Upload folder using huggingface_hub

app.py

@@ -18,22 +18,27 @@ def predict():
     data = request.json
     year = data.get("year", "2026")
     
-    # Construct technical context for SciBERT
-    input_text = f"Scientific and technological advancements emergent in the year {year}."
+    # Construct technical context for SciBERT for different tech categories
+    categories = ["AI/ML", "Quantum", "Biotech", "Computing"]
+    tech_scores = {}
     
-    # Tokenization
-    inputs = tokenizer(input_text, return_tensors="pt", truncation=True, max_length=512)
-    
-    # Prediction
-    with torch.no_grad():
-        outputs = model(**inputs)
-        # Assuming classification for tech maturity/risk
-        prediction = torch.softmax(outputs.logits, dim=1).tolist()[0]
+    for category in categories:
+        # Create category-specific input text
+        input_text = f"Scientific and technological advancements in {category} emergent in the year {year}."
+        
+        # Tokenization
+        inputs = tokenizer(input_text, return_tensors="pt", truncation=True, max_length=512)
+        
+        # Prediction
+        with torch.no_grad():
+            outputs = model(**inputs)
+            # Get the first prediction score for this category
+            prediction = torch.softmax(outputs.logits, dim=1).tolist()[0]
+            tech_scores[category] = prediction[0]
 
-    # This result would then be sent to the Conductor/LangGraph for Econ processing
     return jsonify({
         "year": year,
-        "tech_maturity_score": prediction[0], 
+        "tech_scores": tech_scores,
         "status": "SENT_TO_CONDUCTOR"
     })
 

deploy_fresh.py

@@ -0,0 +1,100 @@
+#!/usr/bin/env python3
+"""
+Fresh deployment script - creates a new HF Space from scratch
+"""
+
+import os
+import subprocess
+from pathlib import Path
+
+def run_command(cmd):
+    """Run a command and return the result"""
+    try:
+        result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
+        if result.returncode != 0:
+            print(f"Error: {result.stderr}")
+            return False
+        print(result.stdout)
+        return True
+    except Exception as e:
+        print(f"Exception: {e}")
+        return False
+
+def deploy_fresh():
+    """Deploy to a fresh HF Space"""
+    hf_token = os.getenv('HF_TOKEN')
+    if not hf_token:
+        print("HF_TOKEN not set. Please run:")
+        print("set HF_TOKEN=your_huggingface_token_here")
+        return False
+    
+    print("Creating fresh HF Space deployment...")
+    
+    # Create deployment script
+    deploy_script = f'''
+from huggingface_hub import HfApi
+
+api = HfApi(token="{hf_token}")
+
+# Get username first
+try:
+    user_info = api.whoami()
+    username = user_info["name"]
+    print(f"Username: {{username}}")
+except Exception as e:
+    print(f"Could not get username: {{e}}")
+    username = "gsstec"  # fallback
+
+repo_id = f"{{username}}/tec-app"
+print(f"Creating space: {{repo_id}}")
+
+try:
+    # Create the space
+    api.create_repo(
+        repo_id=repo_id,
+        repo_type="space",
+        space_sdk="docker",
+        exist_ok=True,
+        private=False
+    )
+    
+    print("Space created successfully!")
+    print("Uploading files...")
+    
+    # Upload files
+    api.upload_folder(
+        folder_path=".",
+        repo_id=repo_id,
+        repo_type="space",
+        ignore_patterns=[".git", "__pycache__", "*.pyc", "temp_deploy.py", "deploy_fresh.py", "redeploy.py"]
+    )
+    
+    print(f"Successfully deployed to https://huggingface.co/spaces/{{repo_id}}")
+    print("Your app will be available in a few minutes!")
+    print("The Docker container will build and start automatically.")
+    
+except Exception as e:
+    print(f"Deployment failed: {{e}}")
+    import traceback
+    traceback.print_exc()
+'''
+    
+    with open('temp_deploy.py', 'w') as f:
+        f.write(deploy_script)
+    
+    success = run_command("python temp_deploy.py")
+    
+    # Cleanup
+    if Path('temp_deploy.py').exists():
+        Path('temp_deploy.py').unlink()
+    
+    return success
+
+if __name__ == "__main__":
+    print("Fresh HF Space Deployment")
+    print("=" * 25)
+    
+    if deploy_fresh():
+        print("Deployment completed!")
+    else:
+        print("Deployment failed!")