Make functional

app.py

@@ -1,137 +1,121 @@
 import os
+import shutil
 import gradio as gr
 from transformers import ReactCodeAgent, HfEngine, Tool
+import pandas as pd
 
 from gradio_agentchatbot import (
     AgentChatbot,
     stream_from_transformers_agent,
     ChatMessage,
+    ChatFileMessage,
 )
-from dotenv import load_dotenv
 from huggingface_hub import login
-from transformers.agents.default_tools import (
-    BASE_PYTHON_TOOLS,
-    LIST_SAFE_MODULES,
-    evaluate_python_code,
-)
+from gradio.data_classes import FileData
 
-# to load SerpAPI key
-load_dotenv()
 login(os.getenv("HUGGINGFACEHUB_API_TOKEN"))
 
-
-llm_engine = HfEngine(model="meta-llama/Meta-Llama-3-70B-Instruct")
-
-authorized_imports = ["numpy"]
+llm_engine = HfEngine("meta-llama/Meta-Llama-3-70B-Instruct")
 
 agent = ReactCodeAgent(
-    llm_engine=llm_engine,
     tools=[],
-    additional_authorized_imports=authorized_imports,
+    llm_engine=llm_engine,
+    additional_authorized_imports=["numpy", "pandas", "matplotlib.pyplot", "seaborn"],
     max_iterations=10,
 )
 
-class FinalAnswerToolWithVerification(Tool):
-    name = "final_answer"
-    description = "Provides a final answer to the given problem"
-    inputs = {
-        "answer": {"type": "text", "description": "The final answer to the problem"}
-    }
-    output_type = "any"
-
-    def forward(self, answer):
-        if "def test" not in answer:
-            raise Exception(
-                "I can only accept from you a code snippet answer that defines test functions in python, anything else will not work. PLEASE PROVIDE ME A FULL CODE SNIPPET CONTAINING THE DEFINITION OF THE TESTS."
-            )
-        return answer
-
-final_answer_tool = FinalAnswerToolWithVerification()
-
-agent._toolbox.update_tool(final_answer_tool)
-
-function = """import numpy as np
-def moving_average(x, w):
-    return np.convolve(x, np.ones(w), 'valid') / w"""
-
-task = """I will give you a basic function that I've created.
-Now I want you to generate a set of unit tests for these functions, check that they run, and give them to me.
-Please follow these steps in order:
-1. Define and run the function given o you, so that it gets defined in your interpreter.
-2. Generate one test function as a python blob, with assert statements
-3. Run the test function in a code snippet and make sure the tests pass
-4. Return to me the complete TEST function (not the original function) as a string code snippet.
----
-Example:
-Here is your function:
-```py
-def get_even_numbers(numbers):
-    even_numbers = []
-    for number in numbers:
-        if number % 2 == 0:
-            even_numbers.append(number)
-    return even_numbers
-```
-Now generate test functions for me!
-Thought: Let's re-define the given function and generate a test.
-Code:
-```py
-def get_even_numbers(numbers):
-    even_numbers = []
-    for number in numbers:
-        if number % 2 == 0:
-            even_numbers.append(number)
-    return even_numbers
-def test_get_even_numbers():
-    assert get_even_numbers([1, 2, 3, 4, 5]) == [2, 4]
-    print("No error found!")
-test_get_even_numbers()
-```
-Observation: "No error found!"
-Thought: the interpreter ran tests with no error. So we can return the function IN A TEXT SNIPPET.
-Code:
-```py
-fianl_answer_snippet = \"\"\"
-def test_get_even_numbers():
-    assert get_even_numbers([1, 2, 3, 4, 5]) == [2, 4]
-    print("No error found!")
-\"\"\"
-final_answer(final_answer_snippet)
-```
----
-Now proceed!
-Here is your function:
-```py
-<<function>>
-```
-Now generate test functions for me!
-"""
+base_prompt = """You are an expert data analyst.
+Please load the source file with pandas and analyze its content (you cannot use 'os' module).
+According to the features you have, begin by finding which feature should be the target.
+Then list 3 interesting questions that could be asked on this data, for instance about specific correlations with target variable.
+Then answer these questions one by one, by finding the relevant numbers.
+Meanwhile, plot some figures using matplotlib/seaborn and save them to the (already existing) folder './figures/': take care to clear each figure with plt.clf() before doing another plot.
+
+In your final answer: summarize these correlations and trends
+After each number derive real worlds insights, for instance: "Correlation between is_december and boredness is 1.3453, which suggest people are more bored in winter".
+Your final answer should be a long string with at least 3 numbered and detailed parts.
 
+source file = {source_file}
+"""
 
-def interact_with_agent(prompt):
-    full_prompt = task.replace("<<function>>", prompt)
-    messages = []
-    messages.append(ChatMessage(role="user", content=full_prompt))
+example_notes="""This data is about the Titanic wreck in 1912.
+The target figure is the survival of passengers, notes by 'Survived'
+pclass: A proxy for socio-economic status (SES)
+1st = Upper
+2nd = Middle
+3rd = Lower
+age: Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5
+sibsp: The dataset defines family relations in this way...
+Sibling = brother, sister, stepbrother, stepsister
+Spouse = husband, wife (mistresses and fiancés were ignored)
+parch: The dataset defines family relations in this way...
+Parent = mother, father
+Child = daughter, son, stepdaughter, stepson
+Some children travelled only with a nanny, therefore parch=0 for them."""
+
+def get_images_in_directory(directory):
+    image_extensions = {'.png', '.jpg', '.jpeg', '.gif', '.bmp', '.tiff'}
+
+    image_files = []
+    for root, dirs, files in os.walk(directory):
+        for file in files:
+            if os.path.splitext(file)[1].lower() in image_extensions:
+                image_files.append(os.path.join(root, file))
+    return image_files
+
+def interact_with_agent(file_input, additional_notes):
+    shutil.rmtree("./figures")
+    os.makedirs("./figures")
+
+    read_file = pd.read_csv(file_input)
+    data_structure_notes = f"""\nStructure of the data:
+    - Description (output of .describe()):
+    {read_file.describe()}
+    - Columns with dtypes:
+    {read_file.dtypes}
+    """
+    prompt = base_prompt + data_structure_notes
+
+    if additional_notes and len(additional_notes) > 0:
+        prompt += "\nAdditional notes on the data:\n" + additional_notes
+
+    messages = [ChatMessage(role="user", content=prompt, thought=True)]
     yield messages
-    for msg in stream_from_transformers_agent(agent, full_prompt):
+
+    plot_image_paths = {}
+    for msg in stream_from_transformers_agent(agent, prompt.format(source_file=file_input)):
         messages.append(msg)
+        for image_path in get_images_in_directory("./figures"):
+            if image_path not in plot_image_paths:
+                image_message = ChatFileMessage(
+                    role="assistant",
+                    file=FileData(path=image_path, mime_type="image/png"),
+                    content="",
+                    thought=True,
+                )
+                plot_image_paths[image_path] = True
+                messages.append(image_message)
         yield messages
     yield messages
 
 
 with gr.Blocks(theme="soft") as demo:
-    gr.Markdown("""### Python test generator
-Write your function in the left textbox, and the agent on the right will generate tests for you!""")
-    with gr.Row():
-        with gr.Column():
-            text_input = gr.Textbox(
-                lines=1, label="Your function to test", value=function
-            )
-            submit = gr.Button("Generate tests!")
-        with gr.Column():
-            chatbot = AgentChatbot(label="Agent")
-
-    submit.click(interact_with_agent, [text_input], [chatbot])
+    gr.Markdown("""# Llama-3.1 Data analyst
+
+Drop a `.csv` file to analyse, add notes if needed, and **Llama-3.1-70B will analyse the file content for you!**""")
+    file_input = gr.File(label="Your file to analyze")
+    text_input = gr.Textbox(
+        label="Additional notes to support the analysis"
+    )
+    submit = gr.Button("Run analysis!")
+    chatbot = AgentChatbot(label="Agent")
+    gr.Examples(
+        examples=[["./example/titanic.csv", example_notes]],
+        inputs=[file_input, text_input],
+        cache_examples=False
+    )
+
+    submit.click(interact_with_agent, [file_input, text_input], [chatbot])
 
 if __name__ == "__main__":
     demo.launch()

example/titanic.csv

@@ -0,0 +1,892 @@
+PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
+1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S
+2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C
+3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S
+4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S
+5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S
+6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q
+7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S
+8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S
+9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S
+10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C
+11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S
+12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S
+13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S
+14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S
+15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S
+16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S
+17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q
+18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S
+19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S
+20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C
+21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S
+22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S
+23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q
+24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S
+25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S
+26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S
+27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C
+28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S
+29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q
+30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S
+31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C
+32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C
+33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q
+34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S
+35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C
+36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S
+37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C
+38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S
+39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S
+40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C
+41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S
+42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S
+43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C
+44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C
+45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q
+46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S
+47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q
+48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q
+49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C
+50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S
+51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S
+52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S
+53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C
+54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S
+55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65,0,1,113509,61.9792,B30,C
+56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S
+57,1,2,"Rugg, Miss. Emily",female,21,0,0,C.A. 31026,10.5,,S
+58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C
+59,1,2,"West, Miss. Constance Mirium",female,5,1,2,C.A. 34651,27.75,,S
+60,0,3,"Goodwin, Master. William Frederick",male,11,5,2,CA 2144,46.9,,S
+61,0,3,"Sirayanian, Mr. Orsen",male,22,0,0,2669,7.2292,,C
+62,1,1,"Icard, Miss. Amelie",female,38,0,0,113572,80,B28,
+63,0,1,"Harris, Mr. Henry Birkhardt",male,45,1,0,36973,83.475,C83,S
+64,0,3,"Skoog, Master. Harald",male,4,3,2,347088,27.9,,S
+65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C
+66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C
+67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29,0,0,C.A. 29395,10.5,F33,S
+68,0,3,"Crease, Mr. Ernest James",male,19,0,0,S.P. 3464,8.1583,,S
+69,1,3,"Andersson, Miss. Erna Alexandra",female,17,4,2,3101281,7.925,,S
+70,0,3,"Kink, Mr. Vincenz",male,26,2,0,315151,8.6625,,S
+71,0,2,"Jenkin, Mr. Stephen Curnow",male,32,0,0,C.A. 33111,10.5,,S
+72,0,3,"Goodwin, Miss. Lillian Amy",female,16,5,2,CA 2144,46.9,,S
+73,0,2,"Hood, Mr. Ambrose Jr",male,21,0,0,S.O.C. 14879,73.5,,S
+74,0,3,"Chronopoulos, Mr. Apostolos",male,26,1,0,2680,14.4542,,C
+75,1,3,"Bing, Mr. Lee",male,32,0,0,1601,56.4958,,S
+76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S
+77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S
+78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S
+79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29,,S
+80,1,3,"Dowdell, Miss. Elizabeth",female,30,0,0,364516,12.475,,S
+81,0,3,"Waelens, Mr. Achille",male,22,0,0,345767,9,,S
+82,1,3,"Sheerlinck, Mr. Jan Baptist",male,29,0,0,345779,9.5,,S
+83,1,3,"McDermott, Miss. Brigdet Delia",female,,0,0,330932,7.7875,,Q
+84,0,1,"Carrau, Mr. Francisco M",male,28,0,0,113059,47.1,,S
+85,1,2,"Ilett, Miss. Bertha",female,17,0,0,SO/C 14885,10.5,,S
+86,1,3,"Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)",female,33,3,0,3101278,15.85,,S
+87,0,3,"Ford, Mr. William Neal",male,16,1,3,W./C. 6608,34.375,,S
+88,0,3,"Slocovski, Mr. Selman Francis",male,,0,0,SOTON/OQ 392086,8.05,,S
+89,1,1,"Fortune, Miss. Mabel Helen",female,23,3,2,19950,263,C23 C25 C27,S
+90,0,3,"Celotti, Mr. Francesco",male,24,0,0,343275,8.05,,S
+91,0,3,"Christmann, Mr. Emil",male,29,0,0,343276,8.05,,S
+92,0,3,"Andreasson, Mr. Paul Edvin",male,20,0,0,347466,7.8542,,S
+93,0,1,"Chaffee, Mr. Herbert Fuller",male,46,1,0,W.E.P. 5734,61.175,E31,S
+94,0,3,"Dean, Mr. Bertram Frank",male,26,1,2,C.A. 2315,20.575,,S
+95,0,3,"Coxon, Mr. Daniel",male,59,0,0,364500,7.25,,S
+96,0,3,"Shorney, Mr. Charles Joseph",male,,0,0,374910,8.05,,S
+97,0,1,"Goldschmidt, Mr. George B",male,71,0,0,PC 17754,34.6542,A5,C
+98,1,1,"Greenfield, Mr. William Bertram",male,23,0,1,PC 17759,63.3583,D10 D12,C
+99,1,2,"Doling, Mrs. John T (Ada Julia Bone)",female,34,0,1,231919,23,,S
+100,0,2,"Kantor, Mr. Sinai",male,34,1,0,244367,26,,S
+101,0,3,"Petranec, Miss. Matilda",female,28,0,0,349245,7.8958,,S
+102,0,3,"Petroff, Mr. Pastcho (""Pentcho"")",male,,0,0,349215,7.8958,,S
+103,0,1,"White, Mr. Richard Frasar",male,21,0,1,35281,77.2875,D26,S
+104,0,3,"Johansson, Mr. Gustaf Joel",male,33,0,0,7540,8.6542,,S
+105,0,3,"Gustafsson, Mr. Anders Vilhelm",male,37,2,0,3101276,7.925,,S
+106,0,3,"Mionoff, Mr. Stoytcho",male,28,0,0,349207,7.8958,,S
+107,1,3,"Salkjelsvik, Miss. Anna Kristine",female,21,0,0,343120,7.65,,S
+108,1,3,"Moss, Mr. Albert Johan",male,,0,0,312991,7.775,,S
+109,0,3,"Rekic, Mr. Tido",male,38,0,0,349249,7.8958,,S
+110,1,3,"Moran, Miss. Bertha",female,,1,0,371110,24.15,,Q
+111,0,1,"Porter, Mr. Walter Chamberlain",male,47,0,0,110465,52,C110,S
+112,0,3,"Zabour, Miss. Hileni",female,14.5,1,0,2665,14.4542,,C
+113,0,3,"Barton, Mr. David John",male,22,0,0,324669,8.05,,S
+114,0,3,"Jussila, Miss. Katriina",female,20,1,0,4136,9.825,,S
+115,0,3,"Attalah, Miss. Malake",female,17,0,0,2627,14.4583,,C
+116,0,3,"Pekoniemi, Mr. Edvard",male,21,0,0,STON/O 2. 3101294,7.925,,S
+117,0,3,"Connors, Mr. Patrick",male,70.5,0,0,370369,7.75,,Q
+118,0,2,"Turpin, Mr. William John Robert",male,29,1,0,11668,21,,S
+119,0,1,"Baxter, Mr. Quigg Edmond",male,24,0,1,PC 17558,247.5208,B58 B60,C
+120,0,3,"Andersson, Miss. Ellis Anna Maria",female,2,4,2,347082,31.275,,S
+121,0,2,"Hickman, Mr. Stanley George",male,21,2,0,S.O.C. 14879,73.5,,S
+122,0,3,"Moore, Mr. Leonard Charles",male,,0,0,A4. 54510,8.05,,S
+123,0,2,"Nasser, Mr. Nicholas",male,32.5,1,0,237736,30.0708,,C
+124,1,2,"Webber, Miss. Susan",female,32.5,0,0,27267,13,E101,S
+125,0,1,"White, Mr. Percival Wayland",male,54,0,1,35281,77.2875,D26,S
+126,1,3,"Nicola-Yarred, Master. Elias",male,12,1,0,2651,11.2417,,C
+127,0,3,"McMahon, Mr. Martin",male,,0,0,370372,7.75,,Q
+128,1,3,"Madsen, Mr. Fridtjof Arne",male,24,0,0,C 17369,7.1417,,S
+129,1,3,"Peter, Miss. Anna",female,,1,1,2668,22.3583,F E69,C
+130,0,3,"Ekstrom, Mr. Johan",male,45,0,0,347061,6.975,,S
+131,0,3,"Drazenoic, Mr. Jozef",male,33,0,0,349241,7.8958,,C
+132,0,3,"Coelho, Mr. Domingos Fernandeo",male,20,0,0,SOTON/O.Q. 3101307,7.05,,S
+133,0,3,"Robins, Mrs. Alexander A (Grace Charity Laury)",female,47,1,0,A/5. 3337,14.5,,S
+134,1,2,"Weisz, Mrs. Leopold (Mathilde Francoise Pede)",female,29,1,0,228414,26,,S
+135,0,2,"Sobey, Mr. Samuel James Hayden",male,25,0,0,C.A. 29178,13,,S
+136,0,2,"Richard, Mr. Emile",male,23,0,0,SC/PARIS 2133,15.0458,,C
+137,1,1,"Newsom, Miss. Helen Monypeny",female,19,0,2,11752,26.2833,D47,S
+138,0,1,"Futrelle, Mr. Jacques Heath",male,37,1,0,113803,53.1,C123,S
+139,0,3,"Osen, Mr. Olaf Elon",male,16,0,0,7534,9.2167,,S
+140,0,1,"Giglio, Mr. Victor",male,24,0,0,PC 17593,79.2,B86,C
+141,0,3,"Boulos, Mrs. Joseph (Sultana)",female,,0,2,2678,15.2458,,C
+142,1,3,"Nysten, Miss. Anna Sofia",female,22,0,0,347081,7.75,,S
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