Create body_analyzer.py

body_analyzer.py

@@ -0,0 +1,45 @@
+import requests
+import os
+
+HF_API_KEY = os.getenv("HF_API_KEY")  # Hugging Face free account
+HF_HEADERS = {"Authorization": f"Bearer {HF_API_KEY}"}
+
+MODELS = {
+    "ai_detector": "roberta-base-openai-detector",
+    "sentiment": "finiteautomata/bertweet-base-sentiment-analysis",
+    "spam": "mrm8488/bert-tiny-finetuned-sms-spam-detection",
+}
+
+def query_hf(model, text):
+    url = f"https://api-inference.huggingface.co/models/{model}"
+    res = requests.post(url, headers=HF_HEADERS, json={"inputs": text[:1000]})
+    return res.json()
+
+def analyze_body(text):
+    findings = []
+
+    # 1. AI-generated detection
+    try:
+        result = query_hf(MODELS["ai_detector"], text)
+        if isinstance(result, list):
+            findings.append(f"Body: AI Detector → {result[0]['label']} (confidence {result[0]['score']:.2f})")
+    except:
+        findings.append("Body: AI detection failed")
+
+    # 2. Sentiment / Tone
+    try:
+        result = query_hf(MODELS["sentiment"], text)
+        if isinstance(result, list):
+            findings.append(f"Body: Sentiment → {result[0]['label']} (confidence {result[0]['score']:.2f})")
+    except:
+        findings.append("Body: Sentiment analysis failed")
+
+    # 3. Spam vs Ham
+    try:
+        result = query_hf(MODELS["spam"], text)
+        if isinstance(result, list):
+            findings.append(f"Body: Spam Detector → {result[0]['label']} (confidence {result[0]['score']:.2f})")
+    except:
+        findings.append("Body: Spam detection failed")
+
+    return findings