updata1 main.py

app.py

@@ -1,41 +1,32 @@
 import gradio as gr
 import requests
-import os
 
-# Hugging Face API anahtarını Settings → Variables → HF_API_KEY olarak eklemelisin.
-HF_API_KEY = os.getenv("HF_API_KEY")
+HF_API_URL = "https://router.huggingface.co/hf-inference"
+MODEL_ID = "meta-llama/Llama-3.2-1B-Instruct"
+HEADERS = {"Authorization": "Bearer hf_your_token_here"}
 
 def ask_model(prompt):
-    headers = {
-        "Authorization": f"Bearer {HF_API_KEY}",
-        "Content-Type": "application/json",
-    }
-    data = {"inputs": prompt}
-
-    # ✅ Yeni Hugging Face yönlendirme sistemi
-    API_URL = "https://router.huggingface.co/hf-inference/models/mistralai/Mistral-7B-Instruct-v0.2"
-
-    try:
-        response = requests.post(API_URL, headers=headers, json=data, timeout=60)
-
-        if response.status_code == 200:
-            output = response.json()
-            # Bazı modeller farklı yapıda dönebilir
-            if isinstance(output, list) and "generated_text" in output[0]:
-                return output[0]["generated_text"]
-            else:
-                return str(output)
-        else:
-            return f"Error: {response.status_code} - {response.text}"
-    except Exception as e:
-        return f"Hata oluştu: {str(e)}"
+    response = requests.post(
+        HF_API_URL,
+        headers=HEADERS,
+        json={
+            "model": MODEL_ID,
+            "inputs": prompt,
+            "parameters": {"max_new_tokens": 200},
+        },
+    )
+    if response.status_code == 200:
+        result = response.json()
+        return result[0]["generated_text"]
+    else:
+        return f"Error {response.status_code}: {response.text}"
 
 iface = gr.Interface(
     fn=ask_model,
-    inputs=gr.Textbox(label="Prompt"),
-    outputs=gr.Textbox(label="Yanıt"),
+    inputs=gr.Textbox(label="prompt"),
+    outputs="text",
     title="Flutter AI Proxy",
-    description="Flutter uygulaman buraya istek atacak, model yanıt dönecek.",
+    description="Flutter uygulaman buraya istek atacak, model yanıt dönecek."
 )
 
-iface.launch(share=True)
+iface.launch()