Create main.py

main.py

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+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+import httpx
+import os
+
+# --- Configuration ---
+# In a real application, use a proper search API and manage keys securely.
+# For this example, we'll use a placeholder.
+SEARCH_API_URL = "https://rkihacker-brave.hf.space/search"
+
+# --- System Prompt ---
+SYSTEM_PROMPT = """
+You are Binglity, a helpful and friendly AI assistant with web search capabilities.
+Your goal is to provide accurate and relevant information to users by searching the web.
+When responding, synthesize the information from the search results into a coherent answer.
+Always be polite and informative.
+"""
+
+# --- FastAPI App ---
+app = FastAPI(
+    title="Binglity API",
+    description="A web search-powered chatbot alternative to Perplexity.",
+    version="1.0.0",
+)
+
+# --- Pydantic Models ---
+class SearchRequest(BaseModel):
+    query: str
+
+class SearchResult(BaseModel):
+    title: str
+    url: str
+    description: str
+
+class SearchResponse(BaseModel):
+    binglity_response: str
+    search_results: list[SearchResult]
+
+
+# --- Web Search Function ---
+async def perform_web_search(query: str) -> list[SearchResult]:
+    """
+    Performs a web search using an external API and returns a list of search results.
+    """
+    async with httpx.AsyncClient() as client:
+        try:
+            response = await client.get(
+                SEARCH_API_URL,
+                params={"query": query, "max_results": 5}
+            )
+            response.raise_for_status()
+            results = response.json()
+            return [SearchResult(**item) for item in results]
+        except httpx.HTTPStatusError as e:
+            raise HTTPException(status_code=e.response.status_code, detail=f"Error from search API: {e.response.text}")
+        except Exception as e:
+            raise HTTPException(status_code=500, detail=f"An unexpected error occurred during web search: {str(e)}")
+
+# --- API Endpoint ---
+@app.post("/search", response_model=SearchResponse)
+async def search(request: SearchRequest):
+    """
+    Takes a user query, performs a web search, and returns a response from Binglity.
+    """
+    search_results = await perform_web_search(request.query)
+
+    # --- Simulate Model Response ---
+    # In a real application, you would pass the system prompt, query, and search results
+    # to a large language model to generate a more nuanced response.
+    if not search_results:
+        binglity_response = "I couldn't find any relevant information for your query."
+    else:
+        response_intro = f"Here's what I found for '{request.query}':\n\n"
+        formatted_results = "\n\n".join(
+            f"Title: {res.title}\nDescription: {res.description}\nURL: {res.url}"
+            for res in search_results
+        )
+        binglity_response = SYSTEM_PROMPT + "\n\n" + response_intro + formatted_results
+
+    return {
+        "binglity_response": binglity_response,
+        "search_results": search_results,
+    }
+
+@app.get("/")
+def read_root():
+    return {"message": "Welcome to the Binglity API"}
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8000)