Add application file

.env

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+Langchain="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"

Dockerfile

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+FROM python:3.10-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

main.py

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+from fastapi import FastAPI, Form, Request
+from fastapi.responses import HTMLResponse
+from fastapi.templating import Jinja2Templates
+from markdown2 import markdown
+from refine_prompt import run_refiner
+import os
+from fastapi.middleware.cors import CORSMiddleware
+
+
+app = FastAPI()
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],  # or frontend's domain
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+templates = Jinja2Templates(directory="templates")
+
+@app.get("/", response_class=HTMLResponse)
+async def show_form(request: Request):
+    return templates.TemplateResponse("form.html", {"request": request})
+
+@app.post("/refine", response_class=HTMLResponse)
+async def refine(request: Request, idea: str = Form(...)):
+    result = run_refiner(idea)
+
+    # Format all results into Markdown
+    markdown_output = f"""
+## 🧠 Refined Idea
+{result['refined_idea']}
+
+---
+
+## 📊 Market Info
+{result['market_info']}
+
+---
+
+## 📽️ Slide Summary
+{result['slide_summary']}
+"""
+
+    html_output = markdown(markdown_output)
+
+    return templates.TemplateResponse("result.html", {
+        "request": request,
+        "output_html": html_output
+    })

refine_prompt.py

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+from openai import OpenAI
+from dotenv import load_dotenv
+
+from datetime import datetime
+import json
+import os
+load_dotenv()
+
+key=os.getenv("Langchain")
+client = OpenAI(
+  base_url="https://openrouter.ai/api/v1",
+  api_key=key,
+)
+
+completion = client.chat.completions.create(
+  model="z-ai/glm-4.5-air:free",
+  messages=[
+    {
+      "role": "user",
+      "content": "What is the meaning of life?"
+    }
+  ]
+)
+
+# print(completion.choices[0].message.content)
+refine_prompt = lambda idea: f"""You are a startup advisor.
+Refine this raw startup idea into a clearer concept.
+
+Raw Idea: {idea}
+
+Refined Idea:"""
+
+market_prompt = lambda refined: f"""Analyze this startup idea:
+{refined}
+
+Give:
+1. Problem it solves
+2. Target audience
+3. Estimated market size
+(Short and concise)."""
+
+slides_prompt = lambda refined: f"""Create a 5-slide pitch summary for this idea:
+{refined}
+
+Each slide should include:
+- A title
+- 2 bullet points
+Keep it punchy and startup-pitch style."""
+
+def ask_model(prompt, model="mistralai/mistral-7b-instruct"):
+    completion = client.chat.completions.create(
+        model=model,
+        messages=[{"role": "user", "content": prompt}]
+    )
+    return completion.choices[0].message.content.strip()
+
+def refine_startup_idea(raw_idea):
+    refined = ask_model(refine_prompt(raw_idea))
+    market_info = ask_model(market_prompt(refined))
+    slides = ask_model(slides_prompt(refined))
+
+    result = {
+        "timestamp": datetime.now().isoformat(),
+        "raw_idea": raw_idea,
+        "refined_idea": refined,
+        "market_info": market_info,
+        "slide_summary": slides
+    }
+
+    return result
+def save_result(result, folder="refined_ideas"):
+    os.makedirs(folder, exist_ok=True)
+    filename = f"{folder}/idea_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
+    with open(filename, "w") as f:
+        json.dump(result, f, indent=2)
+    print(f"✅ Saved to {filename}")
+# idea = input("💡 Enter your startup idea: ")
+# result = refine_startup_idea(idea)
+
+# print("\n🧠 Refined Idea:\n", result["refined_idea"])
+# print("\n📊 Market Info:\n", result["market_info"])
+# print("\n📽️ Slide Summary:\n", result["slide_summary"])
+
+# save_result(result)
+
+def run_refiner(raw_idea):
+    result = refine_startup_idea(raw_idea)
+    save_result(result)
+    return result

requirements.txt

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+langchain 
+openai 
+httpx 
+python-dotenv
+fastapi
+uvicorn 
+jinja2 
+python-multipart
+markdown2

templates/form.html

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+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Startup Idea Refiner</title>
+  </head>
+  <body>
+    <h2>🚀 Enter Your Raw Startup Idea</h2>
+    <form action="/refine" method="post">
+      <textarea name="idea" rows="6" cols="60" required></textarea><br /><br />
+      <button type="submit">Refine</button>
+    </form>
+  </body>
+</html>

templates/result.html

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+<!DOCTYPE html>
+<html>
+<head><title>Refined Output</title></head>
+<body>
+  <h2>✅ Refined Startup Idea</h2>
+  <div>{{ output_html|safe }}</div>
+  <br><a href="/">🔄 Try another</a>
+</body>
+</html>