GET Response Text:")\n        print(response.text)  # Print the raw response text\n        \n        if response.status_code == 200:\n            print("GET request was successful!")\n            return response.text  # Return the response for further processing\n        else:\n            print(f"GET request failed with status code: {response.status_code}")\n            return None\n\n    except requests.exceptions.RequestException as e:\n        print(f"An error occurred during GET: {e}")\n        return None\n\ndef extract_ai_response(response_text):\n    ai_responses = []\n    \n    # Split the response based on "data: "\n    parts = response_text.split('data: ')\n    \n    for part in parts:\n        if 'process_completed' in part:\n            try:\n                # Extract the output JSON\n                json_part = re.search(r'{"msg":"process_completed".*}', part)\n                if json_part:\n                    output_data = json.loads(json_part.group(0))\n                    # Get the AI message from the output field\n                    ai_messages = output_data['output']['data']\n                    for message in ai_messages:\n                        # It seems the AI response is among the nested lists\n                        if isinstance(message, list) and len(message) > 0:\n                            # The second item in the first sub-list seems to be the response\n                            ai_response = message[0][1]\n                            ai_responses.append(ai_response)\n            except (ValueError, IndexError) as e:\n                print(f"Error parsing response: {e}")\n\n    return ai_responses\n\nif __name__ == "__main__":\n    # Prepare URLs\n    post_url = "https://yuntian-deng-chatgpt4.hf.space/queue/join"\n    get_url = "https://yuntian-deng-chatgpt4.hf.space/queue/data"\n\n    # Headers for the requests\n    headers = {\n        'Accept': 'text/event-stream',\n        'Accept-Encoding': 'gzip, deflate, br, zstd',\n        'Accept-Language': 'en-US,en;q=0.7',\n        'Cache-Control': 'no-cache',\n        'Content-Type': 'application/json',\n        'Pragma': 'no-cache',\n        'Referer': 'https://yuntian-deng-chatgpt4.hf.space/',\n        'Sec-CH-UA': '"Brave";v="129", "Not=A?Brand";v="8", "Chromium";v="129"',\n        'Sec-CH-UA-Mobile': '?0',\n        'Sec-CH-UA-Platform': '"Windows"',\n        'Sec-Fetch-Dest': 'empty',\n        'Sec-Fetch-Mode': 'cors',\n        'Sec-Fetch-Site': 'same-origin',\n        'Sec-GPC': '1',\n        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36'\n    }\n\n    # User input for the payload\n    hi_input = input("Please enter a text input (for 'hi'): ")\n\n    # Payload for the POST request\n    payload = {\n        "data": [hi_input, 1, 1, 0, [], []],\n        "event_data": None,\n        "fn_index": 3,\n        "session_hash": "26vb4jk6379",\n        "trigger_id": 5\n    }\n\n    # Send the POST request first\n    send_post_request(post_url, headers, payload)\n\n    # Prepare parameters for the GET request, including session_hash\n    params = {\n        'session_hash': '26vb4jk6379'\n    }\n\n    # Then send the GET request\n    response_text = send_get_request(get_url, headers, params)\n\n    # Extract the AI response from the GET response\n    if response_text:\n        ai_responses = extract_ai_response(response_text)\n        if ai_responses:\n            print("AI Responses:")\n            for response in ai_responses:\n                print(response)\n        else:\n            print("Could not extract AI responses.")\n```\n\n\n### Changes Made:\n\n1. **Response Handling**: The `extract_ai_response` function now handles the multi-part data by splitting the response text and checking for `process_completed` messages.\n\n2. **Regex Usage**: I leveraged regex to find the relevant output part of the JSON string instead of assuming the method will always extract a full JSON object correctly.\n\n3. **Multiple Responses**: The function extracts any AI messages from the completed processes, printing them all.\n\nThis script should now be able to properly extract and display the AI responses based on the provided example. Please try running it again, and it should work more robustly now.\nuser: heres modified code, it doesnt send the users input text and always sends hi: import requests import json import re  def send_post_request(post_url, headers, payload):     try:         response = requests.post(post_url, headers=headers, json=payload)          # Print the response text from the POST request         #print("POST Response Text:")         #print(response.text)  # Print the raw response text                  if response.status_code == 200:             print("POST request was successful!")         else:             print(f"POST request failed with status code: {response.status_code}")      except requests.exceptions.RequestException as e:         print(f"An error occurred during POST: {e}")  def send_get_request(get_url, headers, params):     try:         response = requests.get(get_url, headers=headers, params=params)          # Print the response text from the GET request         #print("GET Response Text:")         #print(response.text)  # Print the raw response text                  if response.status_code == 200:             #print("GET request was successful!")             return response.text  # Return the response for further processing         else:             print(f"GET request failed with status code: {response.status_code}")             return None      except requests.exceptions.RequestException as e:         print(f"An error occurred during GET: {e}")         return None  def extract_ai_response(response_text):     ai_responses = []          # Split the response based on "data: "     parts = response_text.split('data: ')          for part in parts:         if 'process_completed' in part:             try:                 # Extract the output JSON                 json_part = re.search(r'{"msg":"process_completed".*}', part)                 if json_part:                     output_data = json.loads(json_part.group(0))                     # Get the AI message from the output field                     ai_messages = output_data['output']['data']                     for message in ai_messages:                         # It seems the AI response is among the nested lists                         if isinstance(message, list) and len(message) > 0:                             # The second item in the first sub-list seems to be the response                             ai_response = message[0][1]                             ai_responses.append(ai_response)             except (ValueError, IndexError) as e:                 print(f"Error parsing response: {e}")      return ai_responses  if __name__ == "__main__":     # Prepare URLs     post_url = "https://yuntian-deng-chatgpt4.hf.space/queue/join"     get_url = "https://yuntian-deng-chatgpt4.hf.space/queue/data"      # Headers for the requests     headers = {         'Accept': 'text/event-stream',         'Accept-Encoding': 'gzip, deflate, br, zstd',         'Accept-Language': 'en-US,en;q=0.7',         'Cache-Control': 'no-cache',         'Content-Type': 'application/json',         'Pragma': 'no-cache',         'Referer': 'https://yuntian-deng-chatgpt4.hf.space/',         'Sec-CH-UA': '"Brave";v="129", "Not=A?Brand";v="8", "Chromium";v="129"',         'Sec-CH-UA-Mobile': '?0',         'Sec-CH-UA-Platform': '"Windows"',         'Sec-Fetch-Dest': 'empty',         'Sec-Fetch-Mode': 'cors',         'Sec-Fetch-Site': 'same-origin',         'Sec-GPC': '1',         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36'     }      # User input for the payload     hi_input = input("Please enter a text input (for 'hi'): ")      # Payload for the POST request     payload = {         "data": [hi_input, 1, 1, 0, [], []],         "event_data": None,         "fn_index": 3,         "session_hash": "26vb4jk6379",         "trigger_id": 5     }      # Send the POST request first     send_post_request(post_url, headers, payload)      # Prepare parameters for the GET request, including session_hash     params = {         'session_hash': '26vb4jk6379'     }      # Then send the GET request     response_text = send_get_request(get_url, headers, params)      # Extract the AI response from the GET response     if response_text:         ai_responses = extract_ai_response(response_text)         if ai_responses:             #print("AI Responses:")             for response in ai_responses:                 print(response)         else:             print("Could not extract AI responses.")