Running The App

.env

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+GOOGLE_API_KEY=AIzaSyCzkwTikgJrpB-7ViBlDSmcXJq-GyrfNm4
+
+
+

README.md

@@ -1,12 +1,12 @@
----
-title: Inbody
-emoji: ⚡
-colorFrom: red
-colorTo: pink
-sdk: gradio
-sdk_version: 5.33.2
-app_file: app.py
-pinned: false
----
+# InBody Fitness Analysis AI
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+This is a FastAPI-powered app using LangChain + Gemini to generate:
+- InBody report analysis
+- Training plan
+- Nutrition plan
+- Weekly regime
+
+Frontend: HTML/JS
+Backend: FastAPI with LangChain & Google Gemini
+
+Hosted on Hugging Face Spaces 🎯

app.py

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+from fastapi import FastAPI, Request
+from fastapi.responses import HTMLResponse
+from pydantic import BaseModel
+from langchain.chains import LLMChain
+from langchain.prompts import PromptTemplate
+from langchain_google_genai import ChatGoogleGenerativeAI
+import uvicorn
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+app = FastAPI()
+
+# Serve HTML form at /inbody
+@app.get("/inbody", response_class=HTMLResponse)
+async def serve_ui():
+    with open("static/index.html", "r", encoding="utf-8") as f:
+        return f.read()
+
+# Input data schema
+class InBodyRequest(BaseModel):
+    name: str
+    age: int
+    sex: str
+    report: str
+
+# Prompt chains
+analyze_prompt = PromptTemplate.from_template("""
+You are a world-class certified fitness and health coach with deep expertise in human physiology, sports science, and nutrition.
+
+Name: {name}
+Age: {age}
+Sex: {sex}
+
+InBody Report:
+{report}
+
+Based on the above, provide a professional analysis:
+- Identify key strengths and weaknesses.
+- Highlight red flags or areas of concern.
+- Use precise, expert language and back your insights with reasoning.
+""")
+
+analyze_chain = LLMChain(
+    llm=ChatGoogleGenerativeAI(model="gemini-2.0-flash", temperature=0.5),
+    prompt=analyze_prompt,
+    output_key="analysis"
+)
+
+training_prompt = PromptTemplate.from_template("""
+Based on this analysis: {analysis}
+Design a weekly training plan that includes cardio, strength training, and flexibility to improve body composition and overall fitness.
+""")
+
+training_chain = LLMChain(
+    llm=ChatGoogleGenerativeAI(model="gemini-2.0-flash", temperature=0.7),
+    prompt=training_prompt,
+    output_key="training_plan"
+)
+
+nutrition_prompt = PromptTemplate.from_template("""
+Based on the following analysis: {analysis}
+And this training plan: {training_plan}
+Generate a personalized nutritional plan to reduce body fat, support muscle growth, and optimize recovery. Include macro goals and sample meals.
+""")
+
+nutrition_chain = LLMChain(
+    llm=ChatGoogleGenerativeAI(model="gemini-2.0-flash", temperature=0.7),
+    prompt=nutrition_prompt,
+    output_key="nutrition_plan"
+)
+
+regime_prompt = PromptTemplate.from_template("""
+Combine this training plan: {training_plan}
+And this nutrition plan: {nutrition_plan}
+Into a clear daily/weekly schedule. Include timing suggestions and when to eat, train, and rest for optimal results.
+""")
+
+regime_chain = LLMChain(
+    llm=ChatGoogleGenerativeAI(model="gemini-2.0-flash", temperature=0.6),
+    prompt=regime_prompt,
+    output_key="regime"
+)
+
+# Combine all chains
+total_chain = analyze_chain | training_chain | nutrition_chain | regime_chain
+
+# POST endpoint for form submission
+@app.post("/inbody")
+def process_inbody(input: InBodyRequest):
+    result = total_chain.invoke({
+        "name": input.name,
+        "age": input.age,
+        "sex": input.sex,
+        "report": input.report
+    })
+    return {
+        "analysis": result["analysis"],
+        "training_plan": result["training_plan"],
+        "nutrition_plan": result["nutrition_plan"],
+        "regime": result["regime"]
+    }
+
+# 🚀 Hugging Face Spaces entry point
+def start():
+    uvicorn.run("app:app", host="0.0.0.0", port=7860, reload=False)

requirements.txt

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+fastapi
+uvicorn
+langchain
+python-dotenv
+langchain-google-genai

static/index.html

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+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <title>InBody Analysis</title>
+  <style>
+    body {
+      font-family: Arial, sans-serif;
+      padding: 40px;
+      max-width: 700px;
+      margin: auto;
+      background-color: #f4f4f4;
+    }
+    label {
+      display: block;
+      margin-top: 10px;
+    }
+    textarea, input, select {
+      width: 100%;
+      padding: 8px;
+      margin-top: 5px;
+    }
+    button {
+      margin-top: 20px;
+      padding: 10px 20px;
+      font-size: 16px;
+    }
+    .output {
+      margin-top: 30px;
+      padding: 20px;
+      background-color: white;
+      border-radius: 10px;
+    }
+    .loader {
+      border: 4px solid #f3f3f3;
+      border-top: 4px solid #3498db;
+      border-radius: 50%;
+      width: 18px;
+      height: 18px;
+      animation: spin 1s linear infinite;
+      display: inline-block;
+      vertical-align: middle;
+      margin-right: 8px;
+    }
+    @keyframes spin {
+      0% { transform: rotate(0deg); }
+      100% { transform: rotate(360deg); }
+    }
+  </style>
+</head>
+<body>
+
+  <h2>InBody AI Analysis</h2>
+
+  <label for="name">Name:</label>
+  <input id="name" type="text" placeholder="Enter your name" required>
+
+  <label for="age">Age:</label>
+  <input id="age" type="number" placeholder="Enter your age" required>
+
+  <label for="sex">Sex:</label>
+  <select id="sex">
+    <option value="male">Male</option>
+    <option value="female">Female</option>
+  </select>
+
+  <label for="report">InBody Report:</label>
+  <textarea id="report" rows="6" placeholder="Enter raw InBody report..."></textarea>
+
+  <button id="analyze-btn">Analyze</button>
+
+  <!-- Loading animation -->
+  <div id="loading" style="display: none; margin-top: 20px; font-weight: bold; color: blue;">
+    <span class="loader"></span> Processing your InBody report...
+  </div>
+
+  <!-- Output -->
+  <div class="output">
+    <h3>🧠 Analysis:</h3>
+    <p id="analysis"></p>
+
+    <h3>💪 Training Plan:</h3>
+    <p id="training"></p>
+
+    <h3>🥗 Nutrition Plan:</h3>
+    <p id="nutrition"></p>
+
+    <h3>📅 Weekly Regime:</h3>
+    <p id="regime"></p>
+  </div>
+
+  <script>
+    document.getElementById("analyze-btn").addEventListener("click", async () => {
+      const name = document.getElementById("name").value;
+      const age = parseInt(document.getElementById("age").value);
+      const sex = document.getElementById("sex").value;
+      const report = document.getElementById("report").value;
+
+      const loadingDiv = document.getElementById("loading");
+      loadingDiv.style.display = "block";
+
+      try {
+        const response = await fetch("http://localhost:8000/inbody", {
+          method: "POST",
+          headers: {
+            "Content-Type": "application/json"
+          },
+          body: JSON.stringify({ name, age, sex, report })
+        });
+
+        const result = await response.json();
+
+        document.getElementById("analysis").textContent = result.analysis;
+        document.getElementById("training").textContent = result.training_plan;
+        document.getElementById("nutrition").textContent = result.nutrition_plan;
+        document.getElementById("regime").textContent = result.regime;
+      } catch (error) {
+        alert("Something went wrong. Please check your backend.");
+        console.error(error);
+      } finally {
+        loadingDiv.style.display = "none";
+      }
+    });
+  </script>
+
+</body>
+</html>