Update app.py

app.py

@@ -1,32 +1,87 @@
-import gradio as gr
-import time
-
-def analyze_skin(text_input, image_input=None):
-    time.sleep(2)
-    if image_input:
-        return "نتیجه تحلیل تصویر: مشکل پوستی تشخیص داده شد"
-    return f"پاسخ به متن: {text_input}"
-
-# ساخت اینترفیس ساده‌تر
-with gr.Blocks() as demo:
-    with gr.Tab("مشاوره متنی"):
-        gr.ChatInterface(
-            analyze_skin,
-            examples=["جوش صورت", "لک پوستی"],
-            cache_examples=False  # غیرفعال کردن کش
-        )
-    
-    with gr.Tab("تحلیل تصویر"):
-        gr.Markdown("## تصویر خود را آپلود کنید")
-        img_input = gr.Image()
-        analyze_btn = gr.Button("تحلیل")
-        output = gr.Textbox()
-        
-        analyze_btn.click(
-            lambda img: analyze_skin("", img),
-            inputs=img_input,
-            outputs=output
-        )
-
-# تغییر مهم: اضافه کردن share=True
-demo.launch(share=True)
+# ===============================
+# Derma Space: Dataset Prep & HF Upload
+# ===============================
+
+!pip install datasets huggingface_hub --quiet
+
+import json
+import random
+import os
+from datasets import load_dataset
+from huggingface_hub import HfApi, login, upload_file
+
+# ------------------------
+# 1️⃣ ورود با Secret
+# ------------------------
+hf_token = os.environ["HF_TOKEN"]  # توکن باید در Secrets Space اضافه شده باشد
+login(token=hf_token)
+
+# ------------------------
+# 2️⃣ بارگذاری دیتاست عمومی
+# ------------------------
+print("Loading DailyDialog...")
+dd = load_dataset("daily_dialog")['train']
+dd_examples = [{"domain":"general","context":conv[i],"response":conv[i+1]}
+               for conv in dd['dialog'] for i in range(len(conv)-1)]
+
+print("Loading Persona-Chat...")
+pc = load_dataset("persona_chat", "self_original")['train']
+pc_examples = [{"domain":"general","context":conv['utterances'][i]['text'],
+                "response":conv['utterances'][i+1]['text']}
+               for conv in pc for i in range(len(conv['utterances'])-1)]
+
+general_examples = dd_examples + pc_examples
+random.shuffle(general_examples)
+general_examples = general_examples[:5000]  # نمونه‌گیری
+
+# ------------------------
+# 3️⃣ دیتاست تخصصی درماتولوژی
+# ------------------------
+print("Loading Dermatology QA (Mreeb)...")
+derma = load_dataset("Mreeb/Dermatology-Question-Answer-Dataset-For-Fine-Tuning")['train']
+derma_examples = [{"domain":"dermatology","context":item['question'],"response":item['answer']}
+                  for item in derma]
+
+print("Loading MedQuAD...")
+medquad = load_dataset("pythonafroz/MedQuAD")['train']
+derma_keywords = ["skin", "eczema", "psoriasis", "dermatitis", "melanoma", "acne", "rash"]
+medquad_derma = [{"domain":"dermatology","context":item['question'],"response":item['answer']}
+                 for item in medquad if any(k in item['question'].lower() for k in derma_keywords)]
+random.shuffle(medquad_derma)
+medquad_derma = medquad_derma[:500]
+
+dermatology_examples = derma_examples + medquad_derma
+random.shuffle(dermatology_examples)
+
+# ------------------------
+# 4️⃣ ترکیب نهایی
+# ------------------------
+all_examples = general_examples + dermatology_examples
+random.shuffle(all_examples)
+
+# ------------------------
+# 5️⃣ ذخیره به JSONL
+# ------------------------
+output_file = "derma_chat_mix.jsonl"
+with open(output_file, 'w', encoding='utf-8') as f:
+    for ex in all_examples:
+        f.write(json.dumps(ex, ensure_ascii=False) + "\n")
+
+print(f"✅ Dataset saved locally as {output_file} ({len(all_examples)} examples)")
+
+# ------------------------
+# 6️⃣ آپلود به Hugging Face Hub
+# ------------------------
+repo_id = "username/Derma"  # نام کاربری خودت + نام Space
+api = HfApi()
+api.create_repo(repo_id=repo_id, repo_type="dataset", exist_ok=True)
+
+upload_file(
+    path_or_fileobj=output_file,
+    path_in_repo=output_file,
+    repo_id=repo_id,
+    repo_type="dataset",
+    commit_message="Initial upload of text-based chat dataset"
+)
+
+print(f"✅ Dataset uploaded to Hugging Face Hub: https://huggingface.co/datasets/{repo_id}")