Fitness app recommender

.gitignore

@@ -167,3 +167,5 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+*.json
+.DS_Store

examples/docker/fitness-tracker/Dockerfile

@@ -0,0 +1,10 @@
+FROM python:3.11
+
+COPY app.py app.py
+COPY .env .env
+COPY requirements.txt requirements.txt
+RUN pip install -r requirements.txt
+RUN pip install torch==2.1.1 torchvision==0.16.1 --index-url https://download.pytorch.org/whl/cpu
+
+
+ENTRYPOINT ["solara", "run", "app.py", "--host=0.0.0.0", "--port=80"]

examples/docker/fitness-tracker/app.py

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+import solara 
+from functools import partial
+
+## agent definition
+from haystack.nodes import WebSearch
+from haystack.nodes import AnswerParser, PromptNode, PromptTemplate
+from haystack.document_stores import InMemoryDocumentStore
+from haystack.nodes import BM25Retriever, PromptTemplate, AnswerParser, PromptNode
+import os
+from haystack.pipelines import Pipeline
+from haystack.schema import Document
+from typing import List 
+from dotenv import load_dotenv
+import os
+
+css = """
+    .main {
+        width: 100%;
+        height: 100%;
+        max-width: 1200px;
+        margin: auto;
+        padding: 1em;
+    }
+
+    #app > div > div:nth-child(2) > div:nth-child(2) {
+    display: none;
+}
+"""
+
+# Load the API key from the .env file
+load_dotenv(".env")
+serperdev_api_key = os.getenv("SERPERDEV_API_KEY")
+openai_key = os.getenv("OPENAI_KEY")
+
+
+def document_store_and_pipeline(documents):
+# Initialize Haystack's QA system
+    document_store = InMemoryDocumentStore(use_bm25=True)
+    document_store.write_documents(documents)
+
+
+    rag_prompt = PromptTemplate(
+        prompt="""Synthesize a brief answer from the following text for the given question.
+                                Provide a clear and concise response that summarizes the key points and information presented in the text.
+
+                                \n\n Related text: {join(documents)} \n\n Question: {query} \n\n Answer:""",
+        output_parser=AnswerParser(),
+    )
+
+    # Set up nodes
+    retriever = BM25Retriever(document_store=document_store, top_k=5)
+    pn = PromptNode("gpt-3.5-turbo", 
+                    api_key=openai_key, 
+                    model_kwargs={"stream":False},
+                    default_prompt_template=rag_prompt)
+
+    # Set up pipeline
+    pipe = Pipeline()
+    pipe.add_node(component=retriever, name="retriever", inputs=["Query"])
+    pipe.add_node(component=pn, name="prompt_node", inputs=["retriever"])
+
+    return pipe
+
+
+
+
+class State:
+    diet_plan = solara.reactive("")
+    workout_plan = solara.reactive("")
+
+    @staticmethod
+    def load_sample():
+        # Example loading sample data logic
+        # You should replace this with your actual data loading logic
+        State.diet_plan.value = "Sample Diet Plan"
+        State.workout_plan.value = "Sample Workout Plan"
+
+    @staticmethod
+    def reset():
+        # Reset the state values
+        State.diet_plan.value = ""
+        State.workout_plan.value = ""
+
+def display_results():
+    diet_plan = State.diet_plan.value
+    workout_plan = State.workout_plan.value
+
+    return solara.Column([
+        solara.Markdown("### Your Personalized Diet Plan"),
+        solara.Markdown(diet_plan),
+        solara.Markdown("### Your Personalized Workout Plan"),
+        solara.Markdown(workout_plan)
+    ])
+
+@solara.component
+def user_input_form():
+    weight, set_weight = solara.use_state(0)
+    height, set_height = solara.use_state(0)
+    age, set_age = solara.use_state(0)
+    gender, set_gender = solara.use_state("")
+    body_type, set_body_type = solara.use_state("")
+    activity_level, set_activity_level = solara.use_state("")
+    goal, set_goal = solara.use_state("")
+
+    def on_clear():
+        State.reset()
+
+
+    def on_submit():
+        process_data(weight, height, gender, body_type, activity_level, goal)
+
+    return solara.Column(style="margin-top: 40px; width: 80%;", 
+        children=[
+        solara.InputFloat(label="Weight (kg)", value=weight, on_value=set_weight),
+        solara.InputFloat(label="Height (cm)", value=height, on_value=set_height),
+        solara.Select(label="Gender", values=["Male", "Female", "Other"], value=gender, on_value=set_gender),
+        solara.Select(label="Body Type", values=["Ectomorph", "Mesomorph", "Endomorph"], value=body_type, on_value=set_body_type),
+        solara.Select(label="Activity Level", values=["Sedentary", "Lightly active", "Moderately active", "Very active"], value=activity_level, on_value=set_activity_level),
+        solara.Select(label="Goal", values=["Weight loss", "Muscle gain", "Fitness maintenance"], value=goal, on_value=set_goal),
+        solara.Button("Submit", on_click=on_submit),
+        solara.Button("Clear Results", on_click=on_clear)
+    ])
+
+
+def process_data(weight, height, gender, body_type, activity_level, goal):
+    # Example logic for processing data and generating suggestions
+    diet_plan = generate_diet_plan(weight, height, gender, activity_level, goal, body_type)
+    workout_plan = generate_workout_plan(weight, height, gender, body_type, activity_level, goal)
+
+    # Store the plans in a state to display them
+    State.diet_plan.value = diet_plan
+    State.workout_plan.value = workout_plan
+
+def generate_workout_plan(weight, height, gender, body_type, activity_level, goal):
+    search = WebSearch(api_key=serperdev_api_key)
+    query = f"What is a good workout plan for someone who is {gender}, weighs {weight} kg, and is {height} cm tall, with {body_type} body type, whose activity level is {activity_level}, whose goal is to {goal}? Please include frequency and duration in your response."
+    search_results = search.run(query=query, top_k=10)
+
+    # Transform search results into Document objects
+    documents = search_results[0]['documents']
+
+    pipe = document_store_and_pipeline(documents)
+    results = pipe.run(query=query, documents=documents)
+
+    # Process results and return a formatted string
+    answers = "\n".join([res.answer for res in results['answers']])
+    title = "\n \n ".join([f"* {res.meta['title']}" for res in results['documents']])
+    link =  "\n \n".join([f"* {res.meta['link']}" for res in results['documents']])
+    formatted_results = f"Answer: {answers} \n\n Retrieved from: \n\n Titles: \n\n {title} \n\n Links: \n\n {link} \n\n "
+    return formatted_results
+
+
+def generate_diet_plan(weight, height, gender, activity_level, goal, body_type):
+    search = WebSearch(api_key=serperdev_api_key)
+    query = f"What is a good diet and nutrition plan for someone who is {gender}, \
+        weighs {weight} kg, and is {height} cm tall, with {body_type} \
+            body type, whose activity level is {activity_level}, \
+                whose goal is to {goal}? Please include calorie and macro suggestion."
+    search_results = search.run(query=query, top_k=10)
+
+    # Transform search results into Document objects
+    documents = search_results[0]['documents']
+
+    pipe = document_store_and_pipeline(documents)
+    results = pipe.run(query=query, documents=documents)
+
+    # Process results and return a formatted string
+    answers = "\n".join([res.answer for res in results['answers']])
+    title = "\n \n ".join([f"* {res.meta['title']}" for res in results['documents']])
+    link =  "\n \n".join([f"* {res.meta['link']}" for res in results['documents']])
+    formatted_results = f"Answer: {answers} \n\n Retrieved from: \n\n Titles: \n\n {title} \n\n Links: \n\n {link} \n\n "
+    return formatted_results
+
+@solara.component
+def Page():
+    with solara.AppBarTitle():
+        solara.Text("Personalized Diet and Workout Planner")
+
+
+
+    return solara.Row(classes=["main"],style=css, 
+                      children=[
+
+                        solara.Column([
+                        solara.Markdown("# Welcome to Your Personalized Planner"),
+                        solara.Markdown(
+                            """
+                            Welcome to your Personalized Diet and Workout Planner. 
+                            Please input your details like weight, height, gender, body type, activity level, and goal 
+                            to receive customized diet and workout plans.
+                            """, style="margin-top: 20px; width: 80%;",
+                        ),
+                        solara.Markdown("Please enter your details to get started."),
+                        user_input_form(),
+                        solara.Markdown("App hosted in [Ploomber Cloud](https://ploomber.io/)")
+
+                    ]),
+        solara.Row(classes=["main"],style=css, children=[
+            solara.Column(
+                style="margin-top: 40px; width: 150%;",
+                children=[
+                    solara.Markdown("# Your results"),
+                    display_results()
+                        ])
+                ])
+        ])
+
+
+
+@solara.component
+def Layout(children):
+    route, routes = solara.use_route()
+    return solara.AppLayout(children=children)

examples/docker/fitness-tracker/requirements.txt

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+farm-haystack
+solara==1.25.1
+python-dotenv