******************************************************************************** Step 1 ******************************************************************************** ------Action------ THOUGHT: None ACTION TYPE: None ACTION CONTENT: None -----Response----- RESPONSE (User Message): USER QUERY: I recently heard about a film released in 2021 named 'CODA', and I am curious to learn more about it. Once the needed details, including title, release year, genre and its director, have been collected, I'd appreciate it if you could compose a brief summary or abstract of this movie. Following that, could you answer this for me: Who is the director of CODA? Any files mentioned in the query will be located at /root/input_data. E.g. if the query mentions example.png, it will be located at /root/input_data/example.png. Use the code base located at `/root/mnm/mnm` to solve this query. Your current directory is `/root/playground`. If the import path in retrieved code block says `testing/dir_name/file_name.py` and you want to import variable, function or class called `obj` from this file, then import using `from testing.dir_name.file_name import obj`. The code base path has either been installed via pip or has been already been added to the system path via ``` import sys sys.path.extend(['/root/mnm']) ``` ******************************************************************************** Step 2 ******************************************************************************** ------Action------ THOUGHT: First, I need to find a function in the `mnm` codebase that can retrieve factual information about movies. This function will likely be used to get details about the film 'CODA' released in 2021. Once I have the details, I can look for a function that can generate a summary or abstract based on the information retrieved. Finally, I will extract the director's name from the information to answer the user's specific question. ACTION TYPE: search ACTION CONTENT: text: movie AND (text: details OR text: information) -----Response----- RESPONSE (Retrieval Result): QUERY: text: movie AND (text: details OR text: information) CODE BLOCKS: --- file_path=mnm/tool_api.py lines=[943, 971] type=FUNCTION content={ def search_movie(movie_title: str, movie_year: str, ckpt=None): """ Retrieve basic movie information, including title, year, genre, and director. """ # paren_start = input['movie_title'].find('(') url = "http://www.omdbapi.com/" params = { "t": movie_title, "y": movie_year, "plot": "short", "r": "json", "apikey": OMDB_API_KEY, } response = requests.get(url, params=params) result_formatted = response.json() selected_keys = ["Title", "Year", "Genre", "Director", "Plot"] desc = "" if len(result_formatted) > 0: for k, v in result_formatted.items(): # print(k, v) if k in selected_keys and len(v) > 0: desc += f"{k}: {v}\n" else: desc = "Movie not found!" result_formatted = {"text": desc} return result_formatted } --- file_path=mnm/tool_api.py lines=[973, 983] type=FUNCTION content={ def get_weather(lon: str, lat: str, ckpt=None): """ Provides weather forecast data based on specific geographical coordinates. """ url = "http://www.7timer.info/bin/api.pl" params = {"lon": lon, "lat": lat, "product": "civil", "output": "json"} response = requests.get(url, params=params) result_formatted = {"objects": response.json()["dataseries"]} return result_formatted } --- file_path=mnm/tool_api.py lines=[111, 141] type=FUNCTION content={ def text_generation(text: str, ckpt=MODEL_SELECTION['text_generation']): """ Generates a continuation of the given input text using a specified language model. Args: text (str): The input text prompt to be continued. ckpt (str, optional): The identifier for the language model to be used. Defaults to the model specified in MODEL_SELECTION["text_generation"]. Returns: dict: A dictionary containing the generated text under the key 'text'. Raises: KeyError: If the OPENAI_API_KEY environment variable is not set. APIError: If the OpenAI API encounters an issue with the request. Examples: >>> generated_text = text_generation("Once upon a time") >>> print(generated_text) {'text': '...continued text from the model...'} """ ... } --- (9 additional code blocks not shown. Search again with the same query to see additional results.) Prototypes for the next 7 out of 8 classes/functions found in unexpanded results (search again with the same query to see details): def get_date_fact(date: str, ckpt=None): ... # mnm/tool_api.py def image_crop(image, object, ckpt=None): ... # mnm/tool_api.py def get_math_fact(number: str, ckpt=None): ... # mnm/tool_api.py def get_year_fact(year: str, ckpt=None): ... # mnm/tool_api.py def get_trivia_fact(number: str, ckpt=None): ... # mnm/tool_api.py def color_pop(image, object, ckpt=None): ... # mnm/tool_api.py def background_blur(image, object, ckpt=None): ... # mnm/tool_api.py ******************************************************************************** Step 3 ******************************************************************************** ------Action------ THOUGHT: The function `search_movie` from `tool_api.py` seems to be the right choice for retrieving information about the movie 'CODA'. It can provide the title, year, genre, director, and a short plot description. After obtaining the movie details, I can use the `text_generation` function to generate a summary or abstract of the movie. I will first use `search_movie` to get the details and then proceed to generate the summary. ACTION TYPE: code ACTION CONTENT: from mnm.tool_api import search_movie, text_generation # Retrieve movie information movie_info = search_movie(movie_title='CODA', movie_year='2021') # Check if the movie information was found before proceeding if "Movie not found!" not in movie_info['text']: # Generate a summary or abstract of the movie movie_summary = text_generation(text=movie_info['text']) else: movie_summary = {"text": "Summary not available as movie information could not be found."} -----Response----- RESPONSE (Execution Result): STDOUT: {'text': 'f leaving her family behind. With the help of her music teacher and newfound friends, Ruby learns to navigate the challenges of being caught between two worlds and ultimately discovers the power of her own voice. CODA tells a heartwarming and humorous story about family, love, and following your dreams.'} RELEVANT VARIABLES (only shown if string rep. has changed after code exec): {"search_movie": , "text_generation": , "movie_info": {'text': "Title: CODA\nYear: 2021\nGenre: Comedy, Drama, Music\nDirector: Sian Heder\nPlot: As a CODA (Child of Deaf Adults) Ruby is the only hearing person in her deaf family. When the family's fishing business is threatened, Ruby finds herself torn between pursuing her passion at Berklee College of Music and her fear o...\n"}, "movie_summary": {'text': 'f leaving her family behind. With the help of her music teacher and newfound friends, Ruby learns to navigate the challenges of being caught between two worlds and ultimately discovers the power of her own voice. CODA tells a heartwarming and humorous story about family, love, and following your dreams.'}} ******************************************************************************** Step 4 ******************************************************************************** ------Action------ THOUGHT: The movie information has been successfully retrieved and a summary has been generated. The director of 'CODA' is Sian Heder, as extracted from the movie information. I will now provide a code summary of the solution. ACTION TYPE: code_summary ACTION CONTENT: from mnm.tool_api import search_movie, text_generation movie_info = search_movie(movie_title='CODA', movie_year='2021') movie_summary = text_generation(text=movie_info['text']) -----Response----- RESPONSE (User Message): Summary received and stored. ******************************************************************************** Step 5 ******************************************************************************** ------Action------ THOUGHT: The task has been completed successfully. The user has received and stored the summary. ACTION TYPE: done ACTION CONTENT: True -----Response----- None